Engineer Salary in San Jose, CA

 Job Title      Associate Civil Engineer               |              Requisition ID       req570 Type of Employment        Regular Full-Time Employee              |              Job Openings     1Compensation Range        98900.00 - 178100.00              |              Compensation Type     Annual Salary Founded in 1866, San Jose Water Company is an investor owned water company headquartered in Silicon Valley. With a service area of 140 square miles, it is one of the largest and most technically sophisticated urban water system in the United States. We serve over 1 million people with high quality, life sustaining water, with an emphasis on exceptional customer service.We are actively seeking talented, driven and highly-productive applicants for the position of Associate Civil Engineer to join our dynamic team. We offer a challenging and rewarding work environment along with a competitive salary and an excellent benefits package.  DEFINITION: Under general direction, the Associate Civil Engineer - Special Facilities performs complex professional civil and mechanical work related to the design, construction and project management of San Jose Water Company (Company) water facilities such as new and replacement wells,  chemical and potable water storage tanks, pressure regulating stations, booster pump stations, water treatment and disinfection facilities, pipelines, special projects (alternative energy, tenant improvements, landscaping and paving) and other engineering duties as assigned.  Provides project coordination with engineering groups/staff assigned to projects. MINIMUM QUALIFICATIONS:Education and Experience:Bachelor of Science degree in Civil Engineering or Mechanical Engineering or a related field from an accredited college or university.A minimum of two years of relevant professional work experience.License or Certificate:Valid Registration in the State of California as a Professional Engineer (PE) with the Board for Professional Engineers, Land Surveyors and Geologists (BPELSG).Valid California driver license issued by the State Department of Motor Vehicles with a satisfactory driving record.ESSENTIAL FUNCTIONS, PRINCIPAL DUTIES and RESPONSIBILITIES:Prepares plans and specifications for construction of projects for potable water production, transmission, distribution, storage and treatment, including pipeline and service connection design.Stamps and signs design drawings as the engineer of record.Prepares bid documents, monitors design costs and overall project budget and provides support services during construction.Coordinates work with other Company groups such as Survey, Operations, Electrical, Water Treatment, Water Quality, Properties and Permits, Planning, Pipelines, Accounting, Regulatory, Logistics and Procurement, Environmental Health and Safety and GIS.Coordinates with outside consultants and contractors in the planning, design and construction of potable water and treatment facilities.Obtains all necessary permits with local jurisdictions (Grading, Building, Encroachment, etc.) and assists in getting permits from state and federal agencies such as Clean Water Act (CWA) Sections 401, 404 permits and Streambed Alteration Agreement (SAA).Performs field investigation, construction observation and inspection.Assists contractors, general public and governmental agencies with questions relating to potable water systems.Updates Company standards and drawings.Maintains documentation including correspondence, meeting minutes, request for information and submittal review.The ideal candidate is a highly motivated self-starter with strong interpersonal and leadership skills, a demonstrated track record of successfully completing projects, and the ability to develop in-house design packages as the engineer of record. As a member of the Engineering Department, the ideal candidate will be a technical resource throughout the Company and the Group. The ideal candidate works under general supervision and may be assigned specific projects with minimal supervision.REQUIRED KNOWLEDGE, SKILLS and ABILITIES:Knowledge of principles and practices of civil and mechanical engineering as applied to water supply distribution, treatment and operation.Proficiency with the following software: AutoCAD, MicroStation or equivalent drafting software. Adobe or Bluebeam. Microsoft Office (Word, Excel, PowerPoint, Outlook).Fundamentals of mathematics and physics related to water facilities design. Construction methods, materials and specifications. Ability to create new construction specifications. Excellent written and oral communication skills. Ability of conducting independent research and making prompt and sound engineering decisions.Pertinent regulations related to the design and construction of water facilities and structures. Operational and maintenance procedures utilized in potable water and treatment systems. Principles of surveying. OSHA safety design standards or requirements. Work experience in a public or private water utility is highly desirable.PHYSICAL REQUIREMENTS:Light to moderate driving of Company vehicle to job sites which may include rough terrain. Walking to various parts of the Company complex and at stations with paved and unpaved areas and on uneven ground. May work in extreme weather and ground conditions. Requires climbing ladders, stairs and scaffolding. Requires lifting 35 pounds. Majority of work involves computer work.EEO StatementOur company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Senior Field Engineer (Dams/Heavy