- Robot type
- Sensors and Components
- Location
- New YorkNew YorkUSA
- Job type
- Hardware
- Posted
- Oct 20, 2026
- Salary
- $120,000–$160,000 a year
Sensor Verification & Characterization Engineer (LiDAR)
Job description
Voyant Photonics builds silicon photonic chips that steer and switch light at high speed. They power next generation, chip-scale FMCW LiDAR for robotics and autonomy, and optical circuit switches (OCS) for AI data centers. Based in NYC, we’re a hands-on team designing, building, and deploying frontier hardware to solve problems that matter, from how machines see to how AI scales.
Job responsibilities
- Design and execute verification and characterization tests for full sensor systems and subsystems, ensuring designs meet performance requirements and building a clear picture of system behavior across operating…
- Plan and run rapid derisk experiments for new technologies and subsystems to inform specifications and architecture decisions, often before formal requirements exist.
- Correlate measurements against simulation and analytical models, feeding results back to design and modeling teams to improve predictive accuracy.
- Troubleshoot and debug system-level and subsystem-level issues, applying strong systems-engineering and first-principles physics reasoning to isolate root cause.
- Generate clear test reports and well-formed hypotheses to share findings and drive decisions with the broader engineering team, including recommendations on specification limits and design tradeoffs.
- Build, maintain, and automate test benches and lab equipment to support repeatable, efficient verification.
- Adapt quickly to changing requirements, shifting priorities, and new problems as our programs evolve.
- Bring creativity to solving design challenges under real-world constraints.
Job requirements
- BS in Electrical Engineering, Physics, or a related field (MS or PhD a plus).
- 4+ years of hands-on experience in system or sensor test, verification, characterization, or early-stage technology derisking - though we're open to exceptional candidates at other experience levels who show strong…
- Hands-on experience with lab equipment (oscilloscopes, power supplies, function generators, spectrum analyzers, logic analyzers) and demonstrated experience automating test equipment.
- Proficiency in Python for test automation and data analysis.
- Experience designing experiments under uncertainty: choosing what to measure, estimating measurement uncertainty, and drawing defensible conclusions from limited data.
- Strong systems-level thinking and the ability to apply physics and engineering fundamentals to debug complex, ambiguous problems.
- Excellent written and verbal communication skills — able to turn raw data and observations into clear reports and actionable hypotheses.
- A self-starter who can thrive with minimal formal process, and is comfortable defining and communicating structure where it doesn't yet exist.
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