Systems Engineering Jobs

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a New Graduate Flight Test & Operations Engineer to support the testing and operation of next-generation autonomous defense platforms. This position spans our Flight Test and Flight Operations organizations, providing exposure to flight-test engineering, test planning, vehicle operations, field testing, and mission execution. You will work closely with flight operations, systems, GNC, software, avionics, and energetics engineers to plan and safely execute test campaigns. This role is ideal for a hands-on, highly organized engineer who wants to work directly with aircraft, spend time in the field, and help take developing systems from initial ground tests through flight. Key Responsibilities Support the planning and execution of ground and flight-test operations for unmanned aircraft systems. Develop test plans, procedures, concepts of operations, test cards, readiness-review materials, and post-test reports. Coordinate test activities across flight operations, systems, GNC, avionics, software, energetics, and other engineering teams. Support test campaigns through preparation, systems checks, dry runs, readiness reviews, day-of-test execution, and post-test analysis. Assist with aircraft preparation, ground-control

Opportunity Overview: We are looking for a Senior Clinical Configuration Analyst to play a key role in the technical configuration of platform requirements for Cohere’s Platform-as-a-Service (PaaS) clients. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with client-facing team members to understand and deliver key clinical configurations that are integral to helping new and existing clients meet their prior authorization automation goals. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. What you’ll do: Ensure thorough understanding of client’s technical requirements to facilitate seamless configuration of platform requirements during new client implementations Test configurability of new product functionality, or enhanced existing functionality, built to accommodate custom client requirements Define test scenarios and success criteria for all new and existing client platform configurations Execute on configuration of platform requirements in accordance with project timelines and client expectations Triage and resolve technical issues, during end-to-end testing or post-implementation, in a timely manner to ensure client satisfaction Serve as a technical SME for client-facing analysts during each stage of the customer lifecycle: providing education and answers to questions around configurability of client platform requirements; occasionally interfacing directly with clients to address issues Collaborate with Product, Development, Design, and Engineering to scope, develop, and implement internal configuration management tools that will help scale configuration work Required Qualifications: Must-haves 3-6 years of professional experience in a Configuration Management role; Bachelor’s degree in Computer Science, Systems Engineering, or related field Problem-Solving

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As an Observability team member, you are responsible for the operation and maintenance of our logging and metrics infrastructure. You ensure all teams at Lyft are aware of the operational health of their products by monitoring system availability and take a holistic view of our platform performance. You build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you find opportunities to improve our systems in order to push our platform forward. You provide our partners with the support they need to help them build robust large scale distributed systems. We count on the reliability of our infrastructure to empower Lyft teams to provide our customers rich experiences that are highly available with rock solid performance to ensure our transportation platform continues to connect people and places. As we grow our team, we are seeking experienced Infrastructure Engineer to ensure that as our Infrastructure continues to scale, our platform continues to provide an essential and dependable service that transports millions of people every day. Specifically we are searching for someone who brings fresh perspectives, enjoys collaborating with cross-functional teams in order to continually improve our products and services for our customers. Responsibilities: Maintain, improve, and develop tooling and systems that enhance the reliability, scalability, and efficiency of our platform. Assist engineering teams in defining service-level objectives (SLOs) and provide the necessary toolin

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

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 enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking an experienced Principal Hardware Diagnostics Engineer to design and develop diagnostics software used to monitor hardware health and diagnose system-level issues across Graphcore’s AI infrastructure platforms. This role focuses on building diagnostics agents, tools, and analytics frameworks that enable engineers and automation systems to identify, isolate, and resolve hardware issues across blade-level servers and rack-scale clusters. The Team 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. The Systems Engineering and Platform Validation team ensures Graphcore’s AI compute platforms are reliable, diagnosable, and operationally robust at scale. The team co

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

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. Position Overview: We are seeking a highly technical Staff Observability Site Reliability Engineer with a specialty in Splunk to own and evolve our Splunk ecosystem. In this role, you will move beyond simple monitoring to delivering a world class, comprehensive, scalable Observability Platform that enables our SRE teams and business partners. You will treat infrastructure as code —utilizing Terraform and strong coding proficiency in Go, Python, or Ruby —to automate the deployment of agents and collectors across complex distributed systems. Key Responsibilities Automated Infrastructure: Design, build, and maintain scalable observability infrastructure using tools like Terraform. Splunk Engineering: Optimize the collection, processing, and storage of log data to ensure high reliability and low latency of our Splunk services Incident Response: Participate in on-call rotations and lead post-incident reviews to drive systemic improvements and "observability-driven development." Automation: Eliminate "toil" by automating the deployment and scaling of observability agents and collectors. Required Skills & Experience (The Essentials) Log Management: Minimum 5+ Experience scaling and managing Splunk Cloud at scale (1000+ SVCs), including Workload Management (WLM) and HEC optimization. Visualization: Expertise in creating intuitive, actionable Splunk dashboards that correlate data across multiple sources. SRE Mindset: Minimum 5+ years of experience in an SRE, Dev