Construction)San Jose, CA, United States | req1428 Senior Field Engineer (Dams/Heavy Construction)At Haley & Aldrich, a 900+ person national engineering and environmental consulting firm, our creative, technically strong staff work collaboratively to deliver exceptional value to clients. We look for professionals with a passion for solving complex challenges and for creating change, which is a vital part of our culture, no matter what role a staff member holds. We are seeking a 10–15-year experienced Senior Field Engineer (Dams/Heavy Construction) to help on Federal Energy Regulatory Commission (FERC) projects in the South Bay. This is a FULL-TIME position located in our San Jose, CA office with the expectation to work on-site in Morgan Hill, CA.DUTIES/RESPONSIBILITIES The successful candidate will:Have relevant experience with FERC projects and field investigations, analysis, and reporting for multiple energy projects under FERC guidelines (LNG, Nuclear, and Dam Projects).Have general Dam Experience with the following:Inspection: Slab and rock anchor installation and testing, scaling, and secant walls.Drilling types: Hollow-stem, solid stem, rotary wash, dry coring, drive sampling, sonic (soil and rock), rock coring, Pitcher barrel, truck/track, and large-diameter borings.Downhole: Geophysics (ATV, OTV, P and S wave), CPT, packer testing, and falling/constant head testing.Instrumentation installations: Monitoring wells, piezometers, and slope inclinometers.Sampling: Continuous and intermittent sampling, spt, mod-cal, shelby, pitcher, direct-push, rock and soil core.Stop Work Authority for Dam Drilling Activities: Has stop work authority in regards to unforeseen or abnormal drilling and site conditions.Be the design engineer, quality assurance inspector, project engineer, and resident engineer on civil construction projects involving landslide stabilization, grading and compaction, subsurface structures and foundation construction, slope and embankment stabilization, utilities and storm drain installation, roadway construction and related civil elements of various projects.Be proficient with engineering software including AutoCAD Civil 3D, Microsoft Project, development of project plans, specifications, and engineer’s estimates, geotechnical construction observation for modular block, cast-in-drilled-hole pile, lock, and load, sheet pile, and gabion retaining walls. Will be responsible for overseeing the placement of civil works on the surface including grading activities, foundations, and structures construction, slope stabilization/reinforcement, landslide stabilization, access/haul road construction, site fencing installation, site facilities construction, and utilities relocation/installation.Ensure that construction activities and any related testing required to confirm compliance with the specifications are performed. Prepare field inspection reports and advises the contractor of any observed non-conforming work and notifies the Chief Inspector of any non-conforming work that is not corrected by the Contractor.Have the authority to issue nonconformance reports and notifies the Chief Inspector and or the Assistant Resident Engineer for resolution. The Civil Inspector reports to the Chief Inspector and communicates to the Assistant Resident Engineer on any situation where the plans and specifications do not appear to be appropriate for the conditions encountered. The Civil Inspector has limited or no responsibility or involvement with contractor negotiations, scheduling of construction, and cost justification. SKILLS/EXPERIENCEBS in Civil Engineering and certification in Construction Management CA professional Engineering Registration 10-15 years’ relevant field experience with Dam/Tunneling field engineering activities. Hold certifications in ACI concrete testing and Nuclear Density Gauge with expertise in multiple ASTM testing requirements and procedures including materials testing and witnessing quality control inspections.About Haley & AldrichHaley & Aldrich is committed to delivering the value our clients need from their capital, operations, and environmental projects. Our one-team approach allows us to draw from our 900 engineers, scientists, and constructors in more than 35 offices for creative collaboration and expert perspectives. Since our founding in 1957, we have had one goal in all we do: deliver long-term value efficiently, no matter how straightforward or complex the challenge. Learn more at haleyaldrich.com.Haley & Aldrich is an equal opportunity employer. All qualified applications will receive consideration for employment without regard to gender, race, age, disability, veteran, or any other legally protected status. We offer excellent career growth, a highly competitive total compensation plan, and a solid benefits package. Interested candidates should apply on our Careers page.The salary range for this position in San Jose, CA is $110,000 - $135,000 annually. Actual compensation will be based upon a variety of factors such as education, related work experience, certificates, skills, and current market conditions. Haley & Aldrich reviews salary ranges each quarter to ensure we are competitive in the current market. Note to external search firms: Haley & Aldrich does not accept unsolicited resumes and will not be obligated to pay a placement fee for unsolicited resumes. Haley & Aldrich’s talent acquisition team engages with search firms directly through CrowdStaffing for hiring needs.#LI-JL1ACCOMMODATIONS FOR APPLICANTS WITH DISABILITIES AND LIMITED ENGLISH PROFICIENCY Haley & Aldrich, an equal opportunity employer committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans´ Readjustment Act of 1974, Title I of the Americans with Disabilities Act of 1990 and pursuant to Executive Order 13166, applicants with disabilities or limited English proficiency that require accommodation in the job application process may contact 1-617-886-7400 for assistance.PI238338166

