Odin Dynamics
Senior Autonomy Software Engineer
$140K–$220K
Long Beach · On-site · Senior · Full-time · Posted Aug 6, 2026
- Experience
- Approximately five or more years of relevant experience is preferred; exceptional candidates at any experience level are encouraged to apply.
- Visa sponsorship
- Offers may be conditioned on authorization to receive export-controlled software or technology without sponsorship for an export license. Odin Dynamics participates in E-Verify to confirm U.S. work authorization.
About the job
Owns the autonomy and perception software lifecycle for an autonomous underwater vehicle, from architecture and algorithm development through testing, deployment, and field improvement.
What you'll do
- Develop and maintain production autonomy and perception systems, including planning, localization, sensor fusion, obstacle avoidance, and decision-making.
- Train and evaluate models; build simulation, replay, and regression-testing workflows; analyze field data and investigate failures.
- Integrate and validate the autonomy stack with engineering teams in laboratory, field, and sea-trial environments.
What they ask for
- Practical experience developing autonomy, perception, planning, or robotics software for real-world systems.
- Proficiency in at least one systems programming language and one scripting language used in autonomy development.
- Experience with machine learning or deep learning, as well as classical computer vision or related non-ML perception methods.
- Experience delivering reliable production software and validating autonomy with testing, simulation, replay, or field data.
Nice to have
- Experience with autonomous vehicles, unmanned systems, underwater or maritime systems, or other real-world autonomous platforms.
- Experience taking autonomy or machine-learning software from early architecture through field-tested deployment.
Pay
USD 140,000–220,000 per-year-salary (base salary)
Tools
HOOTL, SIL, HIL/HITL
AI focus
Develop, train, validate, evaluate, and improve machine-learning perception and autonomy models; use AI-assisted development tools for implementation, testing, debugging, data analysis, and documentation, validating their outputs independently.
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