Quality Systems Engineer Jobs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery

About the Opportunity Enabling millions of distributed energy devices to deliver reliable and predictable grid services to the electricity industry requires state-of-the-art forecasting, control systems, optimization algorithms, and data science. As such, EnergyHub seeks to hire a Senior Forecasting and Optimization Engineer to join EnergyHub’s Data Science and Power Systems Intelligence team. As a Senior Forecasting and Optimization Engineer you will work closely with some of the brightest minds in the electricity industry to solve some of the most difficult problems in distributed energy. The algorithms and data systems that you contribute to will be key to enabling a carbon-free distributed energy future. Main Responsibilities: What you’ll do Develop and improve accurate and robust energy forecasting models Develop and improve control and optimization algorithms Design, write, test, and deploy production-grade code for mission-critical forecasting and optimization products and related algorithms Build and use tools and processes to monitor and assess the quality of operational forecasting and optimization models Translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders Provide guidance to other engineers and scientists regarding machine learning, forecasting and optimization methods Present results clearly to internal and external stakeholders Collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams Other duties as assigned Required Skills and Experience: What you need Passion for enabling a carbon-free, distributed energy future At least five years of experience in machine learning, statistical analysis, data visualization, control systems engineering, and/or mathematical optimization Experience developing data pipelines using la

We are looking for a disciplined and dynamic, Lead System Engineer – compute blade and rack Validation to join our growing compute rack validation team. As a diligent leader in Systems Engineering, you will drive multiple aspects of validation throughout the life cycle of the program. In this high visibility position, you will be part of a leading team to innovate and improve system bring-up and enablement abilities, as well as silicon and system validation to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, validation and debug expertise will be necessary towards product development, definition, root cause and resolution. Your agility and collaborative approach will be essential to work within System Validation & other engineering teams (System Architects, SoC and Rack FW etc). The technical leader will be driving keys areas of system validation including leading first silicon & system bring-up (nodes and rack level systems) - rack level systems and blades will be based of ARM server architecture. Candidate will be immersed in challenging system enablement work, system validation (end-to-end) methodology, tests development and execution as well as triage/debug of critical issues to meet critical program milestones at POR quality. The candidate will also be a key contributor to state-of-the-art HW and lab capabilities for Grapchore’s system engineering. The candidate should be able to work in a global environment while maintaining a synergetic culture. Primary Responsibilities: Lead the systemenablement (including first silicon and other FW components) to ensure system capabilities are brought up as per plan of record and system architecture spec. Drive organization wide methodology for Firmware integration and best known configuration (HW/FW/SW) usage model by leading the release of deployment ready solutions. Develop key methodologies, lab HW and system SW capabilit

ThermalWorks LLC is seeking an experienced, hands-on Quality Assurance Manager to be stationed full-time on the production floor at our manufacturing facility. This is not a desk-based quality systems role. The successful candidate will personally inspect work in process, identify workmanship that does not meet ThermalWorks specifications or industry standards, and have the authority and technical credibility to stop, hold, and require rework of nonconforming product before it advances. Deep experience in chiller or industrial refrigeration manufacturing is essential, along with working fluency across mechanical, electrical, and control systems and the standards that govern them. Key Responsibilities Include but are not limited to: Resident floor presence: Maintain a daily, full-time presence on the production floor across all build stages – fabrication, brazing/welding, refrigerant circuit assembly, electrical panel build, controls integration, and final test. Workmanship inspection: Identify and document improper or nonconforming work in real time, including braze and weld quality, piping fit-up, leak testing, evacuation and refrigerant charging procedures, torque and fastener practices, wire routing and terminations, and labeling. Hold and rework authority: Exercise stop/hold authority on nonconforming units; drive disposition, rework verification, and re-inspection to closure. Standards and compliance: Verify builds against applicable standards and specifications, including UL 1995 / UL 60335-2-40, NFPA 70 (NEC), ASME B31.5, AHRI 550/590, and applicable CE/IEC requirements for international product, plus ThermalWorks engineering specifications and approved drawings. Inspection and test plans: Develop, maintain, and enforce Inspection and Test Plans (ITPs), in-process checklists, and hold points aligned to the production traveler. Factory acceptance testing: Witness and sign off factory acceptance tests (FATs) and performance verification, including customer

