Systems Engineering Jobs

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 US Construction Engineering department is responsible for the design and construction efforts for high-tech, large-scale projects for Micron in the US. Current high-profile projects include the design and construction of two high-volume manufacturing fabs in Boise, ID1 and ID2, and a third fab in Clay, New York. We are seeking an experienced Chemical Systems Engineer to oversee the third-party design of chemical delivery and handling systems for high-tech large-scale construction projects. The Chemical Systems Engineer will manage external design firms, ensuring that chemical systems meet stringent project specifications, safety standards, and regulatory requirements. This role requires deep technical expertise in chemical systems, strong project management skills, and effective collaboration with multidisciplinary teams to deliver safe, efficient, and compliant systems for semiconductor manufacturing. Job Responsibilities: Manage third-party design firms in developing chemical delivery and handling systems, including storage, distribution, and hazardous waste management. Coordinate with external and internal stakeholders—including contractors, vendors, procurement, finance, construction and design teams—to ensure alignment with facility needs and project schedules. Ensure seamless integration of third-party designs with facility systems using Building Information Modeling (BIM) tools like Revit and Navisworks. Review capacity plan

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 Flight Test Engineer to support the planning, execution, and analysis of ground and flight testing for autonomous aircraft and related systems. This role works closely with design engineering, systems engineering, manufacturing, and Flight Operations to translate technical requirements into safe, executable tests. The Flight Test Engineer will develop test procedures, configure instrumentation, support test execution, evaluate results, and document whether test objectives were achieved. This is an entry-level role intended for an engineer who has strong technical fundamentals and wants to develop hands-on experience testing rapidly evolving aerospace systems. Key Responsibilities Test Planning and Development Translate system and subsystem requirements into measurable test objectives. Develop ground-test and flight-test procedures. Write test cards, test plans, and supporting readiness documentation. Define success criteria and identify the data required to evaluate them. Develop test matrices that account for configurations, conditions, and operating limits. Support the design of subsystem, integration, and vehicle-level tests. Coordinate test requirements with engineering and Flight Operations personnel. Test Readi

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 an Operational Performance Engineer to build and maintain vehicle mass properties and vehicle-level performance tracking across multiple programs. You will be responsible for mass, center of gravity, and inertia for every supported vehicle, manage subsystem mass budgets, and ensure each vehicle's mass properties close against its requirements. You will also maintain the broader vehicle performance picture across aerodynamics, propulsion, power, range, endurance, and payload, so that Vehicle Leads and engineering teams always have an authoritative, current answer to where the vehicle stands. Scope and autonomy in this role scale with experience; you will begin by establishing mass properties on a single weight-critical program and grow into broader ownership across programs. For weight-critical vehicles, mass properties is a full-time fight. You will safeguard the CG envelope and moment of inertia requirements as design trades are made and the vehicle is laid out, report weekly status and trends by subsystem, and evaluate the impact of actual part weights before build and flight. For smaller vehicles, you will provide the same rigor scaled to program maturity. Beyond mass properties, you will maintain performance baseli

About the Role Systems Technology, Inc. (STI) is seeking a Perception & Guidance Engineer - UAS to join our Aerospace division, developing the vision-based targeting and terminal guidance algorithms behind our next-generation counter-UAS and interceptor platforms. You'll own the pipeline from raw camera frames to steering command — writing detection and tracking algorithms, building state estimation, and translating that into guidance laws that fly. This role sits at the center of our seeker and interceptor programs, working closely with embedded and systems engineering to get algorithms from bench to flight. What You'll Do Design and implement detection and tracking algorithms for dual-camera, gimbal-free visual seeker systems Develop state estimation for target position, velocity, and confidence from visual sensor data, with an eye toward future sensor fusion (IMU, GPS, radar) Design and tune guidance laws (e.g., proportional navigation and variants) for terminal-phase target intercept Work with embedded engineers to ensure algorithms run in real time on size-, weight-, and power-constrained flight hardware (e.g., ModalAI VOXL 2 Mini class compute) Define and validate the interface between perception/guidance outputs and downstream flight control and mission systems Support hardware-in-the-loop and software-in-the-loop simulation to characterize algorithm performance before flight Participate in flight testing, telemetry analysis, and post-flight debugging of guidance performance Collaborate with GNC engineers to ensure guidance outputs are compatible with flight control system assumptions Maintain code quality through version control, code review, and structured testing practices Minimum Qualifications 2–4 years of professional experience in computer vision, guidance/navigation algorithms, or closely related controls/estimation work Proficiency in Python and/or C++ for algorithm development Working knowledge of computer vision fundamentals (detection, trackin

