Autonomy​/AI Machine Learning Senior Engineer - Embedded Software

Basic Qualifications

• Bachelor’s degree in one of the following disciplines:
  Computer Science, Computer Engineering, Robotics Engineering, 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

E9853:

A/AI Mch Learn Engnr Sr

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 Flight Controls and Autonomy team is currently seeking highly motivated technology pioneers with a desire to steer and lead the Autonomy industry. Successful candidates must be willing and able to work on highly complex complicated problems, leading to world‑changing technological breakthroughs.

The team’s technical areas of emphasis include Fly‑By‑Wire Flight Control Systems, Guidance/Navigation & Control (GNC), Flight Test, Autonomy, Aviation Robotics, Perception, AI, and Motion Planning.

In this position the Engineer will be responsible for the design, analysis, optimization, lab testing and system level integration of software and firmware. Perform the development, review, integration, and test of software and firmware to be deployed on Unmanned Aircraft Systems (UAS), including navigation, control systems, communications, perception, and autonomous capabilities. Responsibilities may include the design, and support testing of embedded software in a lab facility, including integration with peripheral equipment including motor controllers, power regulation systems, battery control, and sensors.

Please Note:

US citizenship required as most programs and projects assigned are ITAR restricted.

You have the ability to rapidly develop embedded software and firmware and transition them to flight test. You can collaborate with other researchers and engineers across the autonomy and flight controls team. You can support various programs to develop autonomy including software development, test, system integration and flight tests. The candidate shall have strong coding skills in C/C++, Python, and MATLAB.

This position is based in Stratford, CT.

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.

• 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
• Experience in a regulated, safety critical environment

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Part‑time Remote Telework:
The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Employee will telework < 50%

Part time telecommuting

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