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What you’ll do: Lead teams to design and implement flight control algorithms for electric VTOL aircraft Work cross functionally to connect GNC requirements with other system requirements Influence leadership with decisions that are affected by GNC systems. Implement creative solutions to efficiently verify complex systems and software Build simulations to verify and validate system requirements Run trade studies to inform aircraft design and system architecture Work with the Flight Test team to design tests that safely evaluate the vehicle capabilities Improve the fidelity and capabilities of our vehicle and environment simulation models Analyze full-scale and subscale flight data to improve our models Author software requirements and test cases that drive the design of the GNC software Collaborate with Systems Engineering to properly decompose higher level requirements Collaborate with Systems Safety and Systems Engineering to identify and correct any deficiencies in the Flight Control System. What you need: Strong knowledge of vehicle dynamics, optimization, and both classical and modern control theory BS in Aerospace Engineering, Electrical/Computer Engineering, or a related field with at least 10 years of relevant experience OR MS with at least 8 years of relevant experience OR PhD with at

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Staff Engineers are our technical leaders operating at the forefront of technology, building solutions that take us through at least our next five years of growth. They do this in three major ways: As individual contributors, they bring world class technical abilities to deliver industry leading systems in areas such as data visualization, virtual runtime profiling, and planet scale streaming. As technical leaders they bring experienced technical breadth and communication skills to tackling design and architectural problems spanning the organization, charting the right course, then leading delivery. In both roles they participate in the staff engineering community and help us learn from what the industry is doing and what we've built before, and so improve company wide standards around software and systems engineering. Some examples of projects a staff engineer may own include designing and building a new data storage engine handling hundreds of millions of records per second, being the lead engineer building a new product like synthetics or profiling, or rebuilding a critical service to handle the next two orders of magnitude of scale. What You'll Do: Be the technical owner of multiple pieces of critical architecture in your area of the business Own delivery of the systems you architect from beginning-to-end, doing what it takes to get things shipped and at full scale in production Dive deep into performance of systems; inventing new approaches that bring efficiency at scale Who You Are: You have a BS/MS/P

Vehicle Management System (VMS) Hardware Engineer (Experienced) Company: The Boeing Company Boeing Defense, Space & Security (BDS) Flight Systems Engineering Capability is currently seeking an Experienced Vehicle Management Systems Hardware Engineer to join the Air Dominance Vehicle Management System (VMS), Hardware team located in Berkeley, MO. You will work across engineering disciplines to help us design elements of the Vehicle Management Systems (VMS) hardware. You will collaborate with our requirements and labs teams to implement and test your designs. Mechanical, Electrical, Aerodynamics, and other engineers are all welcome – to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to exciting aircraft development programs in St. Louis. Develops and documents moderately complex electronic and electrical s system requirements. Design hardware, and interfaces specifications. Test and validates to ensure designs meet operational and functional requirements Assist in monitoring supplier performance to ensure integration and compliance with requirements Solves problems concerning fielded hardware over the entire product cycle Researches specific technology advances for potential application to company business Analyze solutions to ensure ongoing operation of products thru life cycle Position Responsibilities: Lead requirements decomposition and traceability from customer need to testable design Develop, document,

