Embedded Camera Systems Engineer (MIPI / ISP / SoC)

Proception Inc.; Palo Alto (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive equity

Health coverage

Work on real robotic systems

High ownership role

Define camera architecture

Job summary

Proception Inc. seeks an Embedded Camera Systems Engineer to build and bring up low-level camera systems and imaging pipelines across MIPI CSI-2, ISPs, and embedded SoCs. You will work at the hardware-kernel-perception boundary on multi-camera deployments.

You will gain hands-on experience with RK3588/Jetson Orin platforms, sensor drivers, and calibration workflows while collaborating with hardware and perception teams to deliver robust, real-time imaging solutions.

Qualifications

• BS/MS in Electrical Engineering, Computer Engineering, Robotics, or equivalent industry experience.
• Strong experience with embedded Linux camera stacks (V4L2, Media Controller, libcamera).
• Hands‑on experience bringing up MIPI CSI-2 cameras on SoCs such as RK3588 or Jetson Orin.
• Understanding of MIPI CSI-2, D‑PHY / C‑PHY, lane configurations, and bandwidth constraints.
• Experience with camera sensor drivers, device tree configuration, and kernel debugging.
• Proficiency in Rust and C/C++ for embedded systems and kernel‑adjacent development.
• Experience with camera calibration (intrinsics, extrinsics, stereo, multi‑camera rigs).
• Comfortable working with oscilloscopes, logic analyzers, and hardware bring‑up tools.
• Strong Linux fundamentals (drivers, DMA, memory, interrupts, power management).

Responsibilities

• Bring up and validate MIPI CSI-2 camera sensors on RK3588, Jetson Orin, and custom boards.
• Develop and debug camera sensor drivers, ISP pipelines, and device tree configurations.
• Integrate RGB, stereo, and depth cameras into real-time perception pipelines.
• Design and support multi-camera synchronization and hardware triggering strategies.
• Work with FPGA-based camera bridges or aggregators when needed.
• Implement and maintain camera calibration pipelines (mono, stereo, multi-view).
• Optimize throughput, latency, and stability for high-resolution and multi-camera systems.
• Collaborate with perception, SLAM, and hardware teams to ensure end-to-end reliability.
• Support manufacturing test, validation, and field diagnostics for camera subsystems.

Skills

Embedded Linux

Rust

C/C++

MIPI CSI-2

Camera calibration

Kernel debugging

Device tree

Linux drivers

Real-time pipelines

Education

BS/MS in EE, CE, Robotics or equivalent

Tools

RK3588

Jetson Orin

Job description

Embedded Camera Systems Engineer (MIPI / ISP / SoC)

Build the low-level camera and imaging systems that power next-generation humanoid and robotic perception. You will work across MIPI CSI-2 cameras, ISPs, FPGA bridges, and embedded SoCs to bring up, calibrate, synchronize, and deploy multi-camera systems at scale. This role sits at the boundary between hardware, kernel drivers, and real-time perception pipelines.

Requirements

• BS/MS in Electrical Engineering, Computer Engineering, Robotics, or equivalent industry experience
• Strong experience with embedded Linux camera stacks (V4L2, Media Controller, libcamera)
• Hands‑on experience bringing up MIPI CSI-2 cameras on SoCs such as RK3588 or Jetson Orin
• Understanding of MIPI CSI-2, D‑PHY / C‑PHY, lane configurations, and bandwidth constraints
• Experience with camera sensor drivers, device tree configuration, and kernel debugging
• Proficiency in Rust and C/C++ for embedded systems and kernel‑adjacent development
• Experience with camera calibration (intrinsics, extrinsics, stereo, multi‑camera rigs)
• Comfortable working with oscilloscopes, logic analyzers, and hardware bring‑up tools
• Strong Linux fundamentals (drivers, DMA, memory, interrupts, power management)

Responsibilities

• Bring up and validate MIPI CSI-2 camera sensors on RK3588, Jetson Orin, and custom boards
• Develop and debug camera sensor drivers, ISP pipelines, and device tree configurations
• Integrate RGB, stereo, and depth cameras into real-time perception pipelines
• Design and support multi‑camera synchronization and hardware triggering strategies
• Work with FPGA‑based camera bridges or aggregators when needed
• Implement and maintain camera calibration pipelines (mono, stereo, multi‑view)
• Optimize throughput, latency, and stability for high‑resolution and multi‑camera systems
• Collaborate with perception, SLAM, and hardware teams to ensure end‑to‑end reliability
• Support manufacturing test, validation, and field diagnostics for camera subsystems

Benefits

• Competitive salary and meaningful equity
• Comprehensive health, dental, and vision coverage
• Work on real robotic systems deployed in the physical world
• High‑ownership role spanning hardware, kernel, and perception interfaces
• Opportunity to define the camera architecture for next‑generation humanoid robots