Sensor Technology Fellowship (6-12 months)

Job title: Sensor Technology Fellowship (6-12 months)

About the Role We are looking for a motivated intern to join our Autonomous Driving Sensor team. You will support the evaluation and benchmarking of perception sensors — primarily LiDAR, radar, and camera — used in autonomous driving applications. This is a hands-on engineering role where you will work directly with sensor hardware, recorded datasets, and processing pipelines to characterize sensor performance under real-world conditions.

What You'll Do

• Conduct systematic sensor assessments covering detection range, resolution, field of view, and accuracy across environmental conditions (weather, lighting, temperature)
• Process and analyze 3D point cloud data from LiDAR and radar sensors to extract performance metrics such as point density at range, reflectivity response, and angular resolution
• Define and compute sensor KPIs; Integrate new KPIs in assessment pipeline
• Develop and maintain Python-based tooling for automated sensor data evaluation and reporting
• Translate sensor-level measurement results into system-level context: map component performance (e.g., detection range, angular accuracy) to Self-Driving System (SDS) requirements and identify gaps or margins
• Support test campaign planning, including scenario definition, and environmental condition coverage
• Document results in structured test reports and contribute to sensor selection decisions
• Leverage modern AI tools to accelerate data analysis, code development, and documentation — and help the team adopt AI-native workflows

What We're Looking For

• Currently pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Science, Physics, Robotics, or related technical field. If pursuing a Bachelor's, senior standing required; GPA ≥ 3.0; transcripts required
• Familiarity with Python for data analysis and scripting (NumPy, pandas, matplotlib or similar)
• Familiarity with Ubuntu
• Background with Ethernet and serial communication
• Basic knowledge of C++ (reading and modifying existing codebases)
• Foundational understanding of at least one sensor modality (LiDAR, radar, or camera) — operating principles, key parameters, and typical limitations
• Ability to work with 3D point cloud data (coordinate systems, transformations, filtering)
• Strong analytical mindset and attention to detail when interpreting measurement data
• Hands-on experience with LLM-assisted workflows
• You actively use AI tools to work faster and smarter

Nice to Have

• Experience with Open3D, PCL, or similar point cloud libraries
• Familiarity with sensor data formats (PCD, rosbag, MF4, PCAP)
• Exposure to radar signal processing concepts (Doppler, CFAR detection, range-velocity ambiguity)
• Knowledge of image processing fundamentals (ISP pipeline, lens distortion, HDR)
• Understanding of sensor fusion concepts and coordinate frame calibration
• Experience with Git, Linux, and automated testing workflows
• Familiarity with MCP or building custom AI tool integrations

Compensation & Benefits

• For a Silicon Valley Fellowship, hourly rates are: Bachelor’s $34/hr, Master’s $38/hr, PhD $42/hr
• MOIA America is an Equal Opportunity Employer. We welcome applicants from all backgrounds and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other protected characteristics
• This role is compliant with E-Verify and the organization maintains a drug-free workplace with pre-employment substance abuse testing