Staff Perception Hardware Engineer

Job description

Job responsibilities

• End-to-End System Execution: Lead the physical integration of the robot’s visual perception stack. Drive the transition from prototype designs to fully validated, production-ready camera assemblies, ensuring all FOV,…
• Custom Module Development & Vendor Execution: When off-the-shelf components fall short, define the electrical, optical, and mechanical specifications for custom sensor modules.
• Custom Bring-Up & Validation Plans: Architect and own the comprehensive bring-up, DVT (Design Verification Testing), and End-of-Line (EOL) test plans for all custom-built sensor modules, ensuring they are rigorously…
• Hands-on ISP Tuning & IQ Validation: Take ownership of the image quality (IQ) on the actual robot. Perform deep, hands-on ISP tuning (auto-exposure, white balance, tone mapping) in real-world environments to ensure the…
• High-Speed Bring-up & Deep Debugging: Lead the electrical bring-up and validation of the multi-gigabit video backbone (e.g., GMSL2/3, FPD-Link).
• Synchronization Execution: Implement and rigorously measure the hardware-level synchronization across cameras, LiDAR, and IMUs.
• Calibration & Fixture Deployment: Design, build, and deploy the physical calibration fixtures and algorithms used to align the optical system.
• Cross-Functional Adjudication (DfX): Act as the technical adjudicator in the lab between Industrial Design (ID), Mechanical, and Thermal teams.

Job requirements

• Shipped Product Focus: A proven track record of taking complex perception hardware—including custom-defined sensor modules—from the breadboard phase all the way through DVT and into mass production.
• Vendor Management: Proven experience working directly with optical vendors, CMOS manufacturers, and CMs to define, build, and test custom camera or sensor modules.
• Hands-On Troubleshooting Mastery: Expert-level proficiency with high-end lab equipment (high-bandwidth oscilloscopes, logic analyzers, TDRs).
• Deep Optical & Image Physics: Deep practical understanding of CMOS sensor tuning, optical lens artifacts (flare, ghosting, distortion), and how to physically mitigate them within tight mechanical enclosures.
• System-Level Math & Calibration: Mastery of the linear algebra and 3D geometry underlying multi-camera arrays, stereo baselines, and visual-inertial sensor fusion, with the ability to write scripts (Python/C++) to…
• Drive Through Influence: Exceptional ability to lead technical initiatives and align cross-functional stakeholders (Software, ID, and ME) without direct reporting authority, using empirical data from the lab to drive…
• Agility: Ability to thrive in a fast-paced, high-growth environment where "perfect" is the enemy of "shipped," knowing exactly when a design is robust enough for the real world.
• Experience: Master or Ph.D degree in Electrical Engineering, Optical Engineering, Computer Engineering, or a related field with 8+ years of hands-on experience integrating and shipping complex vision hardware systems…