Component Engineer Salary in Cambridge, MA

West Creek 2 (12072), United States of America, Richmond, VirginiaDirector, Machine Learning Cyber EngineerCyber security is one of the biggest threats of our day. In this role, you will have the opportunity to do work that protects our company and our customers. We're looking for someone who is passionate about cyber security and will help us achieve our business needs by driving delivery of Cyber tools and by integrating with software and processes across the company. Ensuring that Capital One's Cyber Detection and Mitigation system capabilities are able to continually grow to address the newest/latest threats.As a Capital One Machine Learning Cyber Engineer, you'll be providing technical leadership to Agile teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems.Own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impactLead large-scale ML initiatives with the customer in mind.Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.Optimize data pipelines to feed ML models.Use programming languages like Python, Scala, or Java.Evangelize best practices in all aspects of the engineering and modeling lifecycles.Attract and develop high-performing software engineers with an inspiring leadership style.Leverage your strong interpersonal, presentation/storytelling, and communications skills.Demonstrate Machine Learning industry impact through conference presentations, papers, blog posts, open source contributions, or patents.Basic Qualifications Bachelor's degreeAt least 7 years of experience designing and building data solutions using distributed computing.At least 6 years of experience programming with Python, Scala, or Java.At least 5 years of people management experience.At least 3 years of experience with the machine learning development lifecycle.Preferred Qualifications5+ years of experience delivering technical solutionsMaster's or doctoral degree in computer science, electrical engineering or mathematics.8+ years of experience within a data focused multi-line business environment.5+ years of experience designing, building, implementing, and scaling production-ready data pipelines for ML models.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 Director, Machine Learning EngineeringCandidates 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).

Harvard UniversityDescription: 02-Apr-2024Bio-Soft Lithography EngineerFaculty of Arts and Sciences 65471BRPosition DescriptionThe Center for Nanoscale Systems (CNS) at Harvard University seeks an enthusiastic, scientifically curious individual with a strong growth mindset to work within the Imaging and Analysis Group as a Scientist focused primarily on teaching and supporting researchers about microfluidic device fabrication and cell culture techniques. CNS is an open, shared-use facility that serves all of Harvard as well as external academic and industrial users. CNS typically supports more than 1,700 users annually. Working under the supervision of the Imaging and Analysis Facility Manager, and in coordination with the otherImaging and Analysis staff at CNS, this person will assist in the day-to-day operation of the soft lithography fabrication laboratory at the Science and Engineering Complex in Allston, MA the soft lithography fabrication laboratory and the cell culture laboratory both in the Laboratory for Science and Engineering Cambridge, MA.Day to day operations of these labs include teaching users safe and correct tool operation and working with users on experimental design, device design, sample preparation, data analysis, and data interpretation.This person will also be responsible for overseeing CNS’s compliance with Harvard and government safety laws and regulations. Their duties include coordinating with the CNS safety officer to identify potential risks, implementing policies and procedures to uphold safety regulations and monitoring their workplace for adherence to those policies and procedures.The candidate should be excited about teaching and assisting researchers in their scientific endeavors. The mission of this position is to enable and support other researchers' scientific and engineering endeavors. Strong teaching and interpersonal skills, e.g. approachability, patience, adaptability, confidence, ability to provide clear and concise explanations of complicated concepts, creativity, critical thinking, etc. are essential for this position.There is also a fair component of equipment maintenance, equipment trouble shooting, and general shared use lab management in the day-to-day operations of these labs.The candidate needs to be comfortable in a dynamic and fast paced environment assisting users on a wide variety of different types of projects from all across the range of biological and physical sciences. The candidate must have the willingness and the ability to quickly become an expert on a variety of topics. Being a science generalist is key to success in this position.The incumbent will become resources for the CNS scientific community and must have strong written and verbal communication skills to convey information effectively and efficiently.The candidate will also on occasion perform work for remote CNS users. Detailed record keeping of instrument activity, experimental results, maintenance, and repair logs, and authoring if standard operating procedures is expected.Basic Qualifications Bachelor’s degree in a scientific or engineering discipline and at least two years of relevant work experience; OR A minimum of seven years of relevant work experience or equivalent combination of education and experienceAdditional Qualifications and SkillsThe candidate should be self-motivated and able to work independently with a strong desire to acquire on-the-job training, to succeed, and to develop intellectual and practical professional skills.Excellent verbal and written skills required.Demonstrated ability to work well in teams and with graduate and undergraduate students is essential.The candidate must have significant experience in a variety of laboratory environments and be fully comfortable working in a lab environment on a wide variety of tools and projects. Expertise in microfluidic device design and fabrication.Expertise in aseptic techniques for cell culturing.Familiarity with rapid prototyping such as laser cutting and 3D printing.Familiarity with safe handling of nanoparticles.Familiarity with gas adsorption for surface area and porosity measurements, and chemisorption and dynamic adsorption studies for characterizing active surfaces.Familiarity with fluorescence plate readers, dynamic light scattering (DLS) measurements, zeta potential measurements, freeze dryers, ball mills, stylus profilers, optical microscopes.Physical RequirementsMust be able to work in an imaging facility, cleanroom, biological, chemical, and characterization laboratory environments.Will work around compressed gases, cryogens, ovens, acids, bases, oxidizers, solvents, vacuum pump oils, and other chemicals. Must be very dexterous; may be required to work on large and small assemblies.Ability to lift 50 lbs on occasion.Working ConditionsLaboratories (BL2, BL], cleanroom) and office setting.Additional InformationThis work is performed on campus in Cambridge and Allston, MAWork Format DetailsThis position is based primarily on-campus, in Massachusetts. This may include in-person during emergency situations (if applicable). Additional details will be discussed during the interview process. