Manager, Autonomy Evaluation, Data & Test

Who We Are

Neros is a defense technology company rebuilding America's drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment.

Neros is a defense technology company rebuilding America's drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment.
As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy. We’re hiring engineers, operators, and builders who want to move fast, take on extreme ownership, and get capability into the hands of warfighters in months, not years.

Neros builds autonomy for drones that operate in contested environments where GPS and communications are denied. The Autonomy Evaluation, Data & Test team owns how autonomy performance is measured across all Neros platforms: the regression and simulation infrastructure every software change is tested against, the data platform that ingests and indexes flight logs, the hardware-in-the-loop bench, and field test operations. As the leader of this team, you will define the metrics and acceptance criteria that determine whether autonomy software is cleared to fly, and build the team and systems that produce that evidence.

• Own the release criteria for autonomy software, including the definition of the regression gate, the conditions under which a build is blocked, and the process for reviewing exceptions
• Define autonomy performance metrics and their semantics for the organization, and publish coverage and reliability reporting to engineering and company leadership
• Build and operate a multi-tier regression system spanning unit and module tests, open-loop replay against logged flights, closed-loop simulation, and hardware-in-the-loop testing on production flight computers, including latency and deadline-miss measurement on target hardware
• Own the autonomy data platform end to end: on-vehicle capture, field egress, ingest and normalization, log catalog and query layer, deterministic replay at scale, and versioned dataset materialization for model training
• Direct field test and autonomy integration, including instrumented test articles, autonomy payload integration, range operations, log recovery, and flight-readiness execution
• Hire, lead, and develop a team of engineers spanning software infrastructure, data engineering, simulation, and physical test

• 8+ years of engineering experience in robotics, autonomous vehicles, aerospace, or defense autonomy, including 3+ years managing engineers
• Direct experience leading an evaluation, validation, metrics, or test infrastructure function for a physical autonomous system
• Demonstrated experience defining performance metrics and acceptance criteria for autonomy or machine learning systems, and owning release gating decisions
• Hands-on experience building automated regression and CI infrastructure for robotics or autonomy software, in Python and C++
• Experience with large-scale log and sensor data infrastructure: ingest pipelines, time alignment across sensors, cataloging and query over multi-terabyte unstructured video and telemetry data, and deterministic replay
• Working knowledge of closed-loop simulation and hardware-in-the-loop testing, including real-time latency budgets and timing measurement on embedded compute
• Experience managing engineers across more than one discipline, including at least one outside your own technical background
• BS or MS in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related field

• Experience building evaluation, simulation, or data infrastructure from the ground up at an autonomous vehicle, drone, or robotics company, rather than operating an established system
• Experience with machine learning data pipelines, including dataset versioning and lineage, labeling operations, and large-scale automated model evaluation
• Experience supporting or leading flight test and range operations, including instrumented test articles, test article turnaround, and flight-readiness review processes
• Background in…