Role Summary
The Hardware Engineer is responsible for the hardware implementation and system stability
validation of perception modules, ensuring that the entire imaging and sensing signal chain
from Sensor, ISP, SerDes, to SoC delivers stability, consistency, and scalability under real
product and mass production conditions.
You will work closely with system architects, firmware engineers, opto-mechanical engineers,
and robotics teams throughout all product development stages (EVT, DVT, and MP), ensuring
reliable perception system performance in high-dynamic, long-duration, and complex
operating environments. This role serves as a critical pillar for system stability and
manufacturability in robotic perception systems.
Key Responsibilities
- System Integration & Execution: Lead the hardware integration of perception modules within robotic systems, managing the complete signal chain.
- Cross-Functional Optimization: Collaborate with system architects, firmware, and opto-mechanical teams to optimize imaging stability and performance.
- Architecture & Specification Design: Own hardware technical specifications, including schematics, component selection, and PCB layout oversight.
- Validation & Risk Mitigation: Drive hardware bring-up and debug high-speed interfaces (SI/PI, EMI, EMC, ESD) to ensure long-term reliability.
- Technical Interface: Serve as the primary hardware window for internal stakeholders and external customers to support project advancement.
Requirements
- Bachelor’s degree or above in Electrical Engineering, Electronics, Communications, or
- related fields
- Hands-on experience with hardware bring-up and system debugging, capable of
independent issue analysis - Practical experience with high-speed imaging interfaces such as MIPI CSI-2, USB, LVDS,
or GMSL
Preferred Qualifications
- Over 3 years of R&D experience, including cross-functional project leadership or
- coordination
- Strong familiarity with camera or perception module hardware architectures
- Experience with USB cameras, edge devices, IP cameras, or robotic vision systems
- Hands-on experience with high-resolution (20MP+) or high-bandwidth MIPI camera
systems - Knowledge of multi-camera architectures, synchronization design, or metadata pipelines
- Experience with NVIDIA Jetson, Qualcomm, or NXP vision and robotics platforms