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.BenefitsWe invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include: Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers. Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date. Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more. Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service. Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions. Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more. Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.Job FunctionResearch Department Office LocationUSA - MA - Cambridge Job CodeR1057P Research Core Scientist III Work FormatOn-Site Sub-UnitSciences Salary Grade057DepartmentCenter for Nanoscale SystemsUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningEducation, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KO1 PI239056928

Location: Cambridge, MADescription: Responsibilities: Our client is hiring for senior and principal level electrical hardware design engineers with experience in design and development. In this position you will work closely with multi-disciplinary teams designing, developing, and verifying electronics for state-of-the-art sensors and actuators used in a wide array of applications. These projects are executed with a heavy emphasis on high performance, low size, weight, and power consumption. As a senior member in the Electronics Division, you will help shape hardware architectures and lead electronics development activities by applying sound engineering and project management principles. Required Qualifications:• BS degree in Electrical Engineering, Computer Engineering, or Physics and 7+ years of experience in the design and development of analog and mixed signal circuitry and systems, RF electronics, or high-speed digital electronics design. • Schematic capture and printed circuit board layout experience. • Ability to perform circuit simulation using Spice, Hyperlinx, Ansys, or variants. • System modeling and analysis experience using MATLAB, Simulink, or other comparable tools.Preferred Qualifications:• MS or PhD in Electrical Engineering, Computer Engineering, or Physics. • Expertise in one or more of the following areas: low-noise electronics, analog-digital conversion, methods of synchronous detection, analog and digital signal processing, phase-locked loops, motor control and drive circuits, high-speed digital electronics design, RF circuit design, design of 3D-packaged microelectronics • Experience with component selection and design of electronic hardware for space and/or hostile radiation environments. • Experience in design for harsh physical and electromagnetic environments as embodied in military standards such as MIL-STD-461, MIL-STD-810, etc. • Knowledge of system grounding/shielding and EMI mitigation techniques. • Experience working with discrete semiconductor devices, such as: MOSFETs, IGBTs, BJTs, JFETs, diodes, etc. Security Requirement: Clearance:• Active Secret Clearance or Higher Contact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com

Center 2 (19050), United States of America, McLean, VirginiaLead Machine Learning Engineer, Finance TechAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning (ML) applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. The EDML (Enterprise. Data. Machine Learning.) organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.As a member of EDML's Finance Tech Machine Learning team, you will support Capital One's finance and emerging business teams across the company. You will partner with internal customers to define and develop new features and capabilities utilizing Machine Learning and AI-enabled techniques to build solutions for financial transactions, reconciliations, data anomaly detection, automated regulatory solutions, forecasting cash flows, and more.We are seeking a passionate technologist who will not only help us build these systems from the ground up, but who can think creatively about the future, and help our team grow rapidly by interacting with stakeholders and creating business cases. We are seeking a leader who can influence at the executive level and coach junior engineers on the team. The Lead Engineer will be an individual technical contributor who has a solid AI/ML foundation, and will help our team accelerate our deliverables.What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.Retrain, maintain, and monitor models in production.Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.Construct optimized data pipelines to feed ML models.Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.Use programming languages like Python, Scala, or Java.Basic Qualifications:Bachelor's degreeAt least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)At least 4 years of experience programming with Python, Scala, or JavaAt least 2 years of experience building, scaling, and optimizing ML systemsPreferred Qualifications:Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field3+ years of experience building production-ready data pipelines that feed ML models3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow2+ years of experience developing performant, resilient, and maintainable code2+ years of experience with data gathering and preparation for ML models2+ years of people leader experience1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automationExperience with Generative AI models or toolsExperience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud PlatformExperience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performanceML industry impact through conference presentations, papers, blog posts, open source contributions, or patentsAt this time, Capital One will not sponsor a new applicant for employment authorization for this position.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).

