Senior Engineering Director Jobs

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have experience applying the latest technology and enhance delivery experiences for millions of users, we want to talk to you. The Drone Delivery team is focused on bringing the dream of fast, efficient, and delightful last-mile delivery through the air to life. As one of the leaders in this space, we believe in the promise of combining advanced robotics, aviation, and operational innovation to bring this high-flying technology into our 3-sided marketplace. We are a team focused on bringing our products and visions to market. About the Role We're expanding the drone team! We're looking for engineers passionate about leveraging UAV technology to reimagine logistics. This role focuses on developing and deploying state-of-the-art systems in real-world environments, transforming bold visions into practical solutions. If you're ready to push the boundaries of innovation, we’d love to connect. This position will report to Engineering Management within DoorDash Labs. You're excited about this opportunity because you will… Design and deploy software for advanced drone hardware, promoting autonomous flight capabilities and delivery operations. Work at the intersection of software, hardware, and robotics, building applications that run on a real-time capable robotics platform and interface with multiple drone sensors and actuators. Develop and integrate algorithms for onboard perception, sensor fusion, state estimation, and control using data from different drone sensors (e.g., IMU, GPS, camera, and lidar). Use ROS/ROS 2 to build modular robotic applications for autonomous navigation, obstacle avoidance, and payload management. Implement communication protocols to promote seamless data exchange between the drone, ground control stations, and cloud backend systems. Conduct rigorous testing and debugging of on-drone so

Experienced Low Observables Mission Systems Integration Engineer Company: The Boeing Company Come join a winning team and support the development of Boeing’s Next Generation Air Dominance (NGAD) platforms. The Boeing Defense, Space & Security (BDS) - Phantom Works organization is seeking a highly skilled and experienced Low Observables Mission Systems Integration Engineer to support an integrated product team in the design and integration of an advanced sensor for a next generation platform. The ideal candidate will have a strong background in low observable technologies and systems integration, with a focus on antennas, apertures, and radomes. This role requires technical leadership and collaboration across various engineering disciplines to ensure the successful integration of low observable sensors. Key Responsibilities: Lead the integration of a low observable sensor, ensuring compliance with design and performance requirements Collaborate with a cross-functional team to develop and implement integration strategies for a critical platform sensor Utilize computational electromagnetic solvers to analyze and optimize low observable designs Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation and excellence Oversee the design and integration of low observable sensors, ensuring alignment with program objectives and timelines Stay current with advancements in low observable materials and technologies, applying this knowledge to enhance system performance Basic Qualifications (Required Skills and Experience): ​ ​ Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Provide remote technical support to Field Operations Technicians during hardware installations, repairs, and maintenance, helping troubleshoot issues and ensure successful deployments. Monitor deployed hardware, investigate system alerts and device downtime, and troubleshoot issues to maintain reliable operations. Create and maintain standard operating procedures (SOPs), troubleshooting guides, and technical documentation to streamline deployment and support processes. Identify recurring issues and inefficiencies, develop solutions, and automate repetitive tasks to improve operational efficiency. Partner with software engineers to troubleshoot technical challenges, improve internal tools, and translate field feedback into actionable requirements. Help pilot new internal tools and workflows with Field Operations, gather feedback, and support continuous improvements. Experience 0–2 years of experience in a hands-on technical role, such as IT support, field service, electronics repair, hardware testing, or lab operations. Relevant internships, bootcamp training, and technical projects are welcome. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experie

Ignite your curiosity. Solve the unsolvable. At Leidos, we do more than write code—we decode the unknown. Our San Diego-based research and engineering team takes on some of the nation’s toughest defense challenges using advanced signal processing, ocean remote sensing, and high-performance computing. We’re seeking a Software Engineer / Computer Scientist who enjoys solving complex problems and pushing the limits of performance. In this role, you’ll work alongside a multidisciplinary team of scientists and engineers with expertise in hydrodynamics, physics, acoustics, and signal processing to build impactful software that turns massive, complex data sets into meaningful insight. If you are motivated by innovation, energized by collaboration, and excited to see your work support real-world missions, this could be the right opportunity for you. What You’ll Do Collaborate with scientists and engineers to design, develop, and optimize advanced algorithms for next-generation radar, optical, and infrared sensor systems. Build scalable, high-performance backend systems for scientific computing in distributed environments. Integrate, refactor, and improve scientific codebases to increase efficiency and scalability. Translate and optimize existing code for GPU/CUDA acceleration and parallel or distributed execution. Test, document, maintain, and enhance complex software in Linux/Unix environments. Contribute in a collaborative environment that values technical excellence, creativity, and continuous growth. Required Qualifications Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related field with 4+ years of backend software development experience, or a Master’s degree with 2+ years of experience. Equivalent experience may be considered in place of a degree. U.S. citizenship and the ability to obtain a Top Secret clearance; active Top Secret clea

