Senior Engineering Director Jobs

General program information and/or position overview: Leidos’ Undersea Systems Division is seeking a QA/QC Manager in San Diego, CA to join a fast-paced R&D engineering group. This role is a unique opportunity to drive innovation in underwater vehicle systems, maritime sensors, subsea telemetry, and ISR solutions that support critical defense and national security missions at Naval Information Warfare Center, Pacific (NIWC PAC). Leidos’ USD is a recognized leader in C4ISR technologies, delivering innovative, mission-critical solutions across sensor networks, unmanned systems, and tactical platforms. We’re known for achieving “industry firsts” in the most challenging maritime domains. The selected candidate will be part of an elite, top-notch group and will be responsible for establishing, documenting, and enforcing a Quality Management System (QMS) across a multi-disciplinary project that integrates specialized sensor payloads into unmanned systems. This individual will bridge the gap between rapid Research & Development (R&D) cycles and disciplined, repeatable low-volume production requirements within a demanding Navy laboratory environment. The successful candidate must operate as an architect of process—able to assess current workflows, identify critical risk points (technical, procedural, and regulatory), and develop comprehensive Standard Operating Procedures (SOPs) and Quality Assurance plans that ensure both mission compliance and scalability under extremely aggressive timelines. Join us and be part of a world-class team delivering unmatched solutions for today's most pressing maritime missions. This position will require the candidate to maintain a Secret Clearance. This position will require the candidate to work onsite at NIWC Pacific on a 9/80B schedule (80 hours of work into nine days over a two-week period, allowing for every other Friday

The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni

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. Role and Responsibilities Responsible for Design and development of critical analog, mixed-signal, custom digital block, and full chip level integration support. Perform layout verification like LVS/DRC/Antenna, quality check and support documentation. Responsible for on-time delivery of block-level layouts with acceptable quality. Demonstrate leadership skills in planning, area/time estimation, scheduling, and execution to meet project scheduling multiple project environment. Contribute to effective project-management. Effectively communicating with Global engineering teams to assure the success of layout project. Qualification/Requirements 8 to 15 years' experience in analog/custom layout build in advanced CMOS process, in various technology nodes (Planar, FinFET ) Expertise in Cadence VLE/VXL and Mentor Graphic Calibre DRC/LVS is a must. Should have hands on experience in creating layout of critical blocks such as Temperature sensor, PLL, ADC, DAC, LDO, Bandgap, Ref Generators, Charge Pump, Current Mirrors, Comparator, Differential Amplifier etc., Good understanding of Analog Layout fundamentals (e.cg., Matching, Electro-migration, Latch-up, coupling, crosstalk, IR-drop, active and passive static device parasitics etc.) Understanding layout effects on the circuit such as speed, capacitance, power and area etc. Ability to understand build constraints and implement high-

About the Role We're looking for a Hardware Systems Engineer to own system-level architecture across electrical, mechanical, firmware, sensor, and compute subsystems – decomposing platform requirements into verifiable specs for power distribution, motion control, embedded compute, sensor suites and communication buses (CAN, Ethernet, etc.). You'll drive requirements traceability, interface control documents (ICDs), trade studies, and verification and validation (V&V) plans that ensure subsystems built by separate EE, ME, firmware, and perception teams function as one safe, reliable delivery robot. You’re excited about this opportunity because you will… Own system-level architecture across electrical, mechanical, firmware, sensor, and compute subsystems for autonomous delivery platforms. Decompose platform requirements into verifiable specs for power distribution, motion control, embedded compute, and sensor suites. Drive requirements traceability, ICDs, trade studies, and V&V plans across EE, ME, firmware, and perception workstreams. Define fault-tolerant architectures (FMEA, fault trees, redundancy) governing system behavior during component failures. Lead cross-functional root-cause debugging across hardware, firmware, and software boundaries, conducting design and safety reviews. Translate business and regulatory requirements into engineering specs in collaboration with Product, Safety, Legal, and Operations. We’re excited about you because… B.S., M.S., or Ph.D. in EE, ME, Computer Science, Systems Engineering, Robotics, or a related field 8+ years of experience building, testing, and validating mechatronics or sensor-equipped hardware in robotics, automotive, or aerospace. Strong expertise in embedded systems architecture, vehicle mechanicals, electronics, and autonomous perception systems. Demonstrated ability to perform cross-boundary debugging across hardware, firmware, and software layers. Ability to evaluate complex trade-offs, identify failure mode