A DC engineer is needed to work on-demand for one of our clients. The following duties should be able to be carried out by the engineer:Deployment / In-Scope Configuration Items Servers (Virtual & Physical) Storage & Backup Devices Server Appliances Hyper Converged Infrastructure (E.g. Nutanix, Cisco UCS) Tape Storage Units Power Distribution Units rated 3KVA and below SAN Fabric Switches Network Switches KVM Units WAN Optimization Devices Firewalls Access Points Routers Physical Cabling Cable Management Cables which connect the device to itself, a peripheral, or a power/network port Break-fix / Technical Tasks List Power Cycling Running Diagnostics Commands Conducting whole unit replacement Inserting/Removing Media Replacing Defective Components Assist with fault diagnosis and investigation Configuring Remote Access Basic Storage Array Configuration Replacing faulty cables Tape Management and Maintenance Rebooting routers, servers, storage devices or other equipment Providing loop-back cables in order to test circuits remotely Re-seating or replacing components or cables Cleaning fibers Identify/Analyze fiber issues by using OTDR/LSPM/VFL Installing loop backs Racking, de-racking, and upgrade of any device installed Operations Tasks List Updating and Recording of activities in relevant IT Ticket Management System Coordinating and agreeing attendance time and date with key stakeholders Provide support either through phone, remote tools, or in person at onsite Perform installation as needed either through physical or network medium Coordinate the actual activity date and timing, including arrival and departure times Carry all necessary tools, laptops etc. which might be needed to support issues in the infrastructure environment Labeling, Patching and Asset Tagging activities Following specific task instructions and providing necessary reporting as necessaryJob Requirements:Technical Skills Good general understanding of IT principles such as Networks, Hardware and Domains Knowledge of Infrastructure (Data Center and Network) hardware architecture as to understand the procedure shared by L3 teams during troubleshooting,H&E support Knowledge of server/client operations in a domain environment including Active Directory Understanding of current and legacy hardware Infrastructure platforms Hands-on experience in installation and troubleshooting Infrastructure (DC & Network) equipment's, Rack and Stack of the equipment/cable Good Hands-on Experience in IMAC and Break-fix activities related to Infrastructure environment Ability to identify Excellent the right defective spares and replace them with provided good spares as instructed and by physical observations Knowledge of TCP/I P standards and networking Experience with Tape Management activities Excellent knowledge of best practices around management, control, and monitoring of server infrastructure Familiarity with backup and recovery software and methodologies Language skills needed English Soft Skills Exceptional customer facing skills Able to communicate clearly and effectively both with Client and the Customer Logical and analytical approach to work Accurate record keeping Able to work unsupervised Good timekeeper Intense focus on quality work Productive and Efficient Academic Background Bachelor of Engineering / Technology / Science or Equivalent Work ExperienceOverall Experience (in yrs.) 5 - 7 years (min

Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Cybersecurity Product Management (Cloud/IAM)Capital One is seeking a technical security product leader to deliver game-changing identity and access security solutions based on threat, data, and design thinking. At Capital One, we believe in the values of Excellence and Doing the Right Thing. We are a technology-oriented company delivering financial products to market through modern technology and constant innovation at a massive scale. That innovation includes leveraging technology to deliver the best cybersecurity solutions for our internal and external customers. As a candidate for this role, you'll be able to navigate both executive-facing high-level strategic conversations and deep dives into controls and the inner workings of technology solutions. You'll have experience defining and driving execution of a strategic roadmap that relates security outcomes to value delivered for the business. You are naturally curious and stay on top of emerging trends and threats. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. You are a clear thinker, thrive in working across teams, and an expert in dealing with ambiguity. You believe that a core component of security's role is to enable the business, not just to secure it, and the solutions you bring to life are aligned to the needs of our engineering community and business partners. You thrive in working in a fast paced, technologically forward leaning environment and are not afraid to push the boundaries of security capabilities. What you'll do...Develop and communicate a risk-based and data-driven strategy and outcome-driven roadmaps for enterprise privileged access management services, solutions, and capabilities, in partnership with engineering and operations partners, customers, and other stakeholdersKeep abreast of advances in industry to address the threat landscapeAdvise executive decision makers based on business and technology risk grounded in threatMaintain technical and risk credibility with your own team and with partners across the enterpriseMaintain close ties to various stakeholders, developers, and engineers across the company, ensuring the services we create meet their needs as products evolveIterate quickly and see the products through to production and scaleEstablish product value propositions, metrics, and key indicatorsRecruit, motivate, mentor, and lead those around you to be their bestAbout You...You have strong consulting and analytical skillsYou have the ability to