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. Develop and deploy transformative, model‑based solutions to improve frontend yield, quality, and technology ramp performance. Apply virtual structure modeling, process simulation/emulation, and advanced analytics to understand sophisticated lithography‑film‑etch interactions and prescribe actionable process solutions. Leverage AI and data‑driven techniques to accelerate yield learning, process window characterization, and integration optimization. Collaborate with PIE, Process/Equipment, Metrology, and SMAI , and other cross‑functional partners to design, validate, and deploy solutions into manufacturing. Drive solution deployment across sites, including technology transfer and ramp support. Maintain strong engagement in research and development , continuously evaluating emerging modeling, simulation, and AI methodologies for semiconductor manufacturing. Contribute to knowledge sharing, technical mentoring, and capability building within the FE engineering community. Requirements / Qualifications Education Master’s or PhD in Electrical Engineering, Computer Engineering, Industrial & Systems Engineering, Mechanical Engineering, Chemical Engineering, Materials Engineering, Applied Statistics, Applied Mathematics, Operations Research , or other relevant engineering/science fields. Experience More than 5 years of working experien

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We're looking for an APAC Technical Support Engineer based in Australia to join our global Support Engineering team. This role is designed to overlap with our San Francisco headquarters; Monday thru Friday 9AM-5PM AEST. We are architecting the Technical Support engine . We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators . You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. In this role you will Master the Sentry Ecosystem & Support Elite Developers Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes archite

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity As a Systems Engineering Intern, you will contribute to projects that combine hardware, firmware, and software engineering for advanced AI compute platforms. You will work with experienced engineers on subsystem design, laboratory testing, system validation, automation, and performance analysis. The internship provides hands-on experience with modern hardware development and system-level engineering. You will own clearly defined technical tasks with guidance from the team and document your methods, results, and conclusions. What You Will Do Support the design and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Run laboratory tests and measurements to help evaluate performance, power, signal behavior, and reliability. Contribute to system-level validation by creating scripts and tools that streamline testing, data collection, and analysis. Explore emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and learn how they support advanced computing workloads. Assist with investigations into platform power, cooling, and energy efficiency, including liquid-cooling systems for high-performance processors. Use power meters, oscilloscopes, logic analyzers, or comparable lab equipment under appropriate supervision. Analyze test results, identify unexpected behavior, and work with engineers to reproduce and investigate issues. Collaborate across hardware, firmware, software, m

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Controls Network Engineer, you will design, validate, and scale the controls and OT network architectures that support high-density AI data centers. You will work across controls systems, OT infrastructure, telemetry, commissioning, deployment, and operations, partnering with mechanical, electrical, IT/networking, security, and external delivery teams. About the Role We are seeking a mid to senior OT Network Engineer with a strong controls systems background to lead the design and operation of resilient, secure, and scalable OT network architectures for high-density AI data centers. This role translates compute, power, cooling, and operational requirements into practical OT network designs, evaluates vendor solutions, and drives technical decisions across controls infrastructure, telemetry, commissioning, and operations. The ideal candidate has strong hands-on experience in mission-critical OT environments, including industrial networking, virtualized infrastructure, and OT network operations, with expertise in routing, switching, segmentation, firewall policy, time synchronization, monitoring, and network lifecycle support. Key Responsibilities Define controls, automation, and OT network requirements for AI data center campuses. Develop reference architectures, engineering standards, and reusable design templates. Review and develop basis-of-design and functional design documents, including OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements. Design OT and infrastructure network architectures, including physical topology, logical topology, IP addressing, subnetting, VLA

