Senior Mechanical Engineer jobs at Amazon

Description:THE WORK The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. WHO WE ARE At Lockheed Martin, we're a pioneering aerospace and defense company that's been at the forefront of innovation for decades. With a long-standing history of pushing boundaries, we're now shaping the future of cyber and intelligence. Our team is committed to innovating at the Edge, where we harness the latest advancements in Artificial Intelligence and Machine Learning, and cyber technologies to stay ahead of emerging threats and opportunities WHO YOU ARE At Lockheed Martin, you will work with our team of skilled AI/ML Engineers design, create, test, and productize AI/ML algorithms that learn, predict, and make informed Expert knowledge of multiple programming languages (i.e. Python, Java, C++decisions, meeting the evolving needs of our customers. With strong familiarity with Hadoop, we develop and deploy scalable AI/ML models that integrate with data pipelines, infrastructure, and applications. WHY JOIN US Providing ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals. Competitive and comprehensive benefits package. Rewards and recognition for your hard work. Medical and dental coverage. 401k retirement savings plan. Paid time off for work/life balance. And more Basic Qualifications: A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required. Plus 10 years experience deploying machine learning algorithms is required. Or Bachelor's degree may be substituted for a Master's degree. Plus 17 additional years experience deploying machine learning algorithms. Demonstrated abilities in software engineering and AI/ML model test and evaluation. TS/SCI w/poly Desired Skills: Expert knowledge of multiple programming languages (i.e. Python, Java, C++) is a plus. Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

Description:Who We Are: Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. #RMSC6ISR Basic Qualifications: • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority. • Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First

MANTECH seeks a motivated, career and customer oriented Cloud Operations Engineer to join our team in Virginia Beach, VA. This is a hybrid position with 1-2 days onsite and 2-3 days remote. As an Operations Engineer, you will have the opportunity to grow your knowledge and skills as a member of the Cloud Operations Team for a NAVSEA cloud infrastructure program. The Cloud Ops team includes technical, security and programmatic related requirements as well as providing ongoing support to the engineering and cyber teams. You will collaborate with a skilled team of peers in support of the cloud operations of the platform. This position offers a great opportunity for growth and experience in cloud engineering, cloud security, cyber and service management. Responsibilities include but are not limited to: Maintain and troubleshoot AWS and Azure compute assets, including Red Hat Enterprise Linux and Windows Server instances Monitor systems and support cyber defense activities, identifying and responding to security threats and incidents Assist with disaster recovery planning, training, and exercises to ensure system resilience Provide platform help desk support, managing open issues, new requests, and operational requirements under the Operations Lead's direction Develop and maintain program documentation and Standard Operating Procedures (SOPs) within the online knowledgebase Propose and help implement new tools and techniques to improve cloud operations and efficiency Support the evaluation of emerging DoD, DoN, and commercial technologies for potential integration into program environments Travel up to 25% Minimum Qualifications: Associate's degree in Computer Science, Information Technology, Engineering, or related technical area 2+ years of relevant experience, including at least 1 year in engineering, cybersecurity, or operations, and 1 year working with cloud systems deployed at multiple Impact Levels (IL2, IL4, IL6) within DoD-approved Cloud Service Providers such as AWS or Azure An active CompTIA Security+ certification or a higher-level DoD-approved security certification is required Must obtain the AWS Certified Cloud Practitioner certification or any AWS Associate- or Professional-level certification within 3 months of hire Preferred Qualifications: Bachelor's degree 2+ years cloud experience in engineering or operations Familiarity with Infrastructure as Code (IaC) based architecture Familiarity with Git, GitHub, and Markdown AWS Certified Cloud Practitioner and/or any AWS associate or professional level certification Clearance Requirements: Must have an active Secret security clearance. Physical Requirements: Prolonged periods of sitting or remaining in a stationary position. Ability to move throughout the office and operate standard office equipment as needed. Regularly required to communicate with coworkers, management, and customers, including delivering presentations and sharing information accurately and clearly. Must be able to interact and communicate professionally with ManTech employees, clients, and stakeholders.