At Cepheid, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable, groundbreaking solutions to solve the world's most complex health challenges. Our associates are involved in every stage of molecular diagnostics, from ideation to development and delivery of testing advancements that improve patient outcomes across a range of settings. As a member of our team, you can make an immediate, measurable impact on a global scale, within an environment that fosters career growth and development.Cepheid is proud to work alongside a community of six fellow Danaher Diagnostics companies. Together, we're working at the pace of change on diagnostic tools that address the world's biggest health challenges, driven by knowing that behind every test there is a patient waiting.Learn about the Danaher Business System which makes everything possible.The Staff Systems Integration Engineer is responsible for working developing and progressing the system integration strategy for the Systems Engineering team. In this role, you will be the systems integration lead on projects. The individual will develop new test methods, lead troubleshooting, and perform failure Investigations to support ongoing design and development efforts across Cepheid's diagnostic platforms. This role is ideal for an individual who enjoys solving complex technical problems and believes in our mission of delivering a better way to improve patient outcomes by enabling access to molecular diagnostic testing everywhere. A successful individual in this role will utilize technical knowledge, experience, and engineering tools and methodologies to bridge the gap across functional teams and connect critical elements, including Software, Firmware, Hardware, Consumables, Biochemistry, and Optics. You will be a critical player in a fast-paced team that is sustaining current bestselling generation instrumentation and developing next generation diagnostic instrument platforms and lab automation systems.This position is part of the Systems Engineering team and will be in in Sunnyvale, CA. At Cepheid, our mission is delivering A Better Way to improve patient outcomes by enabling access to molecular diagnostic testing everywhere.In this role, you will have the opportunity to:Develop an expert technical understanding of our products and serves as a holistic systems integration engineer capable of hands-on triaging of all Cepheid systems and subsystems.Lead technical projects and tasks involving a cross functional team.Perform hands-on laboratory testing in engineering, instrument, and biology labs.Analyze complex datasets to identify trends and areas for investigation.Work with cross-functional teams including Software, Firmware, Mechanical, Electrical, Customer Care, and Biochemistry.The essential requirements of the job include:Bachelor's degree in engineering, molecular biology, life sciences, or a related technical disciplineAt least 8 years of direct work experience as an engineer, scientist, or product developer (e.g., System Integration Engineer, System Development Engineer, Product Development Engineer, Physicist, or related occupation) in an industry laboratory setting. Or equivalent combination of advance degree with practical experience to perform at this level.Must have experience with developing and integrating complex instrumentation systems which incorporate optical, mechanical, thermal, and firmware/software components.Working knowledge of design of experiments, interpretation of test results, failure investigation and excellent problem-solving skillsData analysis expertise and experience with various data analysis software packages such as Origin, Matlab, Minitab, or Image Analysis SoftwareIt would be a plus if you also possess previous experience in:Medical device or biotechnology industry with GMP and GLP experienceSystems Engineering, such as requirements, system architecture, and risk analysisKnowledge of analog and digital electronics, hardware test method development, optomechanical design and assembly, electromechanical assembly.Cepheid, a Danaher company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at danaherbenefitsinfo.com.At Cepheid we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a hybrid work arrangement in which you can work part of the time at the Company location identified above and part of the time remotely from your home. Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Cepheid can provide.The salary range for this role is $160K-$180K. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.This job is also eligible for bonus/incentive pay.We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what's next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.Given the essential job duties of this position, the employee is required to be fully vaccinated against COVID-19 as a condition of employment, subject to reasonable accommodation and applicable law.Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve.Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.The EEO posters are available here.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request accommodation.