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

What we’re doing isn’t easy, but nothing worth doing ever is. Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors. We are hiring a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team at the intersection of our Customers, Remote Operations Center (ROC), and Engineering. This is a highly technical, hands-on role focused on building the infrastructure that powers how we detect, triage, diagnose, and resolve issues across a deployed robotic fleet. You will work deeply with Engineering teams to design classification frameworks, build internal tools, and develop automation pipelines that improve reliability at scale. Location: Austin preferred, Remote possible (U.S.) Travel: if remote up to ~50% travel to Austin, TX (especially in the your first 90 days) What You’ll Do: Own Issue Management & Triage Systems Design and own end-to-end systems for issue intake, triage, and escalation. Define severity frameworks, SLAs, and ensure issues are consistently structured for engineering prioritization. Build Tools & Automation (Hands-On) Develop automation and pipelines to ingest, process, and classify operational data, reducing manual triage effort. Contribute directly to codebases (Python, backend services) and partner with Engineer

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. Job Summary As a Data Scientist at Micron, you will employ techniques drawn from mathematics, statistics, and information technology to uncover patterns in data, drive predictive models, and develop actionable solutions for advanced semiconductor manufacturing. Your primary focus will be to support Process Integration and Process Engineering teams to enhance product yield and improve process variation. You will interact closely with multi-functional process areas to solve manufacturing line problems and conduct root cause analysis. In this position, you will help develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources—such as inline, param, and probe data—translating them into insights that directly improve process capability and device yield. Key Responsibilities Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operati

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a TPM to drive development and integration of a range of sensor systems for robotics. This role will drive cross-functional alignment across requirements, engineering design, integration, validation, manufacturing, supply chain, and release processes, helping turn complex sensor-system needs into clear plans, decisions, and milestones. Location and in-person expectations: This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: Drive requirements alignment across engineering design, integration, testing, and validation for camera modules, LiDAR, IMUs, RADAR, proximity sensors, audio components and the systems they interact with. Coordinate the integration of modules including electrical, mechanical, harnessing, and software interfaces with the full robotic system with deep understanding of timelines to drive the respective PCBAs, enclosures, build and test fixtures, connectors and cables. Establish effective cadences for technical reviews, BOM readiness, change management, production releases, approvals, and decision tracking. Align harnesses, fasteners, assembly fixtures, test fixtures, and documentation so cross-functional teams can execute against a clear plan. Lead validation planning around functional, reliability, NVH failure modes, including testing needs, schedules, and exit criteria. Partner with manufacturing and supply chain to manage handoffs, lead times, dependencies, and production readiness. Drive tradeoff decisions across cost, qua

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

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As Chief of Staff for Nuro Driver, you will play a critical role in driving strategic programs, improving execution, and helping refine the Autonomy Product that powers Nuro’s commercial partnerships and deployment roadmap. Nuro Driver encompasses Autonomy, Controls, Embedded Software, Sensor Data & Calibration, and Systems Engineering, Technical Program Managers - the core technical functions responsible for developing, integrating, tuning, validating, and scaling the Nuro Driver. Reporting to the VP of Nuro Driver, you will operate as a trusted proxy and execution partner, working across internal engineering teams, company leadership, and key external partners to bring clarity, structure, and momentum to Nuro’s most important technical and business priorities. This role requires strong strategic judgment, technical fluency, operational rigor, and executive-level stakeholder management. You will help translate complex

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring a Firmware Validation & Integration Engineer for our autonomy software team. This is a critical role to build robust and scalable validation for our firmware and systems to ensure reliability at every level. In this role, you will work with our electrical, firmware, and autonomy engineers to build the infrastructure and test suites required to validate the system. This includes designing and implementing our Hardware-in-the-Loop (HIL) simulation environments and automation frameworks from the ground up. You will report to the Autonomy Platform Lead on our Autonomy Platform Team at DoorDash Labs. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Play an integral role on a small and focused team. Design and build Hardware-in-the-Loop (HIL) systems to simulate vehicle dynamics and sensor data for comprehensive firmware and system-level validation. Develop automated test infrastructure and software tools to exercise multiple embedded platforms throughout our robot system. Interface many layers of our control system including vehicle controls, power management, and motion control to ensure seamless system integration. Implement low-level test sequences and validation algorithms to safely stress-test vehicle components such as batteries, drive-train, and thermal management devices. Collaborate with cross-functional teams to identify edge cases and hardware-software corner cases that impact vehicle safety and performance. We’re excited about you because… BS/MS degree in Computer Science, Robotics, Electrical Engineering, or related technical field. 5+ years of experience in validati