Immediate need for a talented Senior Advanced Mechanical Engineer. This is a 06 months contract opportunity with long-term potential and is located in Phoenix, AZ (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93875 Pay Range: $65 - $68.36/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Imagine, design and develop products and systems as part of a highly engaged and integrated engineering team. You will collaborate across Client Aerospace engineering teams to create solutions and systems that meet the evolving needs of our customers. You will participate in all phases of product development. Refine your engineering talents in a team-based culture by working with innovative products and technologies. Collaborate in world-class project teams to establish effective solutions to complex engineering problems. Improve the world by working on teams that develop modern solutions to complex problems. Key Requirements and Technology Experience: Bachelor's Degree in Mechanical or Aerospace Engineering 6 years of mechanical design and engineering experience with NX and Teamcenter Experience in engine or APU design Proven application of ASME Y14.5 drawing standards including geometric dimensioning and tolerancing (GD&T), both in generating drawings and checking drawings generated by others Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Essential Duties and Functions: • Perform engineering calculations and apply engineering principles to assist in the successful design, creation, and delivery of all mechanical AutoCAD and Revit drawings for each client project • Write, edit, and produce the accompanying specifications for each client project • Review and approve shop drawings, RFIs, submittals, addendums, and other construction documents as assigned for mechanical-related items • Conduct field work and complete field reports on mechanical-related items to verify design as assigned • Knowledge of Uniform Mechanical and International Mechanical Codes • Working knowledge of LTY design standards and processes • Working knowledge of heating, ventilation, and air conditioning systems (HVAC) • Beginning knowledge of LTY mission and vision; business leadership roles • Adaptable and open to learning new technologies and methodologies to stay in the forefront of mechanical engineering advancements • Participate in client meetings as necessary and/or as assigned by supervisor • Participate in career development training as assigned by supervisor or Human Resources Required Skills and Knowledge • B.S. degree in Mechanical Engineering or related field • Successful completion of the Fundamentals of Engineering (F.E.) examination • Certified by the State of Texas as an Engineer-in-Training (EIT) •Exceptional attention to detail • Ability to manage multiple projects under strict deadlines • Ability to work well on a team • Exceptional written and verbal skills Preferred Skills and Knowledge: • Knowledge of and experience with AutoCAD, Revit, Bluebeam, and Microsoft Office Suite • Knowledge of building codes • Previous experience in a MEP consulting environment • Previous experience designing MEP systems for schools • Experience in the design of HVAC systems, temperature controls, central plant design, and indoor air quality, as well as other mechanical systems for commercial buildings

