Description:

The Software Autonomy Engineer Early Career candidate will develop embedded software for autonomous underwater and surface vehicles, covering every phase of the software life‑cycle—from initial planning and requirements definition through detailed design and rigorous testing
Basic Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, AI, Machine Learning, Mathematics or related degree

• Strong Programming Languages Development with C++ and Python

• Experience with Autonomy/Machine Learning (AI/ML) solutions for system adaptability and predictive capabilities using tools like Py Torch or Tensor Flow

• Worked autonomous navigation systems including tools like SLAM (Simultaneous Localization and Mapping) Navigation

• Experience with perception architecture or forecasting systems using gaussian splatting models.

• Experience with NVIDIA CUDA (Compute Unified Device Architecture) for optimize GPU computing performance

• Experience utilizing automated CI/CD pipelines using Git for build and deployment

• Experience utilizing Docker for container based micro service architectures

• Experience with Deep Learning and Numerical Analysis

• Experience with Sonar Systems and underwater optical imagery

• Experience building code using Large language models (LLMs)
  Desired Skills:

• Hardware I/O Serial, Analog/Digital, Ethernet

• Strong Mathematics and Data Analysis

• Experience with Linux Operating System

• Programming in Languages Rust or Go

• Ability to conduct offshore testing

• Autonomy Path Planning algorithms
  Security Clearance Statement:

This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level:

TS/SCI
Other Important Information You Should Know Expression of Interest:

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.
Ability to Work Remotely:

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.
Work Schedules:

Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position:

4x10 hour day, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level:

4 yr and up College
Business Unit:

RMS
Relocation Available:

Yes
Career Area:

Software Engineering
Type:

Full-Time
Shift:

First