Systems Engineering Jobs

About Dawn Aerospace Dawn Aerospace is redefining space transportation through reusable, sustainable, and high-cadence flight systems. Our Aurora Spaceplane enables rapid access to suborbital space and speeds over Mach 3, serving a growing need for near-space testing, high-speed flight, and microgravity research. Together with our in-space propulsion business, Dawn is building the infrastructure for sustainable access to and operation in space. Role Overview Aurora is the first vehicle capable of flying missions to the edge of space multiple times a day. Your job is to transform this vehicle capability into mission success for our customers working from anywhere in the US - although Huntsville , USA is preferred (with domestic and international travel) . As a Mission Manager, your core role is to translate customer objectives into executable flight plans. You will be the customer’s interface to Dawn's flight operations, engineering, regulatory, and commercial teams. Throughout any project, you will coordinate the specialists required to solve individual problems while retaining responsibility for the mission. This is not a passive account-management role. You will be expected to assess mission feasibility, challenge customer assumptions, defend engineering realities, and drive clarity across complex, first-of-a-kind mission concepts. You will be the customer’s technical advocate inside Dawn, and Dawn’s operational interface to the customer. You will succeed here if you can lead through ambiguity, communicate with precision, and have the technical depth to engage meaningfully with aerospace engineers and flight operators, while keeping customers aligned, informed, and confident. Key Responsibilities Mission Ownershi

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. We’re looking for a technical program manager to drive cross-functional programs delivering our next-generation compute platform and sensor architecture — the hardware and software backbone of our autonomous vehicle stack. You'll own program strategy, execution, and risk management across hardware, embedded software, and systems integration teams, working closely with hardware engineering, perception, and platform software groups to ship on schedule. In this role, you will: Own the end-to-end program plan for next-gen compute and sensor software workstreams, from architecture definition through bring-up, validation, and production readiness. Partner with hardware, firmware, perception, and systems engineering leads to align on requirements, interfaces, and milestones across the compute/sensor stack. Identify and drive resolution of cross-team dependencies, technical risks, and schedule conflicts before they become blockers. Build and maintain program schedules, tracking mechanisms, and executive-level status reporting. Facilitate technical trade-off discussions (performance, power, cost, timeline) and drive decisions to closure with engineering leadership. Establish and evolve program management processes (planning cadences, milestone reviews, launch readiness criteria) for a fast-moving hardware-software program. Qualifications BS or MS degree in computer science, engineering or equivalent job experience 8+ years of technical program management experience, with a track record on programs spanning embedded software and hardware (compute platforms, SoCs, sensors, or similar) Strong track record of managing complex, long-running, cross-functional projects Deep familiarity with software, hardware, or automotive development processes An ability to keep the big

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta enables universal, secure access to technology for every user and organization. The Device Identity and Access team ensures that every endpoint interacting with corporate resources is trusted, healthy, and secure. Our pillar spans four domains: Device Identity, Device Authentication, Device Security Posture, and Endpoint AI Security. We are hiring a Senior Product Manager to drive our Zero Trust Authentication group. In this role, you will lead the core execution, performance, and deployment strategy for Okta’s foundational endpoint products. You will own the operational excellence of Okta Verify , FastPass , and Device Assurance , ensuring that our core passwordless authentication flows and device posture engines remain performant, secure, and incredibly easy for global enterprises to deploy at scale. This is a critical, high-impact role designed for a highly autonomous product manager. You will take on the tactical execution and smaller strategic investments for our endpoint authenticators, acting as the team's operational anchor so that our senior product leaders can continuously expand our strategic frontiers. What you will own You will bridge user experience and deep systems engineering to ensure our core authentication products scale reliably for millions of global users. Core Device Assurance Execution: Own the roadmap for our baseline security posture checks (such as OS version validation, disk encryption, and firewall status). You will m

