Senior Test Development Engineer - LiDAR Sensor Validation

Department: 1 - Engineering

Location: New York Office (HQ)

Employment Type: FullTime

About Voyant
Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system.

Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond.

The Opportunity
We are seeking a Senior Production Test Engineer to lead the development and implementation of scalable, high-throughput test infrastructure for end-of-line testing for our integrated LiDAR sensor.

You will be responsible for engineering and developing robust test methodologies with the goal of mass production for our LiDAR units. This is a highly cross-functional role working closely with Systems, Photonics, Electrical, Firmware, and Manufacturing Engineering teams to ensure performance, yield, and reliability from prototype to volume production.

Key Responsibilities

• Design and implement end-of-line (EOL) test strategies for LiDAR sensors, validating system-level performance (range, velocity, reflectivity, etc.).

• Develop automated test fixtures and software to support both in-line and EOL testing in a production setting.

• Translate lab-level validation methods into robust and scalable production tests across optical, electrical, and mixed-signal domains.

• Partner with external contract manufacturers and test vendors to stand up and scale production test infrastructure; support factory bring-up and operator training.

• Drive test coverage, throughput, and cost optimization in both low- and medium-volume manufacturing.

• Lead root cause investigations for test failures across the stack and work cross-functionally to implement fixes.

• Own and continuously improve statistical process control (SPC), yield tracking, and test data analytics across the production lifecycle.

• Support reliability and environmental testing (e.g. thermal cycling, vibration, shock) for product qualification.

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Optical Engineering, Physics, or a related discipline.

• 5+ years of experience in production test engineering with a focus on LiDAR systems or optical sensors.

• Proven expertise in system-level testing for LiDAR, imaging, or other complex optical systems.

• Hands-on experience developing and deploying automated test setups (Python preferred), including test instrumentation and DAQ systems.

• Proven track record in statistical process control, yield analysis, and high-volume data-driven decision-making.

• Demonstrated experience owning test strategy and implementation in a manufacturing or pilot-line environment.

• Experience interfacing with contract manufacturers and external test vendors.

Preferred Qualifications

• Experience with test and validation FMCW LiDAR or coherent optical systems.

• Exposure to MES systems, manufacturing analytics platforms, or test data infrastructure.

Benefits

• Competitive salary and meaningful equity package

• Comprehensive health benefits (Medical, Dental, Vision)

• Unlimited PTO and paid company holidays

• Team events and company meetups

• Hybrid or remote work environment with monthly travel for remote employees.

• Complimentary lunch provided daily at our NYC office

Equal Opportunity Employer

Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.