Experienced Systems Engineer Jobs

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role We’re looking for Senior Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture -- collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. We expect Senior Engineers to be able to own projects end-to-end and mentor their junior and mid level peers. This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will... Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 5+ years of industry experience Prior experience working with backend tech stacks Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Ability to analyze and improve efficiency, scalability, and stability of various system resources Expe

About the Team The Merchant Knowledge Platform team, part of DoorDash’s Merchant organization, builds the systems that serve merchant, store, menu, and catalog data to experiences across DoorDash, Wolt, and Deliveroo. Our platform connects merchant information to the experiences people rely on every day, from discovering stores and searching for products to placing orders. We’re building the next generation of this global platform to support growing data volumes, new product capabilities, and AI-powered experiences. Our team brings together experienced technical leads and engineers early in their careers, with a shared commitment to engineering excellence and learning. About the Role We’re looking for an Engineering Manager to lead a team of talented engineers building and operating a platform at the core of our global marketplace. You’ll own the team’s technical direction and roadmap, working closely with engineers on architecture and design decisions while supporting their growth. You’ll partner with teams across the company to understand their needs, set priorities, and build shared capabilities that make merchant data reliable and efficient to access at scale. You must be located in the New York Metro Area for this hybrid position. You’re excited about this opportunity because you will… Shape the technical vision and roadmap for a global merchant data platform that supports consumer and merchant experiences across three companies. Guide the design of distributed systems that serve large volumes of data with high availability, low latency, and consistent performance. Partner with engineering, product, and business teams to turn shared needs into reusable platform capabilities and make clear decisions about priorities and tradeoffs. Support, coach, and develop a team of engineers with a range of experience, helping them grow their technical skills and ownership. Improve platform reliability and engineering practices while helping the team use AI tools to lea

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. About our Team: We are seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first-class capability—both in the development workflow and in production systems. This role focuses on designing and integrating AI-powered solutions using custom agents, Model Context Protocol (MCP), and scalable software engineering practices to accelerate development and deliver reliable, production-grade systems. Our team needs additional support to scale with the increased SMAI Data Science footprint and expand software support for Technology Development workflows and AI enablement. Position Overview: We are looking for an AI Full Stack Engineer who builds modern applications using AI as a first-class capability—both as part of the development workflow and the systems we ship. This role goes beyond simply using AI coding assistants. It requires strong understanding of advanced timely creation, vibe scripting, Rework Rate Reduction, and applying Custom Agents with integrations built around MCP or equivalent experience. The goal is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence into development workflows and delivered applications. Responsibilities: Contribute to platform enablement, architecture decisions, code reviews, and shared engineering standards; design, build, test, deploy, and operate full stack software solutions while owning features end‑to‑end including system

Senior: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role About the job Build quality foundations for Kubernetes systems that power next-generation AI compute. As a Senior QA Engineer , you will validate the workload management stack for new AI accelerator hardware. You will help ensure that Kubernetes integrations are reliable, scalable and ready for production use. Your work will support how accelerators are scheduled, orchestrated and used across distributed environments. You will test systems that make complex AI compute infrastructure dependable for real users. You will design and develop automated test suites, build system and integration tests, and contribute to improving CI/CD quality practices. You will also investigate and debug issues across Kubernetes, infrastructure and application layers. This role is for someone who enjoys hands-on technical testing, automation and working close to complex distributed systems. This is a hybrid position, with at least three days each week in our Gdańsk office. The team and culture You will join the Workload Management team, working closely with software engineers, infrastructure specialists and other QA engineers. The work is practical, systems-focused and based on strong technical ownership. Quality is built early here, not checked only at the end. You will contribute to test strategy, validation planning and automation practices throughout the development lifecycle. The team works through open technical discussion and evidence-based decisions. You will be encouraged to speak up on quality risks, improve test coverage and help turn complex systems into reliable products. As a senior member of the QA team, you will also support less experienced engineers through technical guidance, code reviews and sharing good testing practices. What we’re looking for Strong Python programming experience, with a focus on automation and test engineering Hands-on experience with Robot Framework or

