About the roleWe're building LUMA, a drive-through vehicle inspection scanner that combines multi-camera capture, active illumination, and multiple sensor modalities to produce high-fidelity vehicle imagery and measurements.
We're looking for an Embedded Systems Engineer to help build and evolve the device-side (edge) software and firmware stack - controlling cameras and sensors, synchronizing capture, and building new measurement capabilities. The role sits at the intersection of embedded software, hardware integration, and sensor/vision data processing. You'll take features from quick prototype through to production-grade reliability, and you'll see them run on real vehicles.
What you'll do- Build and maintain embedded Linux software and firmware for the camera and sensor stack.
- Maintain and improve camera control software: triggering, timing, health monitoring, and error recovery.
- Maintain and improve sensor control software: presence/distance/measurement sensors, calibration, and fault handling.
- Build signal processing pipelines - e.g. converting laser-triangulation outputs into 2D tread-depth maps, post-processing stereo depth, filtering/denoising, and coordinate transforms.
- Prototype fast, then harden to production-grade reliability.
- Support integration and deployments: bring up new modules, validate in the lab and on-vehicle, debug issues, and ship fixes.
What we're looking for- 3+ years of experience in embedded engineering.
- Production coding in C/C++ and/or Python, backed by strong software engineering fundamentals (OOP, testing, debugging, version control).
- Embedded Linux expertise, including system services, supervision, logging, and performance profiling.
- Hands-on hardware & sensor integration using standard protocols (UART, I2C, SPI, GPIO) and industrial interfaces (RS-485, CAN, or Modbus).
- Practical lab & bring-up skills: proficient with oscilloscopes, logic analyzers, multimeters, basic soldering/wiring, and reading datasheets/schematics.
- Modern developer workflow: experience using AI coding tools (Cursor, Claude Code, OpenAI Codex) to rapidly iterate high-quality code.
- Ownership mindset: ability to navigate ambiguous requirements, solve tough problems, and ship maintainable systems in a fast-paced environment.
What success looks like- Camera and sensor stacks run reliably for months, with clear telemetry and graceful recovery.
- New capabilities move from prototype 1 validated pipeline 1 production release.
- Hardware bring-up gets faster over time as tooling, test harnesses, and standards improve.
Contract type: Permanent
Compensation: $120-150k + equity