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities as Facilities Engineer: The Facilities UPW/WW Engineer provides engineering support to oversee, plan and ensure proper operations and maintenance of the Ultra-Pure Water (UPW) and Wastewater (WW). systems. He/She is expected to troubleshoot and respond to issues and interruptions of the systems. Handle and execute Ultra-Pure Water and waste water treatment systems engineering projects including upgrades, retrofits, expansion and maintenance. This position will provide you with valuable exposure to the technology, allowing you to develop skills and knowledge that will be beneficial for your career growth and provide accelerated training in a fast-paced work environment and cross functional working opportunities. Responsibilities Plan, coordinate and supervise day-to-day operations and maintenance of the Ultra-Pure Water (UPW), Wastewater Treatment Plant (WWTP), Local Scrubber Recycling system (LSR) and other water treatment systems to maintain maximum equipment uptime and reliability. Coordinate and liaise with contractors/vendors to implement corrective maintenance (CM) and preventive maintenance (PM) programs. Study, plan and execute engineering projects and engineering solutions including u

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are seeking a highly motivated V&V software development engineer in test (SDET) to join this systems-engineering department. As a V&V SDET, you will be a technical lead, owning the end-to-end validation strategy for critical safety systems while architecting and implementing the advanced software infrastructure required to verify them. This role is coding-intensive, focused on building solutions for high-fidelity testing, scalable automation frameworks, and sophisticated data analysis tools to ensure successful compliance to requirements and mission success. Some examples of tools this role supports: Framework for event definition, orchestration, and verification High-performance C++ and Python-based emulators for vehicle sensors (e.g., Radar, Lidar, and Inertial Measurement Units) to enable realistic, real-time fault injection Robust communication bridges between simulation environments and physical vehicle hardware Automating test management and reporting within lifecycle management tools, e.g. Polarion, JAMA, DOORS. In this role, you will: Lead the design and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication. Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites. Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metr

About the Team The DoorDash Air team is bringing drone delivery to reality. To make this happen, we’re building a strong electrical team to design high reliability, high power density converters, and fault-tolerant controls electronics. Come join us to build a new class of aircrafts and deploy at scale. DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role As the Product Manager Airspace & Autonomy for DoorDash Air’s Airspace and Autonomy capabilities, you will own the end-to-end product strategy for the software, services, autonomy, perception, human interfaces and related capabilities required to deploy autonomous drone delivery at scale. You will connect DoorDash’s order and logistics platform with the aircraft, autonomy stack, mission-planning services, UTM capabilities, fleet-management tools, and operator workflows that execute each delivery. You will define how an order moves from merchant readiness through dispatch, airspace validation, autonomous flight, delivery, and completion within the broader DoorDash marketplace, ensuring that new features align to DoorDash Air’s roadmap across teams while balancing execution timelines against technical debt. You will lead product direction across autonomy, aviation software, services, hardware, systems engineering, flight operations, UTM, safety, regulatory, data, and DoorDash platform teams. You will work closely with the Head of UTM and senior En

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Project Title: AI-Enabled Quality Engineering Transformation for Semiconductor Manufacturing Project Description Develop quality engineering expertise in semiconductor manufacturing through analytical problem-solving, statistical analysis, quality systems, process characterization, and risk management. The intern will undertake a structured AI-Enabled transformation project to improve productivity, workflow efficiency, data visibility, and engineering decision-making for contamination control, incoming quality control, and/or chemical laboratory analysis. The project will provide practical exposure to industrial data analytics, Artificial Intelligence, automation, visualization, and cross-functional engineering collaboration. Objective of the Project Analyze a defined quality engineering workflow and identify opportunities to improve productivity, efficiency, and decision-making. Develop an AI-Enabled, automation, or digital solution addressing a real engineering challenge. Evaluate the solution using appropriate technical, quality, usability, and business-impact criteria. Build practical knowledge of quality systems, statistical methods, process characterization, and risk managem