foster collaborative, open, working relationships with technology groups and other stakeholders, including vendor relationshipsYou have demonstrated clear communication skills and ability to interact effectively at all levels of an organization, and to influence senior management and executives (Including translating technical information based on specific audiences)You have experience managing multiple high-visibility and high-impact enterprise access management security projects with cross-functional teams while maintaining superior results including planning, development and management of technical requirements, design, testing and deployment of solutionsYou have a passion for cybersecurityYou have experience working with the public cloud (AWS) and knowledge of associated access security use cases and solutionsBasic Qualifications:High School Diploma, GED or equivalent certificationAt least 8 years of experience working in cybersecurity or information technologyAt least 5 years of experience translating cybersecurity strategy and analysis into product requirementsPreferred Qualifications:Bachelor's or an advanced degree in Computer Science or related discipline5+ years of people leadership experience3+ years in cloud security3+ years product management experienceExperience in regulated financial services organizationAWS Solution Architect certificationAt 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): $234,700 - $267,900 for Sr Manager, Cyber TechnicalSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr Manager, Cyber TechnicalCandidates 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).

Location: Cambridge, MASalary: $144,000.00 USD Annually - $185,000.00 USD AnnuallyDescription: Our client is currently seeking a Senior Antenna and Electromagnetic Design EngineerThe ideal candidate is expected to be a subject matter expert in the design and development of advanced antennas and RF systems for communications, navigation, and sensor applications.The candidate should have experience in the design of novel antennas including simulation, prototyping, and testing. Additionally, experience in the design of RF transceivers including waveform analysis, component selection, circuit design and troubleshooting is highly desired. This job will have the following responsibilities: Develop system architectures and conduct analysis, design, simulation, fabrication, integration, and testing for RF and EW systems.Analyze customer requirements and constraints.Lead design teams throughout the development cycle, including concept development and RF system design.Design complex communication and navigation systems and challenging electrically small antennas.Communicate progress with internal and external stakeholders and customers.Conceptualize and conduct of innovative R&D to grow company-wide technical capabilities. Qualifications & Requirements: Master's degree or PhD in Electrical Engineering, Applied Physics, or a closely related field with 7+ years of relevant experience. Bachelor's degrees and proven industry experience will be considered.An exceptional academic record or industry experience and demonstrated laboratory competence in electromagnetics and antenna design, analysis, simulation, testing and debugging. Strong background in EE fundamentals of electromagnetics, antenna theory, communication theory, software defined radio, circuit theory.Experience with some or all of the following tools: HFSS, CST, Microwave Office, ADS FEKO, COMSOL, MATLAB/Simulink, Python, Mentor Graphics (or equivalent PCB design tool).Strong analysis and problem-solving skills.Must be highly self-motivated and must thrive in a multidisciplinary team environment.Ability and willingness to support and lead business development, write proposals, white papers, and technical documents.Ability to deliver technical presentations to internal groups and external sponsors.Ability and interest in mentoring students and junior engineers.Ability to obtain a Security Clearance. Contact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com

Senior Cell Test EngineerMy client's mission is to enable a better, safer, more connected world through transformative polymer technology. Working with customers to create customized polymer solutions and advanced manufacturing processes to help transform their markets.QUALIFICATIONSPrior experience managing people (up to 2 individuals)Ability to understand and troubleshoot lithium-ion cell testing issues at the component levelKnowledge of data acquisition systemsROLES AND RESPONSIBILITIESSupport the development of relevant cell designs, sub-assemblies, and testing methodsneeded for proof-of-concept testing of polymer electrolyteSet up test fixtures and testing areas per project needsSupport root cause investigations and failure mode analysis to drive design and processchanges to improve cell technologyYou will need to be based in the USA to be considered for this position, have US citizenship, green card holder, or H1B transfer.I can also be contacted at [email protected], to provide full details, arrange an application, or answer any questions you might have.By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/)