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. Job Summary As a Data Scientist at Micron, you will employ techniques drawn from mathematics, statistics, and information technology to uncover patterns in data, drive predictive models, and develop actionable solutions for advanced semiconductor manufacturing. Your primary focus will be to support Process Integration and Process Engineering teams to enhance product yield and improve process variation. You will interact closely with multi-functional process areas to solve manufacturing line problems and conduct root cause analysis. In this position, you will help develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources—such as inline, param, and probe data—translating them into insights that directly improve process capability and device yield. Key Responsibilities Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operati

Tactical RF Sensors Subsystem Lead Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Tactical RF Sensors Subsystem Lead Engineer to be the lead for sensor subsystem in Berkeley, MO , supporting a proprietary Air Dominance Fixed Wing program . You will be joining a fast-paced program where you will be responsible for developing and integrating complex, highly integrated, radio frequency (RF) sensor systems. In this role, you will be joining a cross-functional team integrating next generation capabilities as part of a very exciting and critically important development effort. Your role will be to oversee and coordinate the work of a team of engineers throughout the various stages of the program development life cycle. You will have the opportunity to operate in an agile development environment to mature our products, work on next generation open-architecture model-based designs, and to collaborate across multiple disciplines. The day-to-day activities of this position will be a combination of traditional design engineering, coordinating the daily activity of the engineering team, overseeing and approving technical work, collaborating with cross-functional peers, and presenting technical challenges and solutions to leadership. Frequent interaction with program leadership, customers, and industry partners during critical design phases will be key elements of this position. This position will provide the candidate an opportunity to develop their engineering skills with potential growth into a leadership role. Position Responsibilities: Coordinates the daily activity of an engineering team using agile toolsets (JIRA, Confluence, etc.) Provides technical

Tactical RF Sensors Subsystem Lead Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Tactical RF Sensors Subsystem Lead Engineer to be the lead for sensor subsystem in Berkeley, MO , supporting a proprietary Air Dominance Fixed Wing program . You will be joining a fast-paced program where you will be responsible for developing and integrating complex, highly integrated, radio frequency (RF) sensor systems. In this role, you will be joining a cross-functional team integrating next generation capabilities as part of a very exciting and critically important development effort. Your role will be to oversee and coordinate the work of a team of engineers throughout the various stages of the program development life cycle. You will have the opportunity to operate in an agile development environment to mature our products, work on next generation open-architecture model-based designs, and to collaborate across multiple disciplines. The day-to-day activities of this position will be a combination of traditional design engineering, coordinating the daily activity of the engineering team, overseeing and approving technical work, collaborating with cross-functional peers, and presenting technical challenges and solutions to leadership. Frequent interaction with program leadership, customers, and industry partners during critical design phases will be key elements of this position. This position will provide the candidate an opportunity to develop their engineering skills with potential growth into a leadership role. Position Responsibilities: Coordinate the daily activity of an engineering team using agile toolsets (JIRA, Confluence, etc.) Provide technical l

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. Responsibilities include, but are not limited to · Responsible for the architecture, design, implementation, and validation of analog and mixed-signal circuits used in NAND Flash across the complete design lifecycle. · Design and develop circuits such as charge pumps, amplifiers, voltage regulators, data converters (ADC/DAC), bandgap references, sensor interfaces, and power-management blocks. · Translate system-level requirements into detailed circuit specifications, architectures, schematics, verification plans, and clear design documentation. · Perform transistor-level design and optimization to meet performance, power, area, noise, and reliability targets. · Conduct DC, AC, transient, noise, Monte Carlo, and corner simulations to verify functionality and robustness across process, voltage, and temperature variations. · Validate block- and chip-level design performance using standard industry simulators, including evaluation of parasitic effects and integration quality. · Participate in cross-functional evaluation of key NAND features and collaborate with Product Engineering, Test, Probe, Process Integration, Assembly, and other partner teams. · Analyze design and silicon issues, drive root-cause analysis, and implement robust corrective actions. · Coordinate technical activities for a small team when required, including design reviews, execution tracking, and knowledge sharing. · Deve