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore fosters continuous learning and innovation. Job Summary Reporting into the Systems Engineering organisation, the Distinguished Engineer, End-to-End Security Architect will define and lead the security architecture for Graphcore’s inference service platform. This role is responsible for establishing a comprehensive security strategy spanning platform, infrastructure, networking, service operations, customer assurance, and compliance readiness. Working across multiple engineering and operational functions, the successful candidate will provide technical leadership, drive security requirements, and ensure the platform delivers robust protection, resilience, and trust for customers. The Team You will work closely with teams across security architecture, infrastructure engineering, networking, site reliability engineering, platform software, firmware, data centre operations, compliance, legal, customer engineering, and customer security. The team collaborates across the business to deliver secure, reliable, and scalable AI infrastructure and services while supporting customer assurance, regulatory requirements, and operational excellence. Responsibilities and Duties Own the end-to-end security a

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Role Nuro is a technology company at the intersection of AI, robotics, and logistics. The Fleet Technician is a specialized technical role responsible for the diagnostic health, software integration, and hardware integrity of Nuro’s autonomous vehicle fleet. This position requires a hybrid mastery of Linux-based systems, hardware-software abstraction layers, and electromechanical engineering to ensure peak operational performance. About the Work Systems Diagnosis & Analysis: Independently analyze and root-cause complex failures involving the interaction between autonomous software stacks and vehicle hardware. Tooling & Automation Development: Design, develop, and implement hardware and software scripts (Python/Bash) to automate fleet health monitoring and optimize vehicle uptime. Deployment & Validation: Execute and validate critical software retrofits, firmware updates, and hardware modifications, ensuring high-fidelity integration with ADAS systems. Process Engineering: Author and standardize Technical Standard Operating Procedures (SOPs) and documentation for cross-functional use by engineering and operations teams. Technical Program Management: Lead specialized fleet-related workstreams, serving as the technical Subject Matter Expert (SME) when collaborating with Software and Hardware Engineering departments. Incident Management: Lead technical resp

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch, and beyond. Our program managers contribute to the end to end success of technical, integrated product milestones involving both of our vehicle platforms - the Toyota Highlander test fleet and Zoox’s purpose-built robotaxi. In this role, you will: Own the fleet validation operational strategy: Lead the end-to-end strategy and execution of mileage accumulation for both the physical test fleet and simulation assets, to enable Zoox’s geofence expansion across all cities. Partner closely with upstream teams (e.g. Autonomy, Systems Design & Mission Assurance, Places & Build) and downstream teams (e.g. Data Science, Fleet Operations) to ensure critical inputs are available, and results are delivered; you will ultimately "own the outcome" of test fleet data collection. This is a high leverage, high impact role. Usher in a simulation-first methodology : Act as the cross-functional catalyst for scaling simulated mileage accumulation. Drive alignment between Autonomy, System Design & Mission Assurance, and Simulation teams to ensure clear requirements are set, and simulation platforms are resourced to meet exponentially growing data needs. Identify and resolve critical bottlenecks : Develop rigorous tracking mechanisms that model the impact of upstream dependencies (e.g., map content deliverables and safety requirements). You’ll think critically and work cross-functionally to squash inefficiencies in upstream and downstream pipelines and systems. Partner collaboratively wi

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and datacentre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, we are working to enable Artificial Super Intelligence and ensure that its benefits are accessible to everyone. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the Director of Post Silicon Validation, you will be responsible for leading the Bristol team, enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. Reporting to the Senior Director of Post Silicon Validation, you will manage, develop and grow the Post Silicon Validation team in Bristol, delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Responsibilities Manage, develop and grow the Post Silicon Validation team in Bristol: The Post Silicon Validation team is relatively new, with a strong remit and growing quickly to help Graphcore bring up new silicon quickly and effectively. Play a significant role in the definition, planning and execution of chip bringup activities: Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature r