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a motivated Mechanical Design Engineer Intern to join our team. This is a hands-on opportunity to design, prototype, test, and iterate on robotic hardware for real-world deployment. You will work alongside experienced mechanical, electrical, and robotics engineers on ambitious, real-world problems. You will help turn ideas into tested hardware and see how your designs perform as part of complete robotic systems. Responsibilities Design mechanical parts, mechanisms, and assemblies for robotic systems. Create and update 3D CAD models and engineering drawings . Perform basic engineering analysis, tolerance checks, and FEA. Support prototype fabrication, assembly, testing, and design iteration. Collaborate with mechanical, electrical, and robotics engineers during system integration. Requirements Currently pursuing a Bachelor’s, Master’s, or PhD in Mechanical Engineering, Robotics, Mechatronics, or a related field, or graduated within the past 6 months . Strong mechanical design fundamentals. Experience with SolidWorks or Fusion 360 . Hands-on experience designing and building mechanical hardware through coursework, research, internships, robotics teams, or personal projects. Familiarity with manufacturing processes such as CNC machining, sheet metal, or 3D printing. Able to work on-site in Milpitas, CA, five days per week (40 hours/week) Bonus Qualifications Experience with robotic arms, actuators, transmissions, mobile robots, or end-effectors . Familiarity with GD&T, tolerance stack-up, FEA, and DFM . Machine-shop or rapid-prototyping experience. Experience taking a design from CAD to manufactured and tested hardware . Benefits Company-provided lunch and dinner, a fully stocked

About Graphcore How often do you get the chance to build a technology that transforms the future of humanity? Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies. Job Summary We are seeking an experienced Site Reliability Engineering leader to build and lead a new SRE organization responsible for the production operation of a rapidly scaling AI supercomputing platform. The environment combines highly customized compute, high-performance networking, storage and supporting infrastructure, and will grow through multiple phases of deployment. This is a rare opportunity to establish the reliability function for a new platform from the ground up. The platform and its operational model are being developed in parallel and will ultimately support a 24x7x365 production service with stringent availability requirements. You will take the SRE organization from initial formation through production launch, stabilization and scale. This includes hiring and developing the team, defining the operating model, establishing production readiness and incident-management practices, and ensuring reliability and operability are engineered into the platform from the outset. SRE is responsible for the operational capability required to run the platform reliably in production, while partnering with engineering teams that remain accountable for the reliability and operability of the systems they build. This is not a purely managerial position. During the development and early production p

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact – not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embed with our most sophisticated and technical platform customers, serving a

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Team Description MongoDB seeks an experienced Senior Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities. Our ideal candidate: - Has 6+ years of professional software engineering experience - Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.) - Strong technical judgment and the ability to independently solve complex engineering problems - Excellent communication skills and comfort collaborating across teams and disciplines - Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet - Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks) - Has the ability to iterate fast, specially in the case where requirements are not clear - Keeps up with emerging AI tooling and models, not just what's already mainstream - Collaborative, detail-oriented, and passionate about building reliable, usable software Bonus Round: - Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines - Experience designing systems or services used by other engineers or teams - Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React - Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph) - Familiarity with transformer architecture and model internals - Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines Position Expectations: - Design and run experiments that test emerging AI capabilities against real internal use cases, before

NPI Mechanical Quality Engineer Description - As part of the Personal Systems Quality organization, the NPI Mechanical Quality Engineer drives product quality and reliability throughout the NPI product development lifecycle. This role partners with cross-functional teams to evaluate designs, identify and mitigate reliability risks, drive failure analysis and root cause investigations, and implement corrective actions that improve product quality and customer experience. This role provides technical leadership in reliability test development, mechanical design assessment, and Design for Quality and Reliability (DFX) initiatives to ensure high-quality products from concept through production. Strong mechanical engineering expertise, problem-solving skills, and team collaboration are essential for success in this role. *Onsite in Spring office is required 4-days a week Responsibilities: • Provides technical analysis of compute products during NPI Phase through RFQ design proposal reviews, CAD reviews, and DFX product tear downs. • Provides advanced failure analysis, root cause identification, and corrective/preventive actions for reliability concerns and/or issues during development, manufacturing, and field operations. • Proactively addresses customer requests or issues related to mechanical reliability, ensuring timely resolution while liaising with the relevant stakeholders. • Provides consultation to product development architecture teams regarding material component selection, design risk assessment, and associated reliability test plans. • Provides NUD (new, unique, difficult) risk mitigation and test plan development and develops issue prevention. • Actively mentors less-experienced engineers in the field of mechanical reliability and contributes to their growth in the organization. Education & Expe