Leidos is seeking a Principal Enterprise Voice Engineer to lead engineering, sustainment, maintenance, and operational support of enterprise IP voice and video communications. This position requires extensive experience with enterprise unified communications, SIP signaling, call routing, network infrastructure, cybersecurity, and voice service interoperability. The engineer will collaborate with network, cybersecurity, systems engineering, and operations teams to ensure secure, reliable, and uninterrupted voice services. The engineer will provide technical direction, review engineering designs and change packages, resolve complex escalations, and mentor less-experienced engineers. This is a senior technical position without formal supervisory responsibilities. Primary Responsibilities Enterprise Voice Architecture and Engineering Serve as the senior technical authority for enterprise IP voice and video infrastructure. Lead the design, engineering, modernization, and technical implementation of Cisco, Avaya, Oracle, and associated voice technologies. Establish engineering standards, architecture requirements, configuration baselines, and technical implementation strategies. Review and approve complex engineering designs, system configurations, and technical solutions to ensure performance, security, scalability, and resiliency. Evaluate emerging technologies and provide modernization, lifecycle management, and capacity planning recommendations. Enterprise Networking and Voice Integration Provide technical leadership for integrating enterprise voice services across routing, switching, WAN, firewall, and security infrastructure. Direct engineering solutions involving SIP signaling, media services, call routing, carrier interconnections, and multi-vendor interoperability. Lead technical assessments of IPsec, MPLS VPN, BGP, and QoS i

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 Memory Systems Engineering team develops the digital and mixed-signal foundation that enables Micron's High Bandwidth Memory (HBM) products. The team works across architecture, PHY, design verification, DFT, and silicon validation functions to deliver innovative memory solutions that achieve demanding performance, power, and reliability targets. In this role, y ou'll receive mentorship from expert engineers while building expertise in sophisticated memory technologies. You will also contribute to the definition, implementation, integration, and validation of HBM base-die digital subsystems. You will collaborate with cross-disciplinary engineering groups to develop robust RTL solutions, support verification activities, and help ensure successful first-pass silicon execution. This position provides an opportunity to gain broad exposure to memory system design, silicon development methodologies, and AI-enabled engineering workflows. Responsibilities Define and implement digital micro-architecture for HBM base-die subsystems, including channel support logic, boot and initialization sequencing, training orchestration, configuration and status registers, telemetry, performance monitoring, and reliability features. Translate system requirements into timing, power, and area objectives while partnering with physical layer and system architects; develop and maintain interface specifications for bus protocols, clock-domain crossings, and reset architectures. Develop, integra

About the Team pAGI Infra team builds and operates the systems that make large-scale model training and evaluation reliable, efficient, and easy to run. Our work spans distributed training infrastructure, inference and grading platforms, compute scheduling, and research tooling. We partner closely with researchers and engineering teams to turn new research needs into dependable infrastructure, improve GPU efficiency, and shorten the path from an experiment to a validated model. About the Role We’re looking for an AI Systems Engineer to help scale the infrastructure behind our training and evaluation workflows. You’ll own projects from identifying bottlenecks and designing solutions through deployment and operation. The work combines distributed systems engineering, performance optimization, and close collaboration with researchers. You might build a shared grading service, improve resource allocation across workloads, or bring a new training stack into production — directly improving how quickly and reliably research moves forward. In this role, you will: Build and operate infrastructure for large-scale training and evaluation, improving reliability, throughput, and resource efficiency. Develop shared inference and grading platforms with automated capacity management, health monitoring, and visibility into performance. Improve compute scheduling and resource allocation to reduce idle GPU time and help workloads recover quickly from failures. Diagnose bottlenecks across training, inference, and orchestration, and work across teams to improve end-to-end performance. Build self-service tools, automated validation, and observability that help researchers launch experiments, diagnose issues, and compare results with less manual intervention. You might thrive in this role if you: Are excited about the potential of personal AGI and want to build the infrastructure that enables it. Have strong software engineering fundamentals and experience building or operating large-scal