Role: Staff Machine Learning Engineer Duration: Long-term Mode of Interview: Virtual & Final In-person Why this role exists We're building privacy‐preserving LLM capabilities that help hardware design teams reason over Verilog/SystemVerilog and RTL artifacts-code generation, refactoring, lint explanation, constraint translation, and spec‐to‐RTL assistance. We're looking for a Staff‐level engineer to technically lead a small, high‐leverage team that fine‐tunes and productizes LLMs for these workflows in a strict enterprise data‐privacy environment. You don't need to be a Verilog/RTL expert to start; curiosity, drive, and deep LLM craftsmanship matter most. Any HDL/EDA fluency is a strong plus. What you'll do (Responsibilities) • Own the technical roadmap for Verilog/RTL‐focused LLM capabilities-from model selection and adaptation to evaluation, deployment, and continuous improvement. • Lead a hands‐on team of applied scientists/engineers: set direction, unblock technically, review designs/code, and raise the bar on experimentation velocity and reliability. • Fine‐tune and customize models using state‐of‐the‐art techniques (LoRA/QLoRA, PEFT, instruction tuning, preference optimization/RLAIF) with robust HDL‐specific evals: o Compile‐/lint‐/simulate‐based pass rates, pass@k for code generation, constrained decoding to enforce syntax, and "does‐it‐synthesize” checks. • Design privacy‐first ML pipelines on AWS: o Training/customization and hosting using Amazon Bedrock (including Anthropic models) where appropriate; SageMaker (or EKS + KServe/Triton/DJL) for bespoke training needs. o Artifacts in S3 with KMS CMKs; isolated VPC subnets & PrivateLink (including Bedrock VPC endpoints), IAM least‐privilege, CloudTrail auditing, and Secrets Manager for credentials. o Enforce encryption in transit/at rest, data minimization, no public egress for customer/RTL corpora. • Stand up dependable model serving: Bedrock model invocation where it fits, and/or low‐latency self‐hosted inference (vLLM/TensorRT‐LLM), autoscaling, and canary/blue‐green rollouts. • Build an evaluation culture: automatic regression suites that run HDL compilers/simulators, measure behavioral fidelity, and detect hallucinations/constraint violations; model cards and experiment tracking (MLflow/Weights & Biases). • Partner deeply with hardware design, CAD/EDA, Security, and Legal to source/prepare datasets (anonymization, redaction, licensing), define acceptance gates, and meet compliance requirements. • Drive productization: integrate LLMs with internal developer tools (IDEs/plug‐ins, code review bots, CI), retrieval (RAG) over internal HDL repos/specs, and safe tool‐use/function‐calling. • Mentor & uplevel: coach ICs on LLM best practices, reproducible training, critical paper reading, and building secure‐by‐default systems. What you'll bring (Minimum qualifications) • 10+ years total engineering experience with 5+ years in ML/AI or large‐scale distributed systems; 3+ years working directly with transformers/LLMs. • Proven track record shipping LLM‐powered features in production and leading ambiguous, cross‐functional initiatives at Staff level. • Deep hands‐on skill with PyTorch, Hugging Face Transformers/PEFT/TRL, distributed training (DeepSpeed/FSDP), quantization‐aware fine‐tuning (LoRA/QLoRA), and constrained/grammar‐guided decoding. • AWS expertise to design and defend secure enterprise deployments, including: o Amazon Bedrock (model selection, Anthropic model usage, model customization, Guardrails, Knowledge Bases, Bedrock runtime APIs, VPC endpoints) o SageMaker (Training, Inference, Pipelines), S3, EC2/EKS/ECR, VPC/Subnets/Security Groups, IAM, KMS, PrivateLink, CloudWatch/CloudTrail, Step Functions, Batch, Secrets Manager. • Strong software engineering fundamentals: testing, CI/CD, observability, performance tuning; Python a must (bonus for Go/Java/C++). • Demonstrated ability to set technical vision and influence across teams; excellent written and verbal communication for execs and engineers. Nice to have (Preferred qualifications) • Familiarity with Verilog/SystemVerilog/RTL workflows: lint, synthesis, timing closure, simulation, formal, test benches, and EDA tools (Synopsys/Cadence/Mentor). • Experience integrating static analysis/AST‐aware tokenization for code models or grammar‐constrained decoding. • RAG at scale over code/specs (vector stores, chunking strategies), tool‐use/function‐calling for code transformation. • Inference optimization: TensorRT‐LLM, KV‐cache optimization, speculative decoding; throughput/latency trade‐offs at batch and token levels. • Model governance/safety in the enterprise: model cards, red‐teaming, secure eval data handling; exposure to SOC2/ISO 27001/NIST frameworks. • Data anonymization, DLP scanning, and code de‐identification to protect IP. What success looks like 90 days • Baseline an HDL‐aware eval harness that compiles/simulates; establish secure AWS training & serving environments (VPC‐only, KMS‐backed, no public egress). • Ship an initial fine‐tuned/customized model with measurable gains vs. base (e.g., +X% compile‐pass rate, −Y% lint findings per K LOC generated). 180 days • Expand customization/training coverage (Bedrock for managed FMs including Anthropic; SageMaker/EKS for bespoke/open models). • Add constrained decoding + retrieval over internal design specs; productionize inference with SLOs (p95 latency, availability) and audited rollout to pilot hardware teams. 12 months • Demonstrably reduce review/iteration cycles for RTL tasks with clear metrics (defect reduction, time‐to‐lint‐clean, % auto‐fix suggestions accepted), and a stable MLOps path for continuous improvement. How we work (Security & privacy by design) • Customer and internal design data remain within private AWS VPCs; access via IAM roles and audited by CloudTrail; all artifacts encrypted with KMS. • No public internet calls for sensitive workloads; Bedrock access via VPC interface endpoints/PrivateLink with endpoint policies; SageMaker and/or EKS run in private subnets. • Data pipelines enforce minimization, tagging, retention windows, and reproducibility; DLP scanning and redaction are first‐class steps. • We produce model cards, data lineage, and evaluation artifacts for every release. Tech you'll touch • Modeling: PyTorch, HF Transformers/PEFT/TRL, DeepSpeed/FSDP, vLLM, TensorRT‐LLM • AWS & MLOps: Amazon Bedrock (Anthropic and other FMs, Guardrails, Knowledge Bases, Runtime APIs), SageMaker (Training/Inference/Pipelines), MLflow/W&B, ECR, EKS/KServe/Triton, Step Functions • Platform/Security: S3 + KMS, IAM, VPC/PrivateLink (incl. Bedrock), CloudWatch/CloudTrail, Secrets Manager • Tooling (nice to have): HDL toolchains for compile/simulate/lint, vector stores (pgvector/OpenSearch), GitHub/GitLab CI