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. At Micron, we are transforming how the world uses information to enrich life. The High Bandwidth Memory (HBM) Design team develops industry-leading memory solutions that enable advances in Artificial Intelligence, high-performance computing, graphics, and data-center applications. Our engineers collaborate across global teams to deliver innovative memory architectures and semiconductor technologies that power next-generation computing systems. As an HBM Design Engineer Intern, you will work alongside experienced memory engineers and gain hands-on experience in semiconductor design, simulation, verification, and analysis. This internship provides exposure to industry-standard design methodologies, EDA tools, and cross-functional collaboration throughout the product development lifecycle. You will also have opportunities to apply AI-Assisted and AI-Enabled workflows to improve engineering productivity, debug efficiency, and design quality. Responsibilities Assist with the design, simulation, analysis, and verification of HBM memory and logic circuits using industry-standard semiconductor design tools. Support RTL development, circuit implementation, timing analysis, power analysis, and functional validation activities. Develop scripts, automation solutions, and AI-Assisted workflows to improve design productivity, debug efficiency, and design-flow quality. Collaborate with Design, Verification, Physical Design, CAD, and Product Engineering teams on technical reviews, debug activities, and project deliv

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. At Micron, we are transforming how the world uses information to enrich life. The High Bandwidth Memory (HBM) Design team develops industry-leading memory solutions that enable advances in Artificial Intelligence, high-performance computing, graphics, and data-center applications. Our engineers collaborate across global teams to deliver innovative memory architectures and semiconductor technologies that power next-generation computing systems. As an HBM Design Engineer Intern, you will work alongside experienced memory engineers and gain hands-on experience in semiconductor design, simulation, verification, and analysis. This internship provides exposure to industry-standard design methodologies, EDA tools, and cross-functional collaboration throughout the product development lifecycle. You will also have opportunities to apply AI-Assisted and AI-Enabled workflows to improve engineering productivity, debug efficiency, and design quality. Responsibilities Assist with the design, simulation, analysis, and verification of HBM memory and logic circuits using industry-standard semiconductor design tools. Support RTL development, circuit implementation, timing analysis, power analysis, and functional validation activities. Develop scripts, automation solutions, and AI-Assisted workflows to improve design productivity, debug efficiency, and design-flow quality. Collaborate with Design, Verification, Physical Design, CAD, and Product Engineering teams on technical reviews, debug activities, and project deliv

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. The SSD Engineering team develops the firmware that powers Micron's industry-leading storage solutions. By combining embedded systems expertise, software innovation, and AI-enabled development practices, the team delivers high-performance, reliable SSD products for client, enterprise, and data center applications. As an SSD Firmware Intern, you will work alongside experienced engineers to develop, test, and improve firmware for Micron's SSD products. This role provides hands-on experience in embedded systems, firmware development, debugging, and AI-assisted engineering workflows while contributing to the performance, quality, and reliability of next-generation storage solutions. Responsibilities Collaborate with firmware engineers to develop, test, and enhance SSD firmware features and functionality. Debug and resolve firmware issues to improve product performance, reliability, and quality. Develop and implement test plans to validate firmware functionality and support product qualification activities. Participate in code reviews and contribute to continuous improvements in code quality and development processes. Document firmware features, updates, and technical information for internal and external stakeholders. Minimum Qualifications 0-2 years of relevant experience through internships, research, coursework, academic projects, or software/firmware development activities. Currently pursuing a Bachelor's degree in Electr

