Optical Test Engineer at Rivet Industries

Bellevue, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Sep, 26

Salary

185000.0

Posted On

03 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Optical Characterization, Test Automation, Python, Data Analysis, Calibration Algorithms, Optical Measurement, Hardware Validation, Experimental Design, NumPy, SciPy, Matplotlib, System Validation, Lab Documentation, Cross-functional Collaboration, Sensor Performance Evaluation, Data Acquisition

Industry

technology;Information and Internet

Description

Work Authorization Requirement: Due to the nature of our business and compliance with federal regulations, all candidates must be a "U.S. Person". Upon hire, you will be required to provide documentation verifying your status as a U.S. Citizen, a lawful permanent resident, or a protected individual under 8 U.S.C. 1324b(a)(3). Role: Optical Test Engineer Location: Bellevue, WA Compensation*: $150,000-$185,000 + benefits Description As an Optical Test Engineer, you will own the characterization, calibration, and validation of advanced optical sensing and display systems. You’ll design and automate experiments to measure system performance, develop calibration procedures and analysis pipelines, and work cross-functionally with optical, electrical, firmware, and systems teams to rapidly improve hardware performance and reliability. This role is highly hands-on and ideal for someone who thrives in fast-paced environments, enjoys building lab infrastructure and automation tools, and can turn complex experimental data into actionable engineering insights. Responsibilities Design and execute characterization experiments to evaluate optical sensor and display performance, including range, accuracy, resolution, brightness, noise floor, linearity, and field of view Develop automated test systems and analysis pipelines for efficient system and component evaluation and calibration Develop, implement, and validate calibration algorithms and procedures for intrinsic and extrinsic sensor parameters (e.g., beam pointing, intensity, temperature compensation) Build automated test setups and data acquisition pipelines using Python Analyze large datasets from sensor characterization campaigns; identify failure modes, performance trends, and areas for improvement Maintain detailed lab documentation including test plans, experimental procedures, calibration records, and characterization reports Collaborate with optical, electrical, firmware, and systems engineering teams to close the loop between characterization findings and hardware/firmware iterations Support bring-up and evaluation of new sensor hardware revisions in a lab environment Qualifications B.S., M.S., or PhD in Electrical Engineering, Mechanical Engineering, Optical Engineering, Physics, or a closely related field 3-5 years of hands-on experience in sensor characterization, optical systems testing, or related hardware validation roles Proficiency in Python for test automation, data analysis, and visualization (NumPy, SciPy, Matplotlib or equivalent) Experience with optical measurement equipment (e.g., integrating spheres, optical power meters, beam profilers, oscilloscopes) Ability to design controlled experiments and draw statistically sound conclusions from data Strong written and verbal communication skills; ability to document work clearly and concisely Background working in a hardware startup or similarly fast-paced, resource-constrained environment preferred Experience supporting transfer of calibration processes to manufacturing/NPI environments preferred *Total compensation may vary within this range and is determined by years and level of relevant experience, job-related skills, education, and other factors. In addition to base salary, this role may be eligible for equity grants and other forms of compensation. Eligible employees also receive a competitive benefits package, including unlimited PTO. EOE

Responsibilities

Own the characterization, calibration, and validation of advanced optical sensing and display systems. Design and automate experiments to measure system performance and develop analysis pipelines to improve hardware reliability.