Job Title: Mechanical Design Engineer Type: Full-Time permanent role with Capgemini About the job you're considering We are seeking an experienced Mechanical Engineer to join our team developing automated mobile heavy equipment that removes humans from the dull, dirty, and dangerous jobs. In this role, you will take ownership of complex mechanical designs, lead cross-functional efforts, and drive the development of safe and reliable automation systems. Your role Own the end-to-end design of major subsystems and ensure successful integration into full systems. Lead cross-functional design reviews, making trade-off decisions between mechanical, electrical, and software requirements. Drive validation at the system level, ensuring performance, reliability, and safety standards are met. Guide design standards, best practices, and process improvements for the mechanical engineering function. Collaborate directly with customers, product management, and suppliers on high-impact initiatives. Mentor and develop junior and mid-level engineers, fostering a culture of technical excellence. Your skills and experience Bachelor's or master's in mechanical engineering (Master's preferred). Deep expertise in CAD software (On shape, SolidWorks, Creo, or similar), including advanced assemblies and design-for-manufacturing practices. Advanced experience in mechanical design and system integration, ideally in automation, robotics, or heavy equipment. Strong record of delivering complex systems from concept to production. Strong understanding of pneumatic and hydraulic systems Deep understanding of Stress/strain (FEA) and vibration analysis is preferred Demonstrated expertise in design-for-manufacturing, prototyping, and testing at scale. Proven ability to influence technical direction and manage competing requirements across disciplines. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: · Flexible work · Healthcare including dental, vision, mental health, and well-being programs. · Financial well-being programs such as 401(k) and Employee Share Ownership Plan · Paid time off and paid holidays. · Paid parental leave. · Family building benefits like adoption assistance, surrogacy, and cryopreservation · Social well-being benefits like subsidized back-up child/elder care and tutoring. · Mentoring, coaching, and learning programs · Employee Resource Groups · Disaster Relief About Capgemini Engineering World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defence, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Get the Future You Want | ***************** Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Senior R&D Engineer (SolidWorks) Contract Visa: USC /Green Card- W2 role Mandatory: Medical Device experience, SolidWorks, change management (any PLM) is MUST JD: 1.Good in SolidWorks (1 to 2 years) 2.Windchill Change management experience 3.Medical Device Product development 4.Validation & Verification (V&V) 5. Good in communication and interpersonal skills Ritesh Rawat Raas infotek corporation 262 Chapman road, Suite 105A, Newark, DE-19702 Phone: ************ Ext: 142, Email: **************************** Website: raasinfotek.com

Programmers.io is currently looking for a Product Engineer Onsite Role in McLean, Virginia, United States OPEN FOR C2C OR W2 Prompt Design Optimization Develop, test, and refine prompts for AI models to achieve accurate, context-aware outputs. Create reusable prompt libraries and guardrails for enterprise use cases. Salesforce AI Integration Leverage Salesforce Einstein and Agent force for predictive analytics, conversational AI, and automation. Collaborate with Salesforce architects to embed AI-driven workflows into CRM processes.AI Enablement Governance Define best practices for prompt engineering across teams. Ensure compliance with enterprise security, data privacy, and ethical AI guidelines. Managerial Responsibilities Lead and mentor team members, fostering collaboration and continuous learning. Manage stakeholder relationships and ensure timely delivery of AI initiatives. Oversee project planning, budgeting, and governance for AI-related programs. Cross-functional Collaboration Work closely with developers, architects, and business stakeholders to translate requirements into AI solutions. Conduct workshops and training sessions on effective prompt engineering. If you are interested, please apply or feel free to share your updated resume at ************************

