Neros
Manager, Autonomy Evaluation, Data & Test
$232K–$324K
Torrance, California, United States · Manager · Full-time · Posted Sep 8, 2026
- Experience
- 8+ years of engineering experience, including 3+ years managing engineers.
- Education
- BS or MS in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related field.
About the job
Leads the team and systems that evaluate drone autonomy, including release gates, regression testing, flight-log data infrastructure, simulation, hardware-in-the-loop testing, and field operations.
What you'll do
- Define autonomy release criteria, performance metrics, coverage reporting, and exception reviews.
- Build and operate regression, simulation, hardware-in-the-loop, and autonomy data systems.
- Direct field testing and integration; hire, lead, and develop a multidisciplinary team.
What they ask for
- 8+ years of engineering experience in robotics, autonomous vehicles, aerospace, or defense autonomy, including 3+ years managing engineers.
- Directly led an evaluation, validation, metrics, or test-infrastructure function for a physical autonomous system; defined metrics and acceptance criteria and owned release-gating decisions.
- Built automated regression and CI infrastructure for robotics or autonomy software using Python and C++; experience with large-scale log and sensor data infrastructure and deterministic replay.
- Working knowledge of closed-loop simulation and hardware-in-the-loop testing, including embedded-compute timing; experience managing engineers across disciplines; relevant BS or MS degree.
Nice to have
- Built evaluation, simulation, or data infrastructure from the ground up; experience with machine-learning data pipelines and model evaluation.
- Experience supporting or leading flight tests and range operations; background in guidance, navigation and control, tracking, sensor fusion, or electro-optical and infrared perception.
Pay
$232,000 - $324,500 USD (base salary)
Tools
Python, C++
AI focus
Evaluates drone autonomy software and builds its regression, simulation, data, and release-gating systems; may include machine-learning dataset pipelines and automated model evaluation.
Model-written summary · the original posting is authoritative