Sensor Lab Test Engineer

Global Connect Technologies; Boston (MA); On-site; USD 90,000 - 125,000; Full time

Job summary

Global Connect Technologies in Boston is seeking a Sensor Lab Test Engineer to support the development, characterization, and validation of advanced sensing technologies for robotics and automation. You will maintain a well-organized lab, execute rigorous testing of 2D and 3D sensor systems, and generate data-driven analyses to drive design improvements.

The role emphasizes SOPs, calibration management, lab safety, and collaboration with engineering teams to define acceptance criteria, automate

Qualifications

• Bachelor's degree in Electrical/Optical/Physics or related field.
• 2+ years in sensor testing or hardware validation.
• Experience with 3D sensing (ToF, stereo, LiDAR).
• Image quality analysis using Imatest or equivalents.

Responsibilities

• Maintain clean, organized, and safe laboratory environment.
• Manage inventory of sensors, fixtures, cables, and equipment.
• Track calibration schedules for lab instruments.
• Develop and maintain SOPs, workflows, and documentation.
• Execute image quality characterization for 2D sensors.
• Perform depth and 3D sensing testing (ToF, stereo, LiDAR).
• Analyze test data using statistics and report findings.
• Collaborate with engineering to define acceptance criteria and root causes.

Skills

Sensor testing

Data analysis

Troubleshooting

Lab safety

Education

Bachelor's degree in Electrical/Optical/Physics

Tools

Imatest

Python

MATLAB

Oscilloscopes

MIPI CSI-2

USB3 Vision

GigE Vision

Job description

The Sensor Lab Test Engineer supports the development, characterization, and validation of advanced sensing technologies used in robotic and automation systems. In this hands‑on role, you maintain a well‑organized and efficient sensor testing laboratory while executing rigorous testing and analysis of 2D and 3D sensor systems. You ensure test infrastructure is maintained, processes are clearly documented, and testing is performed to the highest quality standards, using data‑driven analysis to solve complex technical challenges.

Responsibilities

Maintain a clean, organized, and safe laboratory environment in accordance with established safety procedures.

Manage laboratory inventory, including sensors, fixtures, optical targets, cables, and supporting equipment.

Track and maintain calibration schedules for laboratory instruments and reference standards.

Coordinate lab space utilization, storage systems, and equipment layouts to maximize efficiency.

Develop and maintain laboratory standard operating procedures (SOPs), workflows, and best‑practice documentation.

Manage incoming and outgoing sensor samples, ensuring proper labeling, storage, and traceability.

Execute image quality characterization tests, including resolution, noise, dynamic range, color accuracy, distortion, and uniformity measurements for 2D sensors.

Perform electro‑optical testing using industry‑standard analysis tools and custom test setups.

Evaluate 2D sensor performance against specifications under varying environmental conditions such as temperature, lighting, and vibration.

Set up, align, and maintain optical test benches, illumination sources, and calibration targets to ensure repeatable measurements.

Conduct depth accuracy, precision, and repeatability testing of 3D sensing systems, including Time‑of‑Flight (ToF), stereo vision, structured light, and LiDAR technologies.

Analyze point cloud quality, including noise levels, fill rates, range accuracy, and field‑of‑view validation.

Perform volumetric and multi‑plane accuracy testing using calibrated reference targets.

Evaluate 3D sensor performance under varying environmental conditions and interference scenarios.

Develop, execute, and continuously improve test plans, methodologies, and procedures for sensor qualification and characterization.

Collect, analyze, and interpret test data using statistical and engineering principles.

Generate detailed technical reports summarizing test findings, conclusions, and recommendations.

Collaborate with engineering teams to define acceptance criteria, investigate failures, and identify root causes.

Support the development of automated test solutions and scripting tools to improve throughput, consistency, and repeatability.

Contribute to the design and enhancement of test fixtures, laboratory tools, and overall testing capabilities.

Apply software testing practices and work with cloud environments, including AWS, as part of sensor test infrastructure and data workflows.

Bachelor's degree in Electrical Engineering, Optical Engineering, Physics, Mechanical Engineering, or a related technical discipline.

At least 2 years of experience in sensor testing, electro‑optical testing, hardware validation, or a related engineering role.

Hands‑on experience with image quality characterization, including resolution, noise, color, and distortion analysis.

Experience working with 3D sensing technologies such as Time‑of‑Flight (ToF), stereo vision, structured light, or LiDAR.

Proficiency with laboratory test equipment including oscilloscopes, multimeters, optical measurement devices, light sources, and related instrumentation.

Experience using data analysis and scripting tools such as Python, MATLAB, or equivalent.

Strong organizational skills and attention to detail, particularly in managing laboratory operations and documentation.

Ability to produce clear and thorough technical documentation and test reports.

Excellent analytical, troubleshooting, and problem‑solving skills.

Ability to thrive in a fast‑paced research, development, or product engineering environment.

Experience with software testing and working in cloud environments, including AWS.

Additional Skills & Qualifications

5 or more years of experience in sensor characterization, electro‑optical testing, or hardware validation engineering.

Experience with image quality analysis tools such as Imatest or comparable platforms.

Knowledge of camera calibration techniques, optical alignment, and imaging system performance evaluation.

Experience developing automated test frameworks and Python‑based test solutions.

Familiarity with sensor interface protocols such as MIPI CSI‑2, USB3 Vision, and GigE Vision.

Experience managing laboratory operations, inventory systems, and continuous improvement initiatives such as 5S.

Knowledge of Statistical Process Control (SPC), Measurement System Analysis (MSA), and quality improvement methodologies.

Experience supporting advanced technology development programs involving robotics, automation, computer vision, or sensing systems.

Background in cloud technologies and AWS as part of test data management or analysis workflows.