IoT Hardware Engineer Build the Future of Smart Connected Devices Join our growing team as an IoT Hardware Engineer and work on exciting IoT solutions that combine electronics, embedded systems, and smart technologies. We are looking for a passionate, hands-on engineer who enjoys designing, building, testing, and improving real-world connected devices. Key Responsibilities: Design, develop, and prototype IoT devices using ESP32 microcontrollers. Develop and integrate firmware, hardware components, and embedded systems. Select and evaluate sensors, actuators, communication modules, and electronic components for IoT applications. Participate in hardware design reviews and product improvement discussions. Assemble, test, and debug electronic prototypes for performance and reliability. Troubleshoot hardware and software issues using professional debugging techniques. Required Skills & Experience: ITI, Diploma in IT Hardware Engineering, Computer Engineering, Electronics, or related field (highly preferred). Strong experience in programming and working with microcontrollers, especially ESP32. Experience with embedded platforms such as ESP32, STM, and similar systems. Knowledge of sensor interfacing using I2C, SPI, UART, and other communication protocols. Excellent PCB soldering skills and experience building complex electronic prototypes. Strong understanding of electronics fundamentals including resistors, voltage levels, power management, and circuit design. Ability to use testing tools such as oscilloscopes and logic analyzers for debugging circuits. Preferred Skills: Experience with KiCad or other hardware design tools. Knowledge of low-power design techniques for battery-operated IoT devices. Understanding of power optimization and embedded system efficiency. Familiarity with Agile development methodologies. Who We’re Looking For: A creative and skilled IoT enthusiast who loves turning ideas into working hardware products. If you enjoy experimenting with e

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. Job Description : Maintenance and development of the Facility Monitoring and Control System (FMCS). Handling and analyzing common industrial communication issues at job sites (e.g., BACnet, Modbus, TCP/IP). Coordinating with PLC/SCADA vendors or equipment suppliers on point mapping, control permissions, and data format planning. Assisting with sensor expansion planning (e.g., temperature, flow, power) and providing recommendations for related circuit modifications Collaborate with internal and external stakeholders to ensure positive outcomes for projects and services. Support the installation, maintenance, and repair of monitoring and control equipment. Serve as a resource for engineering and operations. Maintain FMCS databases and data pipelines to ensure stable and reliable data sources for AI functions. Requirement Bachelor's degree or higher in Electrical, Electronic, Control Engineering, or a related field. Practical experience in industrial automation, equipment communication, or system integration Ability to independently troubleshoot on-site communication and system integration issues Good English reading, writing and speaking skills, able to communicate effectively with international teams and clients. Skill Set Experience in PLC/SCADA system integration Industrial communication protocols: BACnet, Modbus, OPC Basic concepts of TCP/IP networking Proficiency in PLC and SCADA programming. Ability to read control di

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About our Team: Micron’s Industrial and Physical AI team is driving the transformation of semiconductor manufacturing through Autonomous Operations, AI, robotics, and digital twin technologies! We develop and deploy innovative solutions across Micron’s global fabrication and assembly/test facilities, enabling smarter, safer, and more efficient operations at scale. Position Overview: We are seeking a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications that support Micron's Autonomous Operations initiatives. This role owns the end-to-end development lifecycle, from data pipelines and AI models to APIs, web applications, digital twin integrations, and cloud/edge deployments, delivering impactful solutions for engineers, operators, and business leaders worldwide. Responsibilities: Design, architect, and deliver end-to-end AI products, including data ingestion pipelines, feature engineering, model training/inference, APIs, user interfaces, and application monitoring. Build and maintain modern front-end applications using React, Angular, or Streamlit, supported by backend services in Python and FastAPI. Develop scalable integrations between manufacturing systems, robotics platforms, AMRs, sensor networks, and enterprise applications to enable intelligent factory operations. Design and implement digital twin environments using platforms such as NVIDIA Omniverse, Gazebo, or Unity Robotics Hub to support simulation, validation, and o

