Senior Engineering Director 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 Build the next generation of navigation systems for unmanned aerial vehicles. Mach is looking to build a tightly coupled navigation system to fuse GNSS, optical, and magnetic navigational aids to estimate vehicle pose. Key Responsibilities Develop sensor fusion algorithms to estimate pose of UAVs. Develop and integrate GNSS and LEO constellation navigational aids. Leverage optical techniques such as VIO to aid pose estimation. Characterize and integrate inertial sensors. Build algorithm validation tools and infrastructure. Required Qualifications Education: Bachelor's in Engineering, Physics, Mathematics. Experience: 1+ years of building and shipping Navigation solutions. Deep understanding of navigation sensors (i.e, IMU, GNSS receiver). Experience with modern software development tools (i.e, git, Jira). Experience with the implementation of embedded algorithms using C++. Experience with navigation error covariance propagation. Preferred Qualifications Experience with high altitude, monocular, SLAM. Experience with LEO constellation PNT. Experience with leveraging magnetometers for pose estimation. Experience with Aerospace systems. ITAR Requirements To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or natio

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 Support control design and evaluation for Mach’s fixed-wing aircraft. You’ll own your piece of the aircraft design, implementation, and validation of flight-critical control laws—spanning takeoff to landing—delivering robust performance across the full envelope. Key Responsibilities Design control systems within defined architecture and requirements for fixed-wing vehicles Design and implement control laws accounting for actuator limits, time delays, and sensor noise as part of the controls team Participate in system identification and aerodynamic model development from wind-tunnel, CFD, and flight-test data Execute verification & validation work: SIL/HIL campaigns, Monte Carlo, and flight-readiness criteria; communicate findings to the team and program leadership. Participate in flight-test planning and execution; analyze logs, tune controllers, and iterate safely and quickly. Learn from the controls team, carry your work through design/code reviews to meet roadmap goals and milestones. Required Qualifications Education: Bachelors in Engineering, Physics, Mathematics Experience: 0-5 years designing, analyzing and fielding flight control systems for fixed-wing aircraft or high-performance UAVs, including flight test. Deep knowledge of flight

Zoox is looking for a manufacturing test engineer to be responsible for manufacturing testing of our sensors and ECUs used in our autonomous vehicle. In this role, you will be developing automated tests for critical components, including but not limited to lidars, cameras, radars, telematics, HV modules, sensor pod accessories, etc. You will work cross-functionally with our electrical engineering and software teams to develop and test new products and technologies. We are looking for an engineer who is curious, enthusiastic, and not afraid to embrace new technologies! Ability to work independently as well as organize work around schedules and critical deadlines is a definite plus. In this role, you will: Build, release & support test solutions for use on the manufacturing lines at Zoox and at contract manufacturing partners Develop testing scripts to verify functionality, control test instruments, capture test parameters, and analyze results for continuous improvement Implement adequate test coverage across all phases of manufacturing (PCBA, module, system, vehicle) through collaboration with other teams Release updated test programs for new generations of hardware and software Establish best practices and drive continuous improvement on test deployment, runtime, and yield Qualifications: BS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree 5+ years of relevant experience Strong knowledge of Python and shell (bash) scripting Strong knowledge of testing and troubleshooting complex electronic assemblies in a manufacturing environment Experience in developing automated manufacturing tests on Linux. Ability to debug failures using commands in the terminal Experience working with contract manu

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