Senior Platform Engineer

Responsibilities

• Implement and maintain the autonomy runtime and middleware integration layer, including module interfaces, inter-process communication, process and thread structure, message passing, and execution rates.
• Own real-time scheduling, latency accounting, deadline monitoring, and end-to-end sensor-to-actuator latency measurement on target hardware.
• Design and implement high-rate on-vehicle logging with ring buffers, triggered capture, multi-sensor and video streams, storage and bandwidth budgeting, and log integrity verification.
• Implement hardware timestamping and time synchronization across sensors, mission compute, and flight controllers while representing clock domains and synchronization state in logged data.
• Support hardware-in-the-loop bench infrastructure and field flight tests, and resolve timing, logging, and integration defects using flight data.

Requirements

• 5+ years of professional experience developing production embedded, robotics, or real-time software on systems operating outside a laboratory.
• Demonstrated delivery of software to a physical vehicle or embedded platform through bring-up, integration, and field operation.
• Expert proficiency in modern C++ on embedded Linux and working proficiency in Python for tooling, analysis, and automation.
• Hands-on experience with robotics or vehicle runtime and middleware layers, including inter-process communication, message passing, module interfaces, process and thread structure, and execution scheduling.
• Deep experience with real-time scheduling policies, CPU affinity and isolation, lock-free or zero-copy data paths, jitter and deadline analysis, and target-hardware latency measurement.
• Experience building high-rate vehicle data logging without degrading control-loop timing.
• Experience implementing time synchronization and hardware timestamping using PTP, gPTP, PPS, sensor trigger lines, or equivalent approaches.
• Experience developing and debugging camera and inertial sensor drivers and data paths across interfaces such as MIPI CSI-2, GMSL, USB3 Vision, GigE Vision, SPI, or I2C.
• Unmanned aircraft experience with PX4, ArduPilot, MAVLink, flight-controller integration, arming logic, flight modes, and failsafe behavior is preferred.
• Experience with thermal or non-visible imaging payloads, hardware-in-the-loop benches, automated release gating, deterministic log replay, log schema and provenance, versioning, or RTK GNSS post-processing is preferred.

Benefits

• The role offers a US base salary range of $163,500–$228,500, with highly competitive equity grants considered part of total compensation.
• The position includes hands-on support for field flight tests and hardware-in-the-loop operations.