СШАSensor Verification & Characterization Engineer (LiDAR)
вчера
120k–160k USD / годСШАMiddleOnsite
sensor verificationcharacterizationlidartest designdata analysissimulation
Engineer responsible for verification and characterization of LiDAR sensors across development stages, including testing, derisking experiments, and subsystem verification.
О компании
- 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.
- We build frontier hardware & software from our lab and office in Midtown Manhattan, where optical tables, lab benches and electronics sit alongside traditional office space. Our work is hands-on and primarily in person, but we don’t run on a rigid 9-to-5. We partner with customers across time zones, so some calls start early or run late, and we adjust schedules around them. We run a high-trust, high-accountability environment: you’ll own meaningful work, move quickly and often wear more than one hat. Voyant provides catered lunch every day at HQ, and we’re a diverse group of food lovers from around the world who enjoy sharing food, culture and technical ideas around the lunch table.
Обязанности
- We're looking for a Sensor Verification & Characterization Engineer to join our Systems Team, reporting to the System Integration Lead. This role spans the full arc of sensor development: running early derisk experiments that shape specifications and validate our models; building verification benches for new subsystems; and characterizing full systems as they mature toward production. You'll work across multiple active programs, pushing our platform further down the product lifecycle while standing up verification for brand-new subsystems.
- 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 conditions.
- 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.
- Collaborate closely with hardware, photonics, optics, firmware, and controls engineers throughout the system lifecycle, from bring-up through production support.
Требования
- 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 potential and the right attitude.
- 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.
- Comfortable moving between quick-turn exploratory experiments and disciplined, repeatable verification.
- Enthusiasm for tackling new and unexpected problems, and the flexibility to pivot as priorities shift.
- Must be able to work on-site.
Будет плюсом
- Experience with FMCW LiDAR, radar, or other optical/photonic sensing systems.
- Experience working alongside modeling or simulation teams to validate and refine physical models.
- Experience automating motorized stages, gimbals, or other opto-mechanical test setups.
- Familiarity with C/C++ for embedded or test applications.