Embedded Software Senior Engineer/Autonomy/AI/Machine Learning

WHAT WE'RE DOING

Define the future of aviation. Stand at the forefront of technology and innovation. Transform your ideas and dreams into reality. Join Lockheed Martin's Flight Controls and Autonomy team and be part of the greatest transformation in aviation history; unmanned fully autonomous flight.

THE WORK

• Design, analyze, optimize, lab test and system level integrate software and firmware for UAS, including navigation, control systems, communications, perception, and autonomous capabilities.
• Develop, review, integrate, and test software and firmware to be deployed on UAS.
• Support testing of embedded software in a lab facility, including integration with peripheral equipment such as motor controllers, power regulation systems, battery control, and sensors.

WHO YOU ARE

• Rapidly develop embedded software and firmware and transition them to flight test.
• Collaborate with other researchers and engineers across the autonomy and flight controls team.
• Support various programs to develop autonomy including software development, test, system integration and flight tests.
• Strong coding skills in C/C++, Python, and MATLAB.

WHY JOIN US

This role offers a unique blend of autonomy, strategic influence, and technical expertise, allowing you to make a lasting impact on our operations and advance your career as a technology leader.

BASIC QUALIFICATIONS

• Bachelor's degree in Computer Science, Computer Engineering, Robotics Engineering, or Electrical Engineering.
• 4 or more years of software engineer experience.
• Experience with embedded software programming and hands-on expertise of programming languages such as C, C++, and Python.
• Experience with modern software engineering tools and development frameworks (Git, CMake, gtest, or others).
• Experience with software architecture and design.
• Experience with state machines, decision trees, and behavioral planning.

DESIRED SKILLS

• Experience with inter communication protocols (i.e. TCP/IP, UDP, CAN bus, serial, ARINC 429).
• Experience developing and debugging real-time embedded software and firmware (i.e. gdb).
• Experience with GPU implementation.
• Experience with FPGA implementation.
• Experience in designing fault tolerant systems.
• Experience with the Linux operating system.
• Experience with embedded graphical rendering environments (i.e. QT, OpenGL, LVL).
• Experience with Machine Learning applications in an embedded environment.
• Experience working on safety-critical systems.