Stealth startup led by ex-Anduril founders building a high-speed interceptor platform. This role owns autonomy software integration end to end, from perception through planning to controls, delivering “kill chain” capability that performs reliably on real hardware and in representative environments.
Competitive Salary, Meaningful Equity, Full-package.
Role Description
As a Robotic Software Engineer, you will build and integrate the autonomy software stack that enables a high-speed interceptor to see, decide, plan, and execute in real time. You will focus on closing the loop on real systems, turning sensor data into decisions, trajectories, and reliable execution on hardware.
This is an execution-driven role. You should be comfortable debugging across the stack, operating with imperfect sensors and incomplete information, and shipping autonomy that performs consistently outside the lab.
Core Responsibilities
- Build and integrate the full autonomy software stack, spanning perception, state estimation, planning, and controls.
- Deliver end-to-end “kill chain” capability, see, decide, plan trajectories, execute, with measurable performance on real systems.
- Implement and optimize real-time pipelines for sensor ingestion, fusion, tracking, and downstream decision-making.
- Develop motion planning and trajectory generation that respect platform dynamics, constraints, and safety envelopes.
- Integrate controls with planners and estimators, tuning and validating closed-loop behavior on hardware.
- Own simulation and test harnesses used to validate autonomy behavior prior to field testing.
- Debug system-level failures across software, sensors, compute, and actuation, and drive fixes through to resolution.
- Partner closely with electrical, mechanical, and systems teams to support integration, testing, and iteration cadence.
- Support lab testing, field testing, and performance characterization as the system matures.
Skills and Experience
- 2+ years of relevant robotics or autonomy software experience, including shipping integrated capability on real hardware.
- PhD candidates with 1 to 2 years of applied, hands-on experience are acceptable.
- Strong software engineering fundamentals and comfort working across a complex, multi-module codebase.
- Experience in at least one autonomy domain area, perception, estimation, planning, or controls, with the ability to integrate across the full stack.
- High proficiency in Python and C++
- Working knowledge of Linux-based development environments.
- Familiarity with robotics tooling such as ROS or ROS2, simulation environments, and version-controlled workflows.
- Strong debugging instincts and comfort operating in test environments with ambiguity and incomplete data.
- High ownership and bias toward execution in a fast-moving, early-stage environment.
Why Join
You will have clear ownership over full-stack autonomy on a high-speed interceptor platform, with direct accountability for turning perception into reliable closed-loop execution. You will work on problems where system performance is the metric, and where engineering rigor and iteration speed directly determine mission outcomes.
ITAR Compliance
This position may require compliance with U.S. Government export regulations. Candidates must be a U.S. citizen, U.S. permanent resident, or a protected individual as defined by 8 U.S.C. 1324b(a)(3).