201 Third Street (61049), United States of America, San Francisco, CaliforniaSenior Engineer - Generative AI Product EngineerOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include: Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.Design APIs for performance, real-time applications, scale, ease of use and governance automation.Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.Enable our users to build new GenAI capabilities.Develop tools and processes to monitor API access patterns and operational health.Design and implement AI safety and guardrails in the API layer working closely with researchers.Basic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 4 years of experience designing and building and deploying ML application platforms.At least 4 years of experience programming with Python, Go, Scala, or JavaAt least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networksPreferred Qualifications:Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.Experience at tech and product-driven companies/startups preferred.Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.Familiarity with deploying large neural network models in demanding production environments.Have experience with API security, observability, cloud access control and privacy best practices.At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Locations: NY - New York, United States of America, New York, New YorkDistinguished Engineer, Generative AI Systems (Remote-Eligible)Distinguished Engineer, Generative AI SystemsOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries.Design and build infrastructure for serving large ML models, in our public cloud.Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud.Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selectionDevelop applications that leverage LLMs and FMs.Design and implement capabilities to support MLOps for foundation models.Capital One is open to hiring a Remote Employee for this opportunityBasic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 7 years of experience designing and building distributed computing HPC and large-scale ML systemsAt least 5 years of experience developing AI and ML algorithms in Python or C/C++At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.Preferred Qualifications:Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.Experience architecting cloud systems for security, availability, performance, scalability, and cost.Experience with delivering very large models through the MLOps life cycle from exploration to serving.Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning EngineerRemote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Locations: VA - McLean, United States of America, McLean, VirginiaSr Distinguished Engineer, Generative AI Systems - (Remote- Eligible)Sr Distinguished Engineer, Generative AI SystemsOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries.Design and build infrastructure for serving large ML models, in our public cloud.Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud.Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selectionDevelop applications that leverage LLMs and FMs.Design and implement capabilities to support MLOps for foundation models.Capital One is open to hiring a Remote Employee for this opportunityBasic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 9 years of experience designing and building distributed computing HPC and large-scale ML systemsAt least 6 years of experience developing AI and ML algorithms in Python or C/C++At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.Preferred Qualifications:Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.Experience architecting cloud systems for security, availability, performance, scalability, and cost.Experience with delivering very large models through the MLOps life cycle from exploration to serving.Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning EngineerRemote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Technical Support EngineerTechnical Support: Responsible for promptly responding to customer technical issues, coordinating internal and external resources, and providing continuous follow-up and resolution.Product Training: Responsible for conducting product training for relevant customer personnel to enhance their understanding and awareness of product features and business.Project Support: Analyze customer project requirements, develop project proposals, formulate technical solutions and bidding documents, anticipate technical issues during project implementation, and provide technical support throughout the project.After-sales Service: Responsible for handling after-sales issues and customer complaints, addressing and providing feedback on issues raised by customers, and assisting in resolving encountered problems.Qualifications:Bachelor's degree in a relevant field such as communication, electronics, or computer science.Strong learning ability, ability to work independently, good communication, coordination, and analytical skills, and strong self-management and time management skills.Strong proficiency in PPT creation and presentation skills.Some awareness of pre-sales.At least 3 years of work experience in the field of data center power distribution scheme design and technical support in the USA.Work Location: San Jose, California