Note: Looking for USC / GC We are seeking an experienced PCB Design Engineer to support the development, qualification, and test engineering of electromechanical medical device components. This role involves hands-on PCB design, board bring-up, supplier collaboration, design transfer, and manufacturing test readiness in a regulated environment. Key Responsibilities PCB Design & Hardware Development Design and develop PCBAs for electromechanical components including switch assemblies and cable assemblies. Perform schematic design, BOM creation, and updates for PCBAs. Support board bring-up, debugging, and board revisions. Conduct design reviews, DFMEA, DFM, and implement design improvements. Develop low-level embedded drivers for on-board peripherals and motor control. Supplier Collaboration & Qualification Work closely with suppliers to meet cost, quality, and performance targets. Lead and monitor component qualification activities with suppliers. Communicate design requirements and process capability expectations effectively. Act as a technical liaison between suppliers and internal design teams. Manufacturing & Process Engineering Apply Measurement System Analysis (MSA) and establish calibration requirements. Conduct Design of Experiments (DOE), process stability, control, and capability studies. Support process characterization, manufacturing readiness, and equipment development. Lead design transfer from development to manufacturing. Testing & Validation (Test Engineering Scope) Write and execute module-level test plans. Develop engineering studies for board-level and device-level testing. Create test specifications for ICT (In-Circuit Test) and FCT (Functional Circuit Test). Review and approve hardware and fixture designs for functional testers. Support ICT/FCT qualification and deployment at manufacturing plants. Troubleshoot test issues and resolve technical roadblocks during deployment. Required Skills & Qualifications Strong experience in PCB design and board bring-up. Hands-on knowledge of DFMEA, DFM, DOE, MSA, and process capability methods. Experience working with ICT/FCT test development and qualification. Familiarity with embedded systems and low-level driver development. Strong supplier management and cross-functional communication skills. Experience in regulated industries (medical devices preferred). Nice to Have Experience with motor control systems Prior exposure to Johnson & Johnson or medical device standards International supplier collaboration experience

Idexcel is seeking a Senior Engineer to join our Enterprise GenAI Engineering Organization and be a key part of the Enterprise GenAI tech team. As a GenAI engineer, you will lead the development cutting-edge generative artificial intelligence solutions using large language models, agentic frameworks, retrieval augmented generation and other innovative technologies. The ideal candidate will have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on prompt engineering, RAG implementations, evaluations and agentic frameworks. In this role, you will: · Design, develop, deploy GenAI applications using LM's, agent framework and related technologies · Collaborate with and/or embed with line of business team teams to create reusable components and frameworks to accelerate the delivery of GenAI solutions · Develop and maintain large-scale applications using Java, Python and other relevant technologies (e.g., cloud technologies, containerization, etc) · Develop reference services that can be leveraged enterprise-wide such as document parsing, synthetic data generation, summarization and deep research · Stay up to date with the latest advancements in GenAI, LLM, agentic frameworks and drive innovation to improve existing systems and develop new ones · Troubleshoot and resolve complex technical issues related to applications?and models · Develop GenAI observability solutions to ensure systems are monitored to increase operational efficiency and managed to mitigate risk · Resolve coding, testing and escalated platform issues of a technically challenging nature · Collaborate with the team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives · Collaborate and influence all levels of professionals including managers Required Qualifications: · 4+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education · 4+ years of experience in software development · 4+ years of Java, Python and other relevant technologies · 1+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: · 1+ year of GenAI and ML concepts, including Evaluations, Fine Tuning and Prompt engineering · Knowledge agentic design patterns · Prompt Engineering concepts such as Zero-Shot, Few-shot, self-consistency and chain of thought prompting

Demonstrated expertise and a strong foundational background in Artificial Intelligence (AI) and Machine Learning (ML), including proficiency with current industry trends and methodologies. Proven track record of successfully delivering AI/ML projects from inception to deployment; prior experience within the financial sector is highly desirable. Solid programming skills, particularly in Python, including scripting, development, and data manipulation.

Immediate need for a talented Cloud Security Principal Engineer. This is a 04+months contract opportunity with long-term potential and is located in Philadelphia, PA (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:25-94450 Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key Skills;Azure Cloud,cloud security, DevSecOps . 12+ years of industry experience in IT/security. Strong expertise in Azure Cloud architecture and security. Deep hands-on experience in cloud security, DevSecOps, and cloud migration. Experience with security scanning tools, vulnerability scanners, SAST/DAST. Strong knowledge of NIST 800-53 and enterprise security compliance. Experience in managing critical vulnerability remediation. Proven history of working in large-scale enterprise migration projects. Strong leadership and communication skills. CISSP (Priority / Highly Preferred) Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Role: Gen AI/ML Engineer Mode of Work: 3 days per week onsite required Required experience: 10+ Years Key Responsibilities: Assist in designing, developing, and training machine learning models. Implement ML pipelines and support model evaluation, optimization, and deployment. Work with data preprocessing tools to clean, transform, and prepare datasets. Collaborate with senior engineers and cross-functional teams to implement ML solutions. Document model behavior, experiments, and results. Support research activities by exploring new techniques, tools, and frameworks. Mandatory Skills: Proficiency in Python. Working knowledge of TensorFlow or PyTorch. Strong understanding of machine learning algorithms and concepts. Preferred Skills: Exposure to data preprocessing tools like Pandas and NumPy. Basic understanding of cloud AI services (AWS, Azure, or GCP).