Zoox is seeking an experienced Technical Recruiting Manager to lead one of our teams focused on hiring engineering talent. In this role, you will partner with engineering leaders to develop and execute hiring strategies for teams in systems engineering, artificial intelligence, software and robotics. As a key member of the talent leadership team, you will lead and mentor a group of recruiters and recruiting leaders, fostering a collaborative and high-performing environment. Your ability to build strong relationships will be critical as you partner with stakeholders to navigate various hiring challenges. Your work will directly support Zoox's mission to drive innovation and excellence in mobility. In this role, you will... Manage a team of recruiters as well as their career growth and performance reviews, providing mentorship and guidance - ensure team members are performing optimally Track metrics and pipeline activity from/with recruiters for hiring as well as manage reporting Manage full cycle recruiting process for our business organization ensuring a smooth and positive candidate experience - mostly focused on senior-level hires Innovate on ways to build a strong talent pipeline and recruit in a variety of venues Work internally with hiring managers to understand positions and team needs Create job descriptions, role profiles, and offer packages based on the position and company requirements Negotiate offers by partnering with the hiring manager and any relevant stakeholders Work cross-functionally with legal, compensation/benefits, immigration, etc. Work directly with recruiting/business leaders to deeply understand the requirements for all hires and their impact on the company and product as a whole Qualifications 8+ years of technical recruiting experience 3+ years of experience building and managing a high-performing technical recruiting team Ex

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities — and the System Design and Mission Assurance (SDMA) team plays a foundational role in making it happen. We’re responsible for constructing the safety case and fail-operational design for our autonomous robotaxis before they hit public roads. We’re looking for a part-time Full Stack Software Engineer (approximately 20 hours per week, starting for 6 months) to join the team and gain hands-on, real-world experience building the tools and automation that drive Zoox’s safety metrics. This role is an excellent opportunity for local students who want to apply classroom learning to cutting-edge autonomous vehicle technology. Under the mentorship of a senior engineer, you’ll collaborate with PMs and engineers to design, develop, and enhance applications used in Zoox’s safety evaluation processes. In this role, you will: Help develop and implement scalable applications to automate the generation of Zoox’s safety metrics. Collaborate with software engineers and PMs to build and test new features. Improve existing tools by optimizing latency, CPU/memory usage, and database queries. Qualifications: Exposure to SQL, Spark, JavaScript/TypeScript, HTML, CSS, or Python. Experience with a Front-End UI Framework (e.g., Vue, React, Svelte) or a web framework (e.g., Flask, FastAPI). Comfortable using Google Suite or Microsoft Office; willing to learn tools like JIRA or Confluence. Strong written and verbal communication skills. Actively enrolled in a 2-year or 4-year college program pursuing a degree or certificate in Software Engineering, Computer Science, Systems Engineering, Mechanical Engineering, Electrical Engineering, or a related field. Bonus Qualifications: Familiarity with a low-level language such as Java, Kotlin, C, C++, or Rust. Understanding of low-level Linux system protocols, firmware,

Job Details: Job Description: This role requires regular onsite presence to fulfill essential job responsibilities. Drives lab systems engineering including the development of solutions to improve lab quality, compliance, and throughput. Drives monitoring, record keeping, and reporting for lab equipment including maintenance, service, calibration, rework, and testing activities. Creates and develops test plans for new features on each product and recommends improvements to enable automated scripting for testing and archiving of results. Drives lab execution including engineering analysis, instrumentation, data analysis, and result reporting. Resolves reported bugs and root causes issues that could impact product quality and experience. Develops plans and cost estimates based on requirements and assesses projects to analyze risks and rewards, drive procurement of equipment and other lab materials, and development of lab infrastructure. Ensures lab preparedness including bench set-up, procurement of test equipment and other lab materials, and infrastructure requirements. Collaborates with functional teams such as IT, security, and facilities to maintain a successful lab. Develops and coordinates the design, development, and implementation of new ideas, process, and systems for lab improvements needed to meet program deliverables. Qualifications: Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Diploma / ITI with 2-3yrs of working experience Preferred Qualifications: Expertise on the Lab enabling activities Requirements listed would be obtained through a combinatio

Graphcore Director-Post Silicon Validation (Functional) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, Texas which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and validation. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Working within the Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. Th