AMPHENOL GLOBAL INTERCONNECT SYSTEMS Who We Are & What We Do: AGIS proudly stands as a leader in innovating the design and production of cutting-edge electro-mechanical cable assemblies and Value-Add Interconnect solutions. Our impact spans diverse markets, including Information Technology, Data Communications, Mobile Networks, Industrial, Heavy Equipment, Rail, and Military/Aerospace sectors globally. Emphasizing collaboration, we work closely with customers and partners to address unique interconnect challenges on a worldwide scale. With a dedicated workforce of approximately 9,500 employees, AGIS ensures a robust and knowledgeable team committed to excellence. Our extensive presence includes 38 sites across 15 countries, positioning AGIS to deliver innovative solutions and unparalleled support to customers globally. Check out our company video here. THE JOB Location: Silicon Valley/Bay Area Remote Work Available: 100% The Field Application Engineer will be responsible for offering customer engineering and development support. This position works with Sales, Product Development, and the Marketing Team to develop new customer targets and markets. They will interface with Engineering, Quality, Project Management, and Customer Service teams to communicate customer needs and follow up on open action items, provide first-response support on quality excursions and on-site customer support and technical backup when needed. Essential Duties and Responsibilities Develop personal relationships and rapport with key design influences at selected key accounts. Assist Field Sales in the development and implementation of strategies targeted at increased business volume. Promote Amphenol products and assists customers in selecting the correct parts to fit the application and/or design the product solutions that fit the customer's need. Design component and/or value-added assemblies, (computer-generated as required), and communicate them to Engineering to formalize a design. Assist in the investigation of potential engineering and/or quality issues that may arise. Establish and maintain an organized inventory of product literature and samples. Communicate with factory personnel in an accurate and concise manner. Deliver prototype samples as needed. Collect competitive data and reports to Sales and Marketing. Represent the Company in the marketplace and develop positive customer attitudes towards the Company. Control expenses appropriate to performance and scope. Provide feedback on market conditions and trends. Be able to utilize CAD Software (SolidWorks a plus). Job Requirements Minimum of a BS degree in Electrical and/or Mechanical Engineering. Masters a plus. Minimum 5 years' experience in design of electro/mechanical assembly. Minimum 5 years in sales/applications engineering for Electronic OEM design. Able to work flexible hours, willing to travel domestically and internationally. Well-developed interpersonal/communication skills. Able to travel up to ~40% - both domestic and international. Why Join Amphenol-GIS: Innovate with Impact: Be part of a team that thrives on innovation. At Amphenol-GIS, we tackle unique interconnect challenges head-on, creating solutions that make a real impact in a connected world. Collaborative Team: Join a team of dedicated professionals who believe in the power of collaboration. We recognize that diverse perspectives drive innovation, and we encourage an inclusive atmosphere where everyone's contributions are valued. Professional Development: We invest in our employees' growth and development. Through ongoing training programs, mentorship opportunities, and access to the latest industry trends, we empower our team members to reach their full potential. Diversity & Sustainability Matters We believe that a diverse and inclusive workplace is the key to innovation, creativity, and success. We are committed to building a team where every individual's unique background, perspective, and talent are not only valued but celebrated. As stewards of the planet, we recognize the urgent need to prioritize sustainability in every aspect of our business. We are committed to minimizing our environmental footprint, promoting eco-friendly practices, and contributing positively to the communities, we serve. Check out more about our Environmental, Social and Governance here. Amphenol offers a competitive salary and benefits. The candidate must be able to legally work in the United States; we are unable to provide sponsorship. Position requires candidate to be a U.S. person as defined in ITAR, 22 CFR 120.15 (U.S. Citizenship or Resident Alien Status) and defined by 8 U.S.C. 1101(a) (20). Amphenol is a proud Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, sex, sexual orientation, gender identity or expression, national origin, age, protected veteran status or disability status.

Job Req ID: 24258About Supermicro:Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.Job Summary:Supermicro Computer's Hardware Designing team is looking for an experienced Staff Hardware Design Engineer with extensive board design knowledge to be involved in the design and development of motherboards - which is the core component of our server products. Through closely collaborating, our Hardware Design Engineer will work with cross-functional teams to design high performance and cutting edge motherboards, which build upon the fundamental of our data center products. In addition, the Hardware Design Engineer will provide strong leadership and mentorship to ensure the team will shine under his/her leadership.Essential Duties and Responsibilities:Includes the following essential duties and responsibilities (other duties may also be assigned): • Collaborate with Product Manager to optimize product specification, analysis technical and feasibly • Responsible for schematics capture, layout checking, BOM generating, and debugging and testing of server motherboards / add-on cards / backplane products • Collaborate with layout engineers, validation engineers, software engineers, firmware engineers, product engineers and other teams to discover and solve any engineering issues in early stage to ensure and enhance the quality of the products • Prepare technical documentation including product specifications, layout instructions, test procedures, etc. • Accomplish the products to conform to engineering specifications, EMC and energy regulations, and customer performance expectations • Provide the clear documents and strong technical supports to the contract manufacturers and production department during the product sample and production stages • Support Technical Support Team and Field Application Engineer for ensure quality for entire product life cyc leQualifications:• Master's degree in electrical engineering with 9 years or Bachelor with 12 years of experience working with x86 server / workstation