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Embedded Software team is responsible for the software running on Hark’s next generation of AI hardware, and we are looking for an experienced DevOps Engineer to join our team. You will be working cross functionally with the Firmware, Device Software, QA, Manufacturing and Operations team. You will architect and implement our CI/CD pipelines, create and maintain build and release infrastructure, develop internal tools, manage automation and artifacts, and constantly improve our build, deployment, and infrastructure for all Hark devices. Responsibilities Develop, maintain, and optimize our CI/CD pipelines to support embedded software delivery, including internal clients Administer build infrastructure, including job configuration, plugin management, and performance tuning. Monitor and troubleshoot build systems, ensuring high availability and rapid response to issues. Scale infrastructure to meet growing demands and proactively address performance bottlenecks. Ensure security, compliance, and best practices across build and deployment systems. Manages device OTA, scheduled rollout, and fleet management Requirements 5+ years of practical experience in DevOps for Embedded Systems and/or consumer electronics products Advanced

Power Electronics Hardware Engineer Location: Liberty Lake, WA Infinitum is a cutting-edge company committed to pushing the boundaries of innovation in the realm of motors and motor drive systems. Our mission is to deliver sustainable and efficient power solutions that redefine industry standards. We are currently seeking a highly skilled and experienced Power Electronics Engineer to lead our power electronics design and development initiatives. Position Overview: As a Power Electronics Engineer at Infinitum, you will be responsible for the design, development, and optimization of power electronics systems. This role demands a deep understanding of power conversion technologies, a track record of successful product development, and the ability to work with a team of engineers to deliver high-performance solutions. Responsibilities: Power Electronics Design: Design and develop advanced power electronics systems, including converters, inverters, and power supplies, from concept to production. Emphasis on Variable Frequency Drive development and Active Front Ends. System Optimization: Optimize power electronics systems for efficiency, reliability, and performance. Conduct thorough analysis and simulations to validate designs. New Technology Evaluation: Stay abreast of emerging technologies and industry trends in power electronics. Evaluate and integrate new technologies that enhance product performance. Prototyping and Testing: Oversee the prototyping and testing of power electronics systems. Collaborate with cross-functional teams to ensure seamless integration with other system components. Regulatory Compliance: Ensure that power electronics designs comply with relevant industry standards and regulations. Work closely with certification engineering team for certifications as needed. Collaboration: Work closely with cross-functional teams, including hardware and software engineers, to integrate power electronics solutions into overall product architectures. Doc

About the Team Help us build the world's most reliable, on-demand logistics engine for last-mile delivery! We're bringing on experienced engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role We also offer “cloud solutions engineering”: we unblock teams across DoorDash with novel or complex cloud needs, from multi-cloud deployments and cross-cloud credential vending to multi-region sFTP. You will partner directly with teams across the company to take a need from an ambiguous request to production, and mature the most common ones into platform products that can be adopted widely. This role sits at the intersection of cloud infrastructure, security, and developer experience. It includes designing, building, and operating systems that must be reliable, secure, easy-to-use, and cost-efficient. You will report to the Engineering Manager of the Cloud Infrastructure team within the Infrastructure organization. This role is hybrid working from our New York City engineering hub. You’re excited about this opportunity because you will… Design and build the foundational cloud platform (account vending, IAM, cloud networking primitives, quotas, infrastructure as code) that every engineering team at DoorDash builds on top of Own the paved path for cloud at DoorDash: make the secure, cost-efficient way the easy way through self-service tooling Partner with product and platform teams to unblock complex or novel cloud use-cases, and turn the recurring ones into platform products Drive cloud-wide initiatives such as multi-cloud, unifying cloud foundations across DoorDash, Deliveroo, and Wolt, cost efficiency, and security posture Set technical direction for the team, mentor engineers, and influence cloud architecture decisions across the company Find ways to improve the team’s productivity and operational capabilities through the use of automation, A