Own the end-to-end execution that takes NVIDIA DRIVE Autonomous Driving Software (NDAS) from product definition to production deployment across major OEM vehicle lines. We are seeking an accomplished engineering execution leader to lead adaptation, integration, validation, and production readiness of NVIDIA Autonomous driving solution (NDAS) for strategic automotive OEMs. You will work between NVIDIA product and engineering teams and the OEM's vehicle, software, systems, and validation groups. The role involves converting an agreed feature set into a deliverable vehicle program. This entails clarifying requirements, coordinating interfaces and responsibilities, setting the engineering plan, building consistent productization workflows, and managing issue resolution. You will influence teams such as systems engineering, autonomous-driving development, platform software, functional safety, cybersecurity, quality, validation, release, and customer engineering. What You'll Be Doing: Lead NDAS execution with major OEMs across the full program lifecycle — from feature definition and technical alignment through vehicle integration, validation, launch, and production ramp — owning the coordinated engineering plan per vehicle line, including requirements, architecture, adaptation scope, achievements, staffing, validation strategy, release criteria, and production-readiness gates. Translate OEM vehicle requirements and use cases into clear commitments for NVIDIA teams, while ensuring OEM partners understand product capabilities, constraints, assumptions, and the work required on their side; build scalable, repeatable workflows for adapting NDAS to specific OEM platforms, vehicle architectures, sensor configurations, compute platforms, networks, and development processes. Drive multi-functional implementation across autonomous-driving features, systems, platform software, vehicle integratio

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Partner Solutions Engineer - Hardware Adyen is looking for a Senior Partner Solutions Engineer with a track record of hands-on embedded Android or systems engineering work to own the technical relationship with one or more of our most complex hardware OEM partners. You'll be the primary technical authority on that relationship: root-causing the hardest device-level issues, holding senior OEM engineering counterparts accountable, and shaping how Adyen manages OEM technical relationships as the function grows. As Adyen evolves its hardware offerings and moves toward a hardware independence model, this role carries real weight. Your OEM relationship is one of the more demanding ones in the portfolio, and you're expected to bring judgment and strategy to it, not just execute an existing playbook. What you'll do: Serve as the primary, most senior technical advisor for your OEM's engineering team, leading escalations on the most complex device-level issues. Drive technical strategy for your OEM relationship: which issues to prioritize, which process gaps to close, and how automation and tooling should evolve. Lead cross-functional alignment across Product, Engineering, Hardware Integrity/Reliability, and Commercial on priorities for your OEM, especially when those priorities conflict. Design and drive adoption of tooling, automatio

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

INFRASTRUCTURE ENGINEER - Linux & Data Center Location: San Francisco Bay Area Department: Information Technology — Infrastructure Engineering Reports To: Infrastructure Engineering Manager Employment Type: Full-time Experience Level: 2–4 years Base Salary: $100,000–$125,000 USD annually Travel: Periodic data center and colocation site visits On-Call: Participates in a shared infrastructure on-call rotation, with senior escalation support Location: San Francisco Bay Area Eligibility: U.S. citizenship required On-site requirement: This role has hands-on data center responsibility and cannot be performed fully remote. ABOUT RAPIDFORT RapidFort is a cybersecurity company focused on helping organizations secure and optimize their software supply chain and containerized environments. Our platform helps teams reduce software vulnerabilities and attack surface while improving the security and efficiency of modern cloud-native applications. We work with commercial enterprises and public-sector organizations operating in highly regulated and security-sensitive environments. ABOUT THE ROLE RapidFort Inc. runs its core systems on infrastructure we own and operate. We are looking for an Infrastructure Engineer to help build, automate, and run that estate alongside our senior engineers. This is a hands-on role with a deliberate weighting: roughly 70% Linux systems engineering and automation, 30% data center hardware, storage, and network. Most of your week is spent in the Linux environment — building, patching, scripting, and troubleshooting — and a real part of it is spent with your hands on physical infrastructure. This is a growth role, and we mean that concretely. You will work to standards set by our Infrastructure Engineering Manager and Lead Infrastructure Engineer, with design review and mentorship built into how the team operates. You are not expected to arrive with deep storage or network architecture experience. You are expected to be strong on Linux, genuinely co