The RoleModerna is expanding our team in Seattle to further our mission of delivering the greatest possible impact to people through mRNA medicines! Our new technology hub in Seattle focuses on software product development for our Commercial, Data & Machine Learning, Cloud Infrastructure, Security, and Engineering Excellence (dev tools) products and platforms. We are looking to hire a Software Development Engineers (SDEs) to develop their careers at Moderna, who bring strong technical expertise, a product mindset that embodies the unique Moderna Mindsets, and passion to change the future of medicine. In this role, you will work on exciting, cutting-edge technology initiatives/products from the ground up to empower our technology roadmap across the organization, with the ultimate goal of transforming patients' lives.Here's What We Do: We write code to create, improve and maintain new and existing frameworksWe familiarize ourselves with source code to understand areas of risk and complexity to provide optimal test coverageWe make key decisions for framework architectures and practicesWe develop an understanding of the business and customer value of the assigned softwareWe function with regular checkpoints including code reviews and daily standupWe deliver code successfully with clear instructions from our teammates and managerWe communicate effectively with our teammates about timelines to deliver our work efficiently and reliabilityWe successfully collaborate with team members using best-in-industry software engineering tools and processes such as source control and monitoring frameworksWe understand how to separate disparate components from each other and seek guidance from teammates or your manager when building software with more than one component We understand common tradeoffs among aspects of the code bar such as efficiency versus maintainability We follow an established procedure to diagnose and identify the root cause of problems with exiting softwareWe mentor junior engineersWe'll do all this while nurturing good work-life balance: we want to work together for a long timeHere's What You'll Need (Minimum Qualifications):Recent graduate (or Senior) in a Bachelor's program in Computer Science or a related technology or scientific field OR equivalent professional experience in lieu of a degreeEducational or job-related experience with full-stack web application development. Our stack is oriented around React + node and Angular, experience with this or willingness to learn is essential.Educational or job-related experience with Object Oriented Programming languages such as Java, Python, C++, or C.Educational or job-related experience documenting technical systems and user workflowsHere's What You'll Bring to the Table (Preferred Qualifications):Experience communicating with application users to understand and collect their requirements and requestsExperience working in life sciences, pharma/biotech, or high-tech industries with a preference for experience in one or more of eCommerce, data/machine learning platforms, or cloud infrastructureExperience in a regulated environmentA desire to make an impact as part of a high-growth, transformational company that is Bold, Relentless, Curious, and CollaborativeCollaboration. You enjoy collaborating with, learning from, and teaching others so we all can become better. You assume the good intent in others, and actively do your part to create a positive work environment.Self-Motivated. Doing good work is just a part of you.Customer Focused. You want to learn about customers, their needs and their scenarios and you find satisfaction in shipping quality products that delight customersExperience working with a modern cloud provider such as AWS or AzureModerna is pleased to provide you and your family with a comprehensive and innovative suite of benefits, including:Highly competitive and inclusive medical, dental and vision coverage optionsFlexible Spending Accounts for medical expenses and dependent care expensesLifestyle Spending Account funds to help you engage in personal enrichment and self-care activitiesFamily care benefits, including subsidized back-up care options and on-demand tutoringFree premium access to fitness, nutrition, and mindfulness classes Exclusive preferred pricing on Peloton fitness equipmentAdoption and family-planning benefitsDedicated care coordination support for our LGBTQ+ communityGenerous paid time off, including:• Vacation, sick time and holidays• Volunteer time to participate within your community• Discretionary year-end shutdown• Paid sabbatical after 5 years; every 3 years thereafterGenerous Paid Leave offerings, including 18 weeks of 100% paid parental leave for all new parents 401k match and Financial Planning toolsModerna-paid Life, LTD and STD insurance coverages, as well as voluntary benefit optionsComplimentary concierge service including home services research, travel booking, and entertainment requestsFree parking or subsidized commuter passesLocation-specific perks and extras! About ModernaSince our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute and make a meaningful impact.If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.Moderna is a smoke-free, alcohol-free and drug-free work environment.Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!Moderna is proud to be an equal opportunity workplace and is an affirmative action employer.Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is an E-Verify Employer in the United States. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.Belonging, Inclusion, and Diversity are critical to the success of our company and our impact on society. We're focused on attracting, retaining, developing, and advancing our employees and believe that by cultivating diverse experiences, backgrounds, and ideas, we can provide an environment where every employee is able to contribute their best.Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at [email protected]. (EEO/AAP Employer) #LI-HS1-