MongoDB is seeking an executive public-sector leader to build the next phase of growth across Federal civilian and Defense. As General Manager, you’ll have significant autonomy to shape a more self-sufficient business by integrating Clarity’s federal engineering and modernization capabilities with MongoDB’s product and go-to-market teams, expanding our position in Defense, and establishing the partnerships, authorization strategy, talent, and operating discipline needed for sustained growth. MongoDB acquired Clarity Business Solutions to accelerate the modernization of government applications. Clarity is a federal-focused software and systems engineering firm with expertise in data analytics, data processing, and data flow. Its team combines technical delivery capabilities with experience navigating federal missions, procurement, and security requirements. You will shape how Clarity’s people and capabilities work alongside MongoDB by aligning strategy, customer engagement, delivery, and operating practices while preserving the specialized expertise federal customers rely on. MongoDB Atlas for Government’s achievement of FedRAMP Certified – Class D (formerly known as FedRAMP High) expands MongoDB’s ability to support high-impact government workloads, secure AI, and mission-critical modernization across cloud environments. This is an opportunity to build on customer trust and strong executive commitment, address significant unmet demand across government, and shape a business with the ambition and resources to become a meaningful growth engine for MongoDB. We are looking to speak to candidates who are based in Washington DC for our hybrid working model. What you will do Own the public-sector P&L, strategy, operating plan, and execution, with accountability for revenue, expenses, investment decisions, forecast quality, and overall performance. Establish executive-grade forecasting, pipeline inspection, P&L reviews, account and partner planning, talent reviews,

About the Team API Agents builds the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems that can reliably complete real work. We carry the capabilities behind Codex into a much broader set of products and workflows across software engineering, research, finance, healthcare, enterprise operations, and more. Our work spans search and connected context, computer use, memory, delegation and multi-agent coordination, and safe execution. Sitting at the intersection of Research, Codex, infrastructure, and applied product teams, we build reusable agent capabilities that compound across the ecosystem. About the Role We are looking for an experienced backend software engineer to build the core systems behind the next generation of agents. You will design reliable services and abstractions that help agents find the right context, use tools and computers, retain knowledge, coordinate over long-running workflows, and take action safely. The role combines deep backend and infrastructure work with strong product judgment, with opportunities to work across agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes from strong backend fundamentals, high agency, and the ability to turn fast-moving research capabilities into dependable production primitives. In this role, you will: Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products. Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration. Establish the foundations agents need to operate safely in production, including secure execution environments, identity and permissions, observability, evaluations, reliability, and cost and latency effi

We are looking to speak to candidates who are based in Sydney for our hybrid working model. Required Experience building and maintaining complex mission-critical production database systems (RDBMS or NoSQL). Coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc. Experience working with APIs and using it to integrate with 3rd party technologies and software in the areas of security and fraud, big data analytics and AI, healthcare, content management, IoT, database performance monitoring and management; financial services, healthcare services, telco etc. Solid hands-on experience with systems engineering, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting Experience analyzing and troubleshooting issues holistically, from the application tier through the database, down to storage Troubleshooting experience with TCP/IP networking stack on OS and Hypervisor Experience using or administering one or more cloud services stacks such as AWS, Azure or GCP Hands-on experience with administering and troubleshooting NAS, SAN, local storage, multi-pathing Experience building solutions involving application workloads and use cases. Preferred Experience using or managing MongoDB preferred Experience in one or more programming languages developing applications using a NoSQL or SQL database. Strong understanding of authentication systems such as LDAP, Kerberos, AD Experience using distributed version control systems, and in particular git Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators. Experience in working software product teams, and familiarity with product release processes from planning to release. Success Measures In 3 months, you’ll have gained a deep understanding of MongoDB and its partner ecosystem. You will complete New Hire Training. In 6 months, you will be comfortable working frontline w

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack. The Opportunity As Principal Storage Architect, you will define the high-performance storage architecture for Graphcore's AI computing and data center infrastructures. You will lead the design of local and distributed storage tiers that provide the throughput, availability, and predictable tail latency required for large-scale training and inference. Working within Advanced Architecture, you will address storage requirements for saving model states, offloading key-value caches, large datasets, and high-speed data-loading pipelines. You will combine hands-on performance engineering with Principal-level technical leadership across hardware, software, networking, systems engineering, automation, supply chain, and external technology partners. What You Will Do Define the end-to-end architecture and technology roadmap for local, disaggregated, and distributed storage across Graphcore AI server and data center platforms. Design storage topologies that optimize PCIe lane allocation, network-domain placement, and data paths among CPUs, AI accelerators, memory, and storage systems. Lead the architecture of storage control-plane and data-plane solutions, evaluating commercial and open technologies against performance, resilience, manageability, and lifecycle requirements. Profile and tune the Linux storage stack, block layer, I/O schedulers, direct I/O paths, file systems, and drivers to imp

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. 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. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable solutions by developing agent workflows, composing prompt and context strategies, MCP/connector and integration requirements, and evaluation criteria. Follow Micron's “Secure by Design”