boards is preferred • Deep understanding of X86 architecture; Comprehensive knowledge on the PCB layout, debugging tools and software, oscilloscope, logic analyzer, etc. • In-depth knowledge of PCB layout, OrCAD/Allegro tools, circuit design, and PCB structure • Knowledge of high speed circuit design and voltage regular circuit design • Familiar with digital scope and high speed bus measurement • Excellent organizational skills, problem solving capability, and strong ability to adopt and learn new notion and technologies • Self-motivated and enthusiastic on working in fast-paced environmentPlease note that this position requires regular in-office attendance. The successful candidate is expected to be present in the office during standard working hours as determined by the company. In-office collaboration and participation in team meetings, training sessions, and other on-site activities are essential aspects of this role. Candidates should consider the commuting distance and be prepared to fulfill their responsibilities in the designated office location.Salary Range$170,000 - 210,000The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.EEO StatementSupermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Company DescriptionABOUT:A subsidiary of Veolia group, Veolia North America (VNA) offers a full spectrum of water, waste and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. VNA helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Mass., Veolia North America has more than 10,000 employees working at more than 350 locations across the continent. Please visit our website www.veolianorthamerica.comJob DescriptionTargeted Hourly Pay: $75.55BENEFITSVeolia's comprehensive benefits package includes paid time off policies, as well as health, dental and vision insurance. In addition, employees are also entitled to participate in an employer sponsored 401(k) plan, to save for retirement. Pay and benefits for employees represented by a union are outlined in their collective bargaining agreement.POSITION PURPOSE: The Lead Mobile Engineer's primary responsibility is to provide operations and maintenance support to the facilities assigned to his mobile route. This would include repair and maintenance and preventive maintenance on building systems and equipment included in the scope of work associated with the contract between Enovity and our customer, Alexandria Real Estate Equities. A company truck will be provided to the engineer to transport materials, tools and equipment to the various sites.PRIMARY DUTIES / RESPONSIBILITIES:The Lead Mobile Engineer will report directly to the Chief Engineers assigned to that area.Operation, maintenance, installation, replacement and repair of all boilers, heating pumps, valves, appurtenances and lines used in the distribution of steam and heated or processed water.Operation, maintenance, installation, replacement and repair of refrigerant compressors, condensers, evaporators, traps, transfer pumps, expansion valves, stop valves and float valves, together with all refrigerant lines and devices used to control temperature, and air conditioning systems in their entirety.Operation, maintenance, installation, replacement and repair of pumps handling brines or other secondary refrigerating liquids together with all valves, appurtenances and lines used in the system.Operation, maintenance, installation, replacement and repair of air compressors, together with distribution lines and all valves and devices for air control.Operation, maintenance, installation, replacement and repair of all natural and manufactured gas distribution lines, including all valves and devices for air control.Operation, maintenance, installation, replacement and repair of water filters, softeners, piping and pumps used in conjunction with water distribution, including all sinks and toilet bowls, including all supply lines, drains, water lines, control devices and sprinkler systems.Operation, maintenance, installation, replacement and repair of all types of electrical motors and engines used to power pumps, compressors and fans.Maintenance of elevators, man lifts, escalators and hoistways except where this type of equipment is serviced and maintained by specialized contractors, and only where the Engineer is properly licensed to do so.All electrical work and repair.Tools considered as necessary to the fulfillment of the duties of the engineer shall include all those which may be required in the performance of his duties, including such types of special equipment necessary to operate, install, maintain and repair the equipment listed.Operation, maintenance, installation, replacement and repair of all repair of all fuel oil systems including pumps, valves, lines and controls.Operation, maintenance, installation, replacement and repair of building automation systems for HVAC, including consoles, data gathering panels, remote sensors and indicating devices.Operation, maintenance, installation, replacement and repair of all mail conveyor systems excluding tenant owned systems.Operation, maintenance, installation, replacement and repair of sanitary sewer systems, sump pumps including basins, water closets, urinals and piping.Maintenance, installation, replacement and repair of trash compactors, including electrical and hydraulic systems.Maintenance, installation, replacement and repair of all kitchen equipment excluding tenant owned equipment. Operation, maintenance, installation, replacement and repair of all life Safety related equipment.QualificationsEducation / Experience / Background:Apprenticeship trainingMinimum of five (5) years' experience in the implementation of the aboveRequired Certification / Licenses / TrainingEPA - refrigerant. Licensed for equipment -- responsible per job location. Additional InformationDISCLAIMER:The salary, compensation and benefits information is accurate as of the date of publication of this notice. The company reserves the right to change this information at any time, subject to applicable law.We are an equal opportunity employer! All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.