Harvard UniversityPosition Title: Digital Library Data EngineerReq ID: 65694BRSchool or Unit: Harvard University Information TechnologyDescription: Position DescriptionThis is a fully benefited, full-time Harvard University position that has been funded through 6/30/25. There is the possibility of renewal, contingent on funding, university priorities and satisfactory job performance. Harvard University Information Technology (HUIT) is a community of Information Technology professionals committed to delivering service and technological solutions in support of teaching, learning, research and administration. We are recruiting an IT workforce that has both breadth in their ability to collaborate and innovate across disciplines - and depth in specific areas of expertise. HUIT offers opportunities for IT professionals to learn and work in a unique technology landscape and service-focused environment. If you are a technically proficient, nimble, user-focused, and accountable IT professional who also connects with the importance of collaborating well in a team environment, we are looking for you!The Library Technology Services (LTS) team at Harvard University is seeking an inquisitive and motivated Data Engineer to join our exciting project to build the the university's next generation Digital Preservation System. This role will be responsible for the design, development, and maintenance of data APIs, extract/load/transform (ETL) activities, helping to manage data migration from existing data endpoints to the new systems and defining data integration services for our application portfolio.The Data Engineer will collaborate with cross-functional teams across all phases of Digital Preservation System project including requirements analysis, design, development, testing, deployment, and maintenance. Responsible for overall data management design and construction, ensuring optimization of data access, integration, and utilization. Manage interface and connectivity between multiple data storage sources using advanced database administration expertise.Typical Core Duties:Lead aspects of data management services which may include database and analytics platform research and design, database performance and optimization, recovery/load strategy and implementation, and data modeling Collaborate;to prepare data verification and testing methods for data/applications loaded into the warehouse, or other data repositories, to ensure compatibility across different sourceswith business partners to determine needs and evaluate solutions Code, develop, and document complex scripts integration mappings and workflows, and stored procedures Provide technical expertise and direction in developing and supporting system level programs Troubleshoot advanced data problems and recommend appropriate action Create new or enhanced components of data architecture and interfaces Provide training to clients and staff May function as subject matter expert or project lead Actively contribute to formulation of plans and policies Abide by and follow the Harvard University IT technical standards, policies and Code of ConductBasic Qualifications Minimum of five years' post-secondary education or relevant work experienceAdditional Qualifications and SkillsKnowledge of information technology applications, processes, software and equipment Advanced knowledge of ETL (Extraction, Transformation, and Loading), reporting and database technologies Advanced communication, technical and project management skills Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor. Ability to code in Python and/or Javascript/NodeJS Familiarity with Oracle, Postgresql and MySQL, strong database skills in one Ability to specify and/or build data bound API services Working Conditions Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferredWorking ConditionsWork is performed in an office setting.Additional InformationPlease provide a cover letter with your application.Please note:Harvard University requires pre-employment reference and background screening. We are unable to provide work authorization and/or visa sponsorship. This position has a 180-day orientation and review period. The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines.Accessibility:Harvard University welcomes individuals with disabilities to apply for positions and participate in its programs and activities. If you would like to request an accommodation or have questions about the physical access provided, please contact our University Disability Resources Department.About UsMore about HUIT:Harvard University Information Technology (HUIT) is responsible for the strategy, planning, and delivery of information technology across the University. Our mission is to assure Harvard's leadership in IT. We strive to make it easier for faculty, students, and staff to teach, research, learn and work through the effective use of information technology. HUIT's core values are User Focused, Collaborative, Innovative and Open.HUIT's core values are: User-focused Collaborative Innovative Open IT Academy (designed for IT Staff):HUIT's IT Academy aims to enable each IT staff person to grow professionally and become a trusted partner to her or his team. The IT Academy is built on the belief that every IT staff member across the University (including technology employees at each school and campus) can grow in her or his area of expertise as well as building strong people and project management skills. Learn more here: https://itacademy.harvard.edu/BenefitsWe invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include: Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers. Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date. Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more. Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service. Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions. Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more. Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.LinkedIn Recruiter Tag (for internal use only)#LI-CB1Department Office Location: USA - MA - CambridgeJob Code: I1358P IT Data Architect Prof IVJob Function: Information TechnologyWork Format: Hybrid (partially on-site, partially remote)Sub Unit: ------------Salary Grade: 058Department: Library Technology ServicesUnion: 00 - Non Union, Exempt or TemporaryTime Status: Full-timePre-Employment Screening: IdentityCommitment to Equity Diversity Inclusion and Belonging: Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EOE Statement: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.PI240057848