Skild AI
AI & Machine LearningDirect Greenhouse career site

Camera Systems Software Engineer

Pay
$100,000 – $300,000 per year
Location
San Mateo, CA · On-site
Job type
Full-time
Level
Senior
Experience
5+ years
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • MIPI CSI-2
  • V4L2 drivers
  • Linux device trees
  • C++ for Linux
  • multi-camera synchronization

Also useful

  • GMSL
  • FPD-Link
  • ISP tuning
  • NVIDIA Tegra

Position Overview

We are seeking an experienced Camera Systems Software Engineer to own camera integration and enablement for real-time robotic systems built on NVIDIA Tegra platforms. This person will be responsible for the full camera lifecycle, from defining requirements with external camera partners to integrating, debugging, and maintaining low-latency camera pipelines using the Tegra camera stack.

This is a highly hands-on systems role that sits at the intersection of Linux, camera hardware, real-time software, calibration, synchronization, and high-level software interfaces. The ideal candidate has deep experience bringing up camera sensors, debugging low-level hardware/software issues, working with camera vendors, and building reliable APIs that expose synchronized camera data to perception, robotics, and autonomy systems.

Responsibilities

  • Own camera systems end to end, including vendor requirements, sensor/module selection, hardware bring-up, software integration, debugging, calibration, validation, and long-term maintainability.
  • Work directly with camera vendors and hardware partners to define requirements for custom cameras, including sensors, optics, frame rates, exposure behavior, synchronization, timestamping, calibration needs, mechanical constraints, thermal constraints, and image-quality targets.
  • Develop and maintain low-level camera software, including sensor configuration, camera drivers, device-tree changes, capture-path validation, timestamp handling, metadata handling, and camera control interfaces.
  • Debug camera issues across the hardware/software boundary, including MIPI CSI-2, GMSL or FPD-Link, I2C control, power/reset/clock sequencing, dropped frames, timestamp instability, bandwidth limits, corrupted images, ISP behavior, and sensor-mode configuration.
  • Design reliable, low-latency camera pipelines for real-time robotic systems, with careful attention to buffering, memory movement, CPU/GPU interaction, scheduling, throughput, timing jitter, and dropped-frame behavior.
  • Build clean high-level APIs that expose camera frames, timestamps, metadata, calibration parameters, diagnostics, and health/status information to perception, autonomy, logging, and product software.
  • Collaborate closely with perception, robotics, embedded systems, electrical engineering, and external hardware partners to ensure the camera stack is reliable, observable, and production-ready.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Robotics, Computer Science, or a related technical field.
  • 5+ years of hands-on experience with embedded camera systems, including sensor bring-up, camera module integration, driver-level debugging, and board-level validation.
  • Strong proficiency in C/C++ for Linux or performance-sensitive systems, including multithreading, memory management, profiling, and low-latency software design.
  • Experience with camera interfaces and supporting hardware, such as MIPI CSI-2, I2C, GMSL, FPD-Link, serializers/deserializers, power sequencing, reset sequencing, clocks, and sensor mode tables.
  • Experience developing or modifying Linux camera drivers, device trees, V4L2 drivers, media controller graphs, or similar low-level camera integration components
  • Strong understanding of vision requirements for real-time systems, including timestamping, synchronization, buffering, scheduling, latency measurement, jitter reduction, dropped-frame analysis, and deterministic data delivery.
  • Experience with multi-camera synchronization, hardware triggering, PTP, PPS, camera-IMU synchronization, or other precise timing systems.
  • Working knowledge of image sensors and imaging pipelines, including Bayer formats, RAW capture, YUV/RGB formats, HDR modes, exposure/gain control, white balance, ISP behavior, and image-quality tradeoffs.
  • Proficient with debugging tools and workflows, including kernel logs, tracing, profiling, oscilloscopes or logic analyzers, long-duration test scripts, capture validation tools, and reproducible failure isolation.

Pay and benefits

Base Salary Range $100,000—$300,000 USD

Company Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts.

Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Read the original posting

From Skild AI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Camera Systems Software Engineer role at Skild AI?

The Camera Systems Software Engineer posting at Skild AI states compensation of $100,000 – $300,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Skild AI's official career site.

Where is the Camera Systems Software Engineer job at Skild AI located?

This Camera Systems Software Engineer position at Skild AI is located in San Mateo, CA (On-site). Always check Skild AI's application page for specific state eligibility or relocation policies.

What qualifications are required for Camera Systems Software Engineer at Skild AI?

For the Camera Systems Software Engineer role, Skild AI highlights 5+ years of relevant experience; a bachelor's degree; experience with MIPI CSI-2, V4L2 drivers, Linux device trees, C++ for Linux, multi-camera synchronization. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Camera Systems Software Engineer position at Skild AI?

This listing links directly to Skild AI's Greenhouse application page. You can apply directly on Skild AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.