BC forward is currently seeking a highly motivated Manufacturing Engineer for an opportunity at - Milwaukee, WI and Fort Collins, CO Location ! Manufacturing Engineer Anticipated Start Date: 01/05/2026 Please note this is the target date and it is subject to change. BCforward will send official notice ahead of a confirmed start date. Expected Duration: Full Time Job Type: Full Time - Direct Hire Salary Range: $75,000 - $95,000 Please note that actual compensation may vary within this range due to factors such as location, experience, and job responsibilities, and does not encompass additional non-standard compensation (e.g., benefits, paid time off, per diem, etc.). Key responsibilities: Position Overview: Client is a leader in power distribution, power conditioning, load bank, renewable energy equipment and related services at the heart of supporting our electrical infrastructure. Our team members focus on producing the highest quality products in the industry and providing industry-leading service. Based in our state-of-the-art headquarters in Faribault, MN, safety and integrity are our guiding principles, and we work together to achieve excellence for our customers every day. As a Manufacturing Engineer, you will play a vital role in driving the efficiency, quality, and productivity of our manufacturing processes. You will be responsible for designing, implementing, and improving manufacturing methods, equipment, and systems. Collaborating with cross-functional teams, including production, engineering, and quality assurance, you will contribute to the successful production of high-quality Client products for our customers. This position requires a strong technical background, problem-solving skills, and the ability to optimize manufacturing operations. We are looking for people who believe in our guiding principles and values of: Safety - We believe everyone should leave Client facilities in the same or better condition than when they arrived. Integrity - We're honest, transparent, and committed to doing what's right. Customer focus - We have relentless focus on our customers and their success. Right with speed - We use good judgement, make thoughtful decisions quickly, and execute them with purpose and intensity. Play for each other - We're a team. We show up for each other and we know that through teamwork we achieve greatness. Champion change - We know adaptation and improvement are requirements to survive and to thrive. Enjoy the journey - We create an environment where our team feels appreciated and has fun along the way. In this role you will get to: Demonstrate Client's guiding principles and values. Design and develop manufacturing processes for electrical and metal fabrication equipment, ensuring efficient production flow, adherence to quality standards, and optimization of resources. Identify, evaluate, and select appropriate machinery, tools, and equipment for manufacturing processes. Optimize equipment performance, maintenance, and troubleshooting to minimize downtime and maximize productivity. Continuously improve manufacturing processes by implementing Lean Manufacturing, Six Sigma, or other improvement methodologies. Drive continuous improvement initiatives using Lean Manufacturing, Six Sigma, or other methodologies. Identify and implement process enhancements, reduce waste, and optimize operations to increase productivity and quality. Develop and maintain comprehensive work instructions, procedures, and documentation for manufacturing processes. Standardize operations to ensure consistency, safety, and quality. Collaborate with the engineering team during the NPI phase to ensure the manufacturability and scalability of new electrical and metal fabrication equipment designs. Provide input on design for manufacturability and assembly (DFMA). Collaborate with the quality team to develop and implement quality control plans, inspection methods, and testing protocols. Investigate and resolve manufacturing-related quality issues, implementing corrective and preventive actions as necessary. Provide technical support and troubleshooting assistance to the production team during the manufacturing process. Resolve production issues, implement process changes, and ensure adherence to production schedules and targets. Conduct cost analysis and cost reduction initiatives to improve manufacturing efficiency while maintaining product quality and compliance with safety regulations. Collaborate with cross-functional teams, including production, engineering, procurement, and supply chain, to ensure seamless integration and alignment of manufacturing processes. Communicate effectively to convey technical information, provide updates, and address concerns. Ensure compliance with health and safety regulations and promote a culture of safety in the manufacturing environment. Identify and mitigate potential hazards and risks. Job Requirements: · A passion for the Client, its culture, and its strategic vision. · Bachelor's degree in electrical engineering, mechanical engineering, manufacturing engineering, or a related field. · 3-5 years' experience in manufacturing engineering, with focus on metal fabrication, electro-mechanical and/or electronic assembly with solid knowledge of manufacturing processes, electrical systems, metal fabrication techniques and electrical mechanical assembly. · Ability to support production associates and work on those lines to drive hands-on improvement. · Experience with Lean Manufacturing, Six Sigma, or other process improvement methodologies. · Strong problem-solving/analytical skills with the ability to analyze data, identify root causes, and implement effective solutions. · Familiarity with quality control processes/tools (e.g., process control, failure mode and effects analysis). · Excellent communication and interpersonal skills to collaborate with cross-functional teams and stakeholders at all levels. · Project management skills with ability to manage multiple tasks, prioritize effectively, and meet deadlines. · Knowledge of safety regulations and practices in a manufacturing environment. Ability to adapt in a fast-paced, high growth, rapid changing manufacturing environment Benefits: BC forward offers all eligible employees a comprehensive benefits package including, but not limited to major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k. Keywords: [KEYWORDS FOR SEO OPTIMIZATION] About BC forward : Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BC forward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BC forward's 6,000 consultants support more than 225 clients globally. BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BC forward to become a market leader and best in class place to work. BC forward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. To learn more about how BC forward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BC forward will only use this information to complete the recruitment process. This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will regardless of the anticipated assignment duration.

