openashbyhqmvp
Staff Electrical Engineer (Sensors & Imaging Systems)
Rhoda AI
LocationMountain View
EmploymentFullTime
Posted2026-05-26T18:52:23.996+00:00
Last observed2026-06-13 05:23:41.825661
Job idmvp-rhoda-ai:ashbyhq:6412a88a-49c2-4db5-94f0-243847aa5cf5
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We are seeking a Staff or Principal Member of Technical Staff (MTS) – Electrical to lead the architecture, design, and technical execution of advanced multi-sensor imaging and perception systems. This is a senior individual-contributor role for an electrical engineer with deep, hands-on expertise across camera and imaging pipelines, depth and ranging sensors (ToF, Radar, LiDAR), thermal imaging, and the surrounding electrical and signal-integrity considerations that make these systems work in production. The successful candidate will set the technical direction for sensor selection, integration, and validation; partner closely with optics, mechanical, firmware, ML, and systems teams; and serve as a recognized technical authority across the organization. This role is ideal for an engineer who has taken multiple sensor-driven products from concept to volume production and is energized by solving hard, cross-disciplinary problems. KEY RESPONSIBILITIES - Architect end-to-end imaging and sensing subsystems, including camera selection, optics interface, illumination, and electrical integration, to meet product-level performance, power, and cost targets. - Drive camera and sensor selection across CMOS image sensors, ToF, mmWave radar, LiDAR, and thermal modules — evaluating resolution, FOV, sensitivity, dynamic range, frame rate, latency, and SWaP (size, weight, and power). - Own the camera signal chain, including ISP tuning and configuration, RAW/RGB pipelines, MIPI CSI-2 / parallel RGB interfaces, and characterization across lighting, temperature, and motion conditions. - Lead sensor fusion hardware design combining cameras, depth sensors, radar, and LiDAR for perception and object-detection workloads. - Define lighting and illumination strategies for active and passive imaging, including IR illuminators, structured light, and synchronized strobe designs. - Specify and review schematics, layouts, and BOMs for sensor boards, flex cables, connectors, and power-delivery networks; ensure signal-integrity and EMI/EMC compliance for high-speed interfaces. - Develop characterization and validation plans with lab measurements (oscilloscope, spectrum analyzer, optical bench) and statistical bring-up/qualification methodologies. - Collaborate cross-functionally with firmware/embedded, computer-vision/ML, mechanical, optical, and manufacturing engineering to drive designs from prototype through DVT, PVT, and mass production. - Mentor and influence engineers across the org; review designs, set best practices, and represent electrical engineering in architectural decisions. - Engage with external vendors and partners (sensor suppliers, module houses, ODMs) to evaluate roadmaps, negotiate specs, and resolve technical issues. REQUIRED QUALIFICATIONS EDUCATION & EXPERIENCE - B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Applied Physics, or a related field. - Staff level: 10+ years of relevant industry experience designing electrical/sensor subsystems for shipping products. - Principal level: 15+ years with a demonstrated track record of leading the technical direction of multiple high-volume sensor-based products. CAMERAS & IMAGING - Deep, hands-on knowledge of CMOS image sensors and end-to-end camera systems, including the trade-offs that drive camera selection (resolution, pixel size, QE, SNR, H
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