Senior Production Test Engineer LiDAR

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.

Position Overview

We are seeking a Senior Production Test Engineer to lead the development and implementation of scalable, high-throughput test infrastructure for both our silicon photonics wafer-level production and our integrated LiDAR sensor end-of-line (EOL) testing.

You will be responsible for defining and executing test strategies at multiple stages of the manufacturing process—at the wafer level for photonic devices, and at the module / system level for 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

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

Lead the development of photonic wafer-level test (WLT) strategies and tooling in collaboration with photonic design and foundry partners.

Develop automated test fixtures and software to support both EOL and WLT 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, photonic components, or optical sensors.

Proven expertise in system-level testing for LiDAR, imaging, or other complex electromechanical / 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.

Familiarity with test methodologies for photonic integrated circuits or optical wafers (e.g., wafer probing, passive / active alignment, coupling efficiency).

Experience interfacing with contract manufacturers and external test vendors.

Preferred Skills

Experience with FMCW LiDAR or coherent optical systems.

Familiarity with photonic wafer-level test equipment and alignment automation.

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

What We Offer

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.