Company is helping our client find a Manufacturing Diagnostics Engineer to support the bring-up, validation, testing, and troubleshooting of the company's products, as well as the development and implementation of diagnostic systems and infrastructure. In this role, you'll develop, refine, and scale test processes for the electrical and firmware systems of the company's primary drive module subassembly, which is ultimately assembled onto the vehicle. The ideal candidate has strong debugging and diagnostic skills, hands-on experience with automotive networking and firmware testing, and enjoys working cross-functionally in a fast-paced manufacturing environment. As a Manufacturing Diagnostics Engineer, you will: Serve as the first line of defense for electrical, firmware, and functional issues on the drive module manufacturing assembly, including software, firmware, harnessing, networking (CAN, LIN, Automotive & Standard Ethernet, GMSL), hardware, and infrastructure. Troubleshoot and resolve electrical and firmware issues at the manufacturing supplier (e.g., flashing firmware, updating test sequences, repairing harness connectors, terminals, and wires). Work closely with multidisciplinary engineering teams to interpret component- and vehicle-level requirements and translate them into scalable, system-level validation test scripts and cases.7 Develop work instructions, troubleshooting guides, and workaround documentation for operators on the manufacturing line. Design and implement next-generation diagnostic architectures to support higher-volume production in future manufacturing lines. Daily tasks Responsibilities Serve as the first line of defense for all electrical and functional issues on the drive module manufacturing assembly including but not limited to software / firmware, harness, networking (CAN, LIN, Automotive and Standard Ethernet, GMSL, etc.), hardware, and infrastructure issues. Resolve electrical and firmware issues at manufacturing supplier by flashing firmware, updating test sequences, repairing harness connectors / terminals / wires, etc. Work closely with multidisciplinary engineers to collect and interpret the component and vehicle level requirements and translate them into scalable system-level validation test scripts and test cases Develop work instructions and troubleshooting / workaround guides for operators on the Manufacturing line Design and implement future manufacturing lines involving the next generation diagnostic architecture to support higher volume production Required skills Qualifications Bachelor's degree in a relevant area such as Electrical Engineering or Computer Science. Very strong troubleshooting and debugging skills and experience, including reading, troubleshooting, and injecting packets over various network protocols such as CAN, LIN, and Ethernet 2-4 years of experience with automotive controller integration testing or test script development / programming in high-level languages such as Python Experience with Github or similar tools for software management Strong background in Linux and shell / bash / terminal scripting Bonus Qualifications Master's degree in a relevant area such as Computer Science or Engineering Experience with integration and automation of manufacturing and test equipment Background in creating, reading, and writing to tables in SQL database Experience with computer network engineering, TCP / IP protocols, communication over API Business driver of role As a Manufacturing Diagnostics Engineer, you will be a part of the team that executes processes to bring up, validate, test, and troubleshoot the company products as well as implements diagnostic systems / infrastructure. You will develop and improve our processes for testing the electrical and firmware systems of the primary drive module subassembly that is ultimately assembled onto the company vehicle.