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Welcome! Are you ready to be at the forefront of ground breaking Engineering within the semiconductor industry?! Micron Technology, Inc., a global leader in memory and storage solutions, is seeking a dedicated and experienced Senior Engineer to join our Chemical team within the Global Facilities Engineering department. In this crucial role, you will play a vital part in providing high-quality Engineering services and support for the planning, design, construction, operation, and maintenance of our subject area specific Facilities systems across our Semiconductor Manufacturing sites worldwide for Chemical systems and Slurry systems. As a Senior Engineer, Chemical for the Global Facilities Engineering department at Micron Technology, Inc., you will be responsible to provide high quality Engineering services and support for the planning, design, construction, operation, and maintenance of your discipline specific Facilities systems in support of the Semiconductor Manufacturing sites across the Micron Global Manufacturing Network – for Chemical systems and Slurry systems. In this role, you will support the Facilities Teams and Manufacturing sites across the network as the Technical Subject Matter Expert through all phases of design, construction, installation, start-up, operations and maintenance with focus and emphasis on Global Standardization and Alignment, Innovation, Reliability and Performance, and Sustainability. Responsibilities: Technical Support, Leadership, a

About the Role At Together AI, you'll own the systems and tooling that let our engineers ship quickly and reliably: CI/CD pipelines, release infrastructure, local dev environments, and the testing systems the whole engineering team depends on. This is a high-leverage, build-heavy role. You'll take on big projects and drive them end to end: building a full-stack release service with deployment orchestration, rebuilding the front-end build pipeline, standing up testing infrastructure that kills flaky builds. The goal is straightforward: engineers should spend their time building products, not fighting their tooling. This is an engineering role focused on building systems, not a QA or manual testing role. You build the infrastructure that makes manual effort unnecessary. Responsibilities Build and own the production systems engineers rely on: release services with deployment orchestration (canary, blue/green), reusable CI/CD pipelines, and self-service tooling. Build testing infrastructure: the frameworks and harnesses that make tests fast and reliable, and track down flaky tests and slow builds at the systems level. Build and maintain local dev environments and containerized workflows so engineers can spin up and iterate fast. Create starter templates and shared tooling (CLIs, codegen, IDE integrations) so teams can stand up new services in minutes. Be the go-to engineer for GitHub Actions and GitOps: defining problems, untangling pipeline issues, and improving how the org works with them. Improve front-end build tooling and developer workflows alongside product engineers. Work across the org to find the biggest sources of friction and fix them at the root. Document what you build so others can use it. Requirements 5+ years building software in production, with a strong track record of owning systems or services end to end, from design through operation. Strong software engineering fundamentals. You write production-quality code and have built and operated real servic

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you. In this role you will: Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: Distributed systems: Track record of working with platform-as-a-service, distributed storage, o

Ship Suitability Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Ship Suitability Engineer (Level 5) to support the Systems Engineering Integration & Test ( SEIT) Team in Berkeley, MO . Located within the BDS Air Dominance Systems Engineering core group in St Louis, Missouri supporting the Ship Suitability functions in the core and across individual programs. The candidate will support core efforts in development and maintenance processes and tools and will act as the “user/customer advocate” on naval programs to instill operational quality in Boeing’s products. The candidate will collaborate with Boeing Integrated Product Teams and the maritime customer, working to inform integration into the shipboard environment including approaches to launch and recovery, deck handling, communication modes with the ship, and shipboard qualification testing. The candidate will support engineering and test efforts on programs at the systems level by analyzing designs, participating in trade studies, designing/developing concepts, and assisting with drafting and executing test plans for air ship integration of weapons systems. The candidate will also lead and support training efforts to educate Boeing and customer engineers in naval aviation operations, procedures, equipment and environments pertaining to ship suitability. Training efforts may include, but are not limited to, classroom training at Boeing facilities and leading groups of engineers aboard ships at sea and land-based facilities. Position Responsibilities Applies an interdisciplinary, collaborative approach to lead activities to plan, design, develop and verify complex lifecycle balanced system of

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

Full Stack Software Engineer (Associate/Experienced) Company: The Boeing Company The Boeing Company is currently seeking a Full Stack Software Engineer (Associate/Experienced) (UI Focus) with experience in software engineering and architecting to support the Denali Software team located in Herndon, Virginia . This position will focus on supporting the Boeing Defense, Space & Security (BDS) software engineering organization. The Denali software team is a dynamic group of curious, bold, and innovative software engineers striving for excellence in delivering quality products to end users. The software team is executing this vision through modern software technologies (Java, CI/CD pipelines) and methodologies (Scaled Agile). The ideal candidate is a self-motivated, high-performing software engineer with the aptitude for designing, developing, and maintaining complex multi-tiered application software systems. The software engineer will work day-to-day with a team of systems engineers, test engineers, and other software engineers to execute future vision. Position Responsibilities: Lead the design, development, testing, and ongoing maintenance of non-embedded software across the full end-to-end lifecycle to meet industry, customer, safety, and regulatory requirements. Analyze and translate customer requirements into clear, practical initial software designs that align with project goals. Develop, maintain, enhance, and optimize software products and features to enable robust system integration. <l

