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Storage Engineer Salary in Massachusetts, USA

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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).
DevOps Engineer
The Judge Group Inc., Boston
Location: REMOTESalary: $75.00 USD Hourly - $80.00 USD HourlyDescription: Our client is currently seeking a DevOps Engineer on W2 ContractJob Description: Our client is looking for an experienced DevOps Engineer who is comfortable with automating and maintaining cloud infrastructures as it relates to D365 F&O. Our mission is to architect redundant, resilient, scalable, self-sustaining, and self-healing infrastructure. We utilize variety of tools for infrastructure scaling and automation with the close supervision of our DevOps specialists and their organizational discipline. The ideal candidate will have superb troubleshooting skills, passion for automating everything, and a sense of ownership.Qualifications: Azure DevOps (required) Knowledge of CI/CD, Unit/UI Testing Mastering CI\CD concepts and hands on implementations experiences, specifically GIT Configuration Management experience such as Ansible, Chef, Puppet, or similar AZ-400 certification Dynamics 365 (good to have) Dynamics 365 Development - Configuration, Plug-in, Workflows, JavaScript, C#, HTML .NET areas / Web Applications, REST API SSIS and related data migration techniques and strategiesMust have Skills: Github Action CI/CD, Jfrog Artifactory, Terraform, Docker, Kubernetes, Rancher, Dynatrace, Datadog, Azure Cloud ExperienceGood to Have Skills: Databricks/Unity Catalog, SQL DB, ADLS/Storage account, Datafactory, Networking/API Management Contact: [email protected] job and many more are available through The Judge Group. Find us on the web at www.judge.com
Senior Engineer, System Planning (Hybrid)
Eversource Energy, Hadley, Massachusetts, United States
As a member of the Integrated Energy Planning Team, the Senior Engineer Integrated Energy Planning will work on targeted electrification and non\-pipeline alternative studies\. The Senior Engineer will perform as project leader and/or carries out assignments requiring mastery of subject matter, with extensive experience associated with modeling and planning distribution lines and distribution substation facilities in an electric power system\. Exhibits strong technical skills on the design of the electric power system\. Exhibits advance knowledge of utility electric power system data and model maintenance\. The Senior Engineer Integrated Energy Planning will contribute in a significant way to the development of new processes, documentation, and reports, as well as gaining a detailed knowledge of gas planning\. Together with the Company’s SMEs for Forecasting and Modeling, the Integrated Planning team will work on developing software capabilities to address the integrated planning challenges, as well as data analytics\. **Essential Functions:** + Developed detailed distribution planning studies for the targeted electrification pilots as well as the Non\-Pipeline Alternatives \(NPA\) as well as developing documentation for securing budget authorization for Transmission, Distribution and Gas infrastructure upgrades necessary to facilitate customer electrification in lieu of current gas infrastructure and associated upgrades\.+ Supports the development of an integrated energy planning process and standard\.+ Conducts integrated energy planning and non\-pipeline alternative studies and identifies Distribution System problems involving multiple feeders and substations, leads and conducts scenario\-based planning studies, evaluates alternatives, and recommends appropriate solutions to ensure a reliable distribution system\. - Prepare contingency studies for distribution networks including N\-1 and N\-2 analysis\.- Propose new distribution substation and associated OH and UG feeders\.+ Partners with other departments \(Distribution Engineering, Asset Management, Standards, Transmission/Substation engineering, etc\.\) to prepare economic analysis for Integrated Energy Planning projects\.+ Closely coordinates with distribution system planning on the medium \(2\-5 year\) and long \(5\+ year\) range distribution plans\.+ Supports the community relations and regulatory affairs teams for clear communications on the Company’s electrification pilots and NPA process\.+ Engages with Energy Efficiency, Modelling, and Advanced Forecasting on customer electrified loads\.+ Collaborate with multiple cross\-functional groups in developing multi\-year targeted electrification projects\.+ Manages backlog and priorities to ensure an on\-time delivery of objectives\.+ Coordinates with stakeholders on timelines and priorities of work\.+ Uses an agile approach to workload management for the associate engineers\.+ Delivers regular status reports\.+ Supports any related documentation and/or testimony to support regulatory filings\.+ Presents recommendations and/or results to all levels of management as appropriate\.+ Represents the department and the company on various committees\. **Technical Knowledge/Skill/Education/Licenses/Certifications:** _Technical Knowledge/Skill:_ + Working knowledge of electric simulation software models and power distribution systems analysis, including load\-flow, transient, and 8760\-hours simulation+ Knowledge of new technologies including but not limited to photovoltaic solar, electric vehicles, and battery storage\.+ Knowledge of the techniques for planning the expansion of distribution lines and distribution substation facilities\.+ Advanced knowledge of electrical theory as applied to planning an electric power supply system\.+ Advanced knowledge of distribution line design and operating practices\.+ Knowledge of National, State and other planning standards\.+ Good written and oral communication skills, including formal presentation\.+ Excellent team skills\.+ Effective interpersonal skills, ability to develop strategic partnerships\.+ Ability to achieve desired results by setting high standards for self and others, and accepts responsibility for outcomes\.+ Familiarity with non\-pipeline alternatives \(NPA\) desirable\.+ Basic understanding of gas planning processes advantageous\.+ Basic coding knowledge preferrable \(Python, Matlab\) _Education:_ + Baccalaureate degree in Electrical Engineering required, Electric Power Systems preferred+ Advanced degree preferred _Experience_ : + Minimum of five \(5\) years related experience in planning, design, and operations related to distribution line and distribution substation facilities, with a thorough knowledge of power system planning\. **Working Conditions:** + Must be available to work emergency restoration assignment as required\.+ Must be available to travel between MA/CT/NH as necessary\. **Worker Type:** Regular **Number of Openings:** 2 **EEO Statement** Eversource Energy is an Equal Opportunity and Affirmative Action Employer\. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, sexual orientation, gender identity, national origin, religion, disability status, or protected veteran status\. VEVRRA Federal Contractor **Emergency Response:** Responding to emergency situations to meet customers’ needs is part of every employee’s role\. If employed, you will be given an Emergency Restoration assignment\. This means you may be called to assist during an emergency outside of your normal responsibilities, work hours and location\.
Mechanical Engineer, Robotics Storage Tech, Robotics Storage Technology
Amazon, Westborough, MA, US
DESCRIPTIONAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.Key job responsibilitiesJob Overview – As an Amazon Robotics mechanical engineer, you will develop innovative system architectures and hardware designs for our robotic systems. The ideal candidate has experience designing and analyzing mechanical systems, enjoys analytical problem solving and possesses practical knowledge of high volume manufacturing methods; such as, stamping, extrusion, casting, and injection molding. This position reports directly to the Mechanical Engineering Manager. The Mechanical Engineer will be responsible for:- Working with an interdisciplinary team to execute product designs from concept to production including specification, design, prototyping, validation and testing- Working with the Operations, Manufacturing, Supply Chain and Quality organizations as well as vendors to ensure a smooth product launch- Writing functional specifications, design verification plans, and functional test procedures- Exhibit role model behaviors of thorough engineering analysis and cradle to grave ownership- Design and adaptation of holistic hardware solutions for ambiguous problems with fluid requirements.We are open to hiring candidates to work out of one of the following locations:Westborough, MA, USABASIC QUALIFICATIONS- 4+ years of working in mechanical engineering or equivalent experience- Experience with prototyping and implementationPREFERRED QUALIFICATIONS- Knowledge of SolidWorks simulation or Ansys Finite Element analysis tools- Experience in the design of complex mechanical products and equipment at volumeAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.