Are you an experienced R&D Engineer with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced R&D Engineer to work at their company in Maple Grove, MN. Develops products, materials, processes, or equipment for projects of moderate complexity. Under limited supervision/guidance, compiles, analyses, and reports operational, test, and research data to establish performance standards for newly designed or modified products, processes, and materials. This person will be working with other engineers, the design assurance team, and PM staff. Primary Responsibilities/Accountabilities: Fully participates in and successfully contributes to project teams, typically including the following activities: product design and development, test of materials, preparation of specifications, process capability studies, research investigations (animal and clinical studies), report preparation, and process/test documentation. Works independently to plan and schedule own activities necessary to meet timelines. Designs and coordinates standard engineering tests and experiments. Designs, procures, and fabricates tooling and fixtures. Performs troubleshooting on new products/process problems as related to design, material, or process. Summarises, analyses, and draws conclusions from test results. Prepares standard reports/documentation to communicate results to the technical community. Responsible for engineering documentation. Invents/ creates concepts and designs for new products/processes and submits idea disclosures. May train and/or provide work direction to technicians. Works cooperatively with process development, quality, manufacturing, regulatory, clinical, and marketing to ensure project success. Demonstrates PDP/TPD system knowledge through delivery of high-quality deliverables. Build Quality into all aspects of their work by maintaining compliance to all quality requirements. Qualifications: An engineering or physics degree is required 2+ years of experience (internship experience will not be considered for # of years of experience) Hands-on lab experience and test methods MS Office, Operation of equipment & testers Preferred: Tooling / Fixturing experience. 3D print

Minimum Qualifications - Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5+ years of experience designing, developing, and implementing large-scale solutions in production environments Preferred Qualifications - Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training Airline Industry experience Experience working as a platform engineer or in close collaboration with platform engineers Skills, Licenses, and Certifications Proficiency with the following technologies: Programming Languages: Go, Python, React Deployment Technologies: Kubernetes, Docker Source Control: GitHub CICD: GitHub Actions Data management: PostgreSQL, MongoDB, Redis Integration/APIs Technologies: Kafka, REST, GraphQL Cloud Providers such as Azure and AWS Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity Ability to concisely convey ideas verbally, in writing, in code, and in diagrams Ability to optimize system designs spanning multiple teams to allow small, safe, incremental releases Ability to work through others by cooperatively sharing responsibilities Ability to combines deep knowledge of a product domain with awareness of advancing technology to introduce solutions that propel the technical capability of the organization forward. Proficiency in object-oriented design techniques and principles Proficiency in Agile methodologies, such as SCRUM Proficiency in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment

Amazon's Material Handling Engineering team is seeking a Hardware Development Engineer (HDE) to help define, design, and deliver the next generation of material handling equipment across our global distribution network. You will play a critical role in developing mechanical, electrical, and control solutions-working both independently and in collaboration with third-party OEM partners. This role requires a balance of deep technical expertise, strong problem-solving skills, and the ability to translate business and operational needs into robust, scalable engineering solutions. You will work at the intersection of R&D, product development, and operations, challenging the status quo of traditional conveyance, sortation, and robotics solutions. Key job responsibilities - Design, develop, and validate hardware solutions for Amazon's next-generation material handling systems. - Translate ambiguous business problems into clear technical requirements and engineering solutions. - Collaborate with cross-functional partners (operations, procurement, global engineering, and launch teams) to ensure successful product delivery. - Lead the design-for-manufacturing, assembly, installation, and maintenance processes to ensure long-term scalability. - Evaluate and integrate OEM hardware solutions; identify gaps and lead in-house design where required. - Build prototypes, conduct testing, and analyze results to validate performance, safety, and reliability. - Author technical specifications, design documents, and test plans. - Champion data-driven decision making, ensuring technical trade-offs are well-documented and communicated. - Manage risk through proactive identification and mitigation strategies. - Stay current with emerging technologies in automation, robotics, and industrial equipment. Basic Qualifications - Experience in developing functional specifications, design verification plans and functional test procedures - Bachelor's degree in Mechanical or Electrical Engineering or a related field Preferred Qualifications - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects - 5+ years of experience designing and developing material handling equipment, such as conveyors, sortation or AMRs. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.