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

GNC Engineer (Experienced, Senior) Company: The Boeing Company Boeing Defense, Space & Security (BDS), Laser and Electro-Optical Systems (LEOS) seeks a GNC Engineer to perform design, analysis, and test of controls systems for precision electro-optical systems. Our team supports development of both directed energy and electro-optical systems. Position Responsibilities : Resolve requirement conflicts. Perform and document analysis and design of Guidance, Navigation, and Control ( GNC ) systems. Perform model validation against test data to inform and improve the accuracy of the simulation environment. Use advanced analysis to assess and refine the control law design . Gather, define, and document Guidance, Navigation, and Control mission requirements and ensure requirements traceability and quality from system level to component level. Develop solutions and disposition issues to assure customer satisfaction. Design trade studies to meet program requirements. Work across multiple disciplines such as systems engineering, software and hardware. Implement COTS solutions when appropriate. Author and maintain engineering documentation for consistency and delivery. This position is expected to be fully onsite in Albuquerque, NM. Basic Qualifications (Required Skills/Experience) : Active Top Secret U.S. Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active.) Ability, after starting in the position, to get a SCI or T5 (formerly SSBI). Minimum years of related experience: 3&#43; for level

Job Title Principal Electrical Engineer- Medical Device Job Description As a Principal Electrical Engineer, you will be part of the multidisciplinary IntraSight Hardware Team, contributing to innovative imaging clinical solutions. You will serve as the key technical interface between Philips and external suppliers, design partners, and contract manufacturers for PCBA development, ensuring high-quality, reliable, and cost-effective electronic designs that meet performance, safety, quality, and regulatory requirements. Your role Serve as the primary electrical engineering interface to suppliers, design partners, and contract manufacturers, providing technical leadership for PCBA design, development, prototyping, and industrialization. Drive alignment on electrical requirements, schematics, PCB layout, architecture, acceptance criteria, timelines, cost, and quality. Lead supplier selection, technical evaluations, design reviews, and issue resolution in partnership with sourcing, procurement, and cross-functional engineering teams. Review and approve schematics, PCB layouts, and design documentation to ensure alignment with Philips standards and system architecture. Drive design for manufacturability (DFM), design for testability (DFT), design for cost (DFC), and component selection strategies while considering availability, lifecycle, obsolescence, and overall product cost. Manage supplier change requests and mitigate component and PCBA lifecycle risks. Oversee PCBA verification and validation, including functional, signal integrity, power integrity, electrical safety, and EMC testing, ensuring compliance with applicable medical device standards such as IEC 60601-1 and IEC 60601-1-2. Partner with quality and regulatory teams to ensure suppliers meet required quality systems, documentation, and regulatory expectati

About the Team The Fulfillment Planning team builds the intelligence that powers DoorDash’s logistics network. We optimize how deliveries are planned and executed across the full delivery lifecycle, improving customer experience, merchant outcomes, Dasher efficiency, and DoorDash profitability. Our mission is to improve fulfillment quality while reducing fulfillment cost. We do this by applying machine learning, optimization, and systems engineering to the core decisions behind assignment, routing, batching, timing, and fulfillment estimation. The team works on some of DoorDash’s most important logistics systems, including: The core assignment engine that matches deliveries with Dashers in real time. Real-time ETA and fulfillment estimation systems for consumers, Dashers, and merchants across diverse geographies and all business lines. Assignment and planning algorithms for specialized delivery types, including grocery, retail, parcel, and catering. ML models and optimization algorithms that shape demand, improve service quality, and reduce cost. Tier-0 logistics services that require high reliability, low latency, and strong operational discipline. The team also builds reusable ML systems and modeling patterns that scale across DoorDash’s logistics ecosystem. This role will help define the technical direction and best practices for logistics ML at DoorDash. About the Role We’re looking for a Staff Machine Learning Engineer to lead the design, development, and deployment of large-scale production ML systems that drive real-time decisioning across DoorDash’s fulfillment ecosystem. You will start by owning ML systems for assignment and fulfillment estimation, partnering closely with Product, Data Science, Engineering, and Platform teams to improve delivery quality, cost, and efficiency. Over time, you may also contribute to adjacent areas such as batching, fulfillment execution, demand shaping, and logistics optimization across DoorDash’s business lines. This is