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. Department F10 Manufacturing, Photolithography Project Title Internet of Things-Based Photolithography Equipment Monitoring and Anomaly Detection Project Description The intern will undertake a structured engineering project focused on developing an Internet of Things-based solution for photolithography equipment and process monitoring. Under the guidance of experienced engineers, the intern will study photolithography equipment behaviour, process flow, and available sensor signals. The intern will apply Python programming, data analytics, system integration, and selected Machine Learning techniques to develop or enhance a defined monitoring use case. The project will provide practical exposure to semiconductor manufacturing equipment, Internet of Things architecture, data ingestion, signal processing, visualization, and AI-Enabled anomaly detection. Project activities will be limited to the assigned use case and conducted with appropriate engineering guidance. Objective of the Project Develop a strong understanding of photolithography equipment behaviour, process flow, and process signals. Design and implement an Internet of Things-based solution for enhanced equipment or process monitoring. Ena

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. 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 operations. Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction strategies. Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and

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. 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 operations. Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction strategies. Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and

Role Overview We are seeking a Staff Simulation Engineer to build an end-to-end aerial autonomy simulation stack at DoorDash Labs. This is a highly technical, hands-on leadership role focused on defining and implementing the simulation architecture that underpins autonomy development, validation, CI/CD testing, and pilot training. You will operate as the technical authority for simulation: owning core architecture decisions, developing key components yourself, and setting engineering standards. You will build and mentor a small, high-caliber simulation team while remaining deeply involved in implementation and system design. This role is ideal for someone who has built simulation systems from first principles, understands simulator internals deeply, and is excited to create a world-class platform from scratch. Key Responsibilities Architect and implement an end-to-end simulation stack for aerial autonomy at DoorDash Labs.. Develop high-fidelity simulation capabilities, including: Flight dynamics modeling Contact modeling and constraint handling Sensor and perception simulation Autonomy software-in-the-loop (SITL) integration Design and implement scalable simulation infrastructure to support: Regression testing in CI/CD pipelines Continuous validation of flight autonomy and autopilot software stack Mission-level testing and scenario generation Build cloud-deployed simulation systems to enable large-scale parallel testing and pilot training. Partner closely with autonomy, controls, and aircraft teams to ensure simulation fidelity and validation alignment. Establish technical direction, architecture standards, and performance benchmarks for simulation. Mentor and grow a small team of simulation engineers while remaining deeply hands-on. Required Qualifications Master’s or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related field. 10+ years of experience in robotics or physics-based simulation. Deep expe

What we’re doing isn’t easy, but nothing worth doing ever is. We envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Join our mission-driven team as we build out current and future generations of robots. As an ML Engineer, Manipulation, you will develop and deploy learning-based manipulation systems that enable mobile robots to interact reliably with the physical world in dynamic human environments. You’ll build perception-to-action models, training datasets, evaluation tooling, and deployment pipelines that improve robustness, generalization, and safety for real-world manipulation tasks at scale. Your work will directly impact the robot’s ability to perform complex interactions consistently across real sites with minimal special-case engineering. Responsibilities Develop learning-based manipulation models for end to end sensor-driven interaction (e.g., reaching, motion generation, and execution in dynamic environments). Build and maintain manipulation training pipelines: dataset creation from robot logs/teleop, action representations, augmentation, and distributed training. Design evaluation metrics and regression tests that quantify manipulation reliability, recovery behavior, and safety in real environments. Develop sim-to-real workflows for manipulation learning, including simulation environments, domain randomization, and failure-mode testing. Optimize and distill models for edge deployment; benchmark latency, memory use, and stability on target hardware. Partner with the AI platform team to integrate policies with control and safety systems, and validate end-to-end performance on robots. Analyze field performance, identify dominant failure modes, and drive iterative improvements through data collection and targeted retraining. Basic Qualifications Bachelor’s or Master’s degree in Robotics, Computer Scienc

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