Senior Camera Software Engineer, Automotive SoCs

BayOne Solutions

Santa Clara (CA)

On-site

USD 140,000 - 180,000

Full time

5 days ago
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Job summary

BayOne Solutions is looking for an experienced Camera Software Engineer to design and develop system-level camera solutions for Automotive SoCs. The ideal candidate will have strong C/C++ and Linux embedded experience, along with hands-on knowledge of camera-to-display pipelines, Linux kernel, BSP, SoC bring-up, and performance optimization.

Responsibilities include leading platform bring-up, developing PoCs for camera-to-display pipelines, and optimizing software across the embedded stack while

Qualifications

  • 6+ years of software engineering experience with strong C/C++.
  • Hands-on Linux Embedded experience (Ubuntu/CentOS/Debian).
  • Experience with camera-to-display pipelines and SoC bring-up.
  • Strong OS concepts, BSPs, RTOS, and hypervisors.

Responsibilities

  • Design and develop end-to-end camera software for Automotive SoCs.
  • Lead camera platform bring-up and PoC development for camera-to-display pipelines.
  • Develop and optimize camera control and data-path software across embedded stack.
  • Collaborate with systems, hardware, architecture, and tech teams to define interfaces.
  • Analyze issues across software-stack layers and drive root-cause resolution.
  • Drive SDLC from design to deployment and support.

Skills

C/C++ programming
Linux Embedded
Camera pipelines
OS concepts / BSPs
Cross-functional communication

Education

Bachelor's degree in Computer Science, Engineering, Information Systems

Tools

BSP
Linux kernel
SoC bring-up

Job description

BayOne Solutions is looking for an experienced Camera Software Engineer to design and develop system-level camera solutions for Automotive SoCs. The ideal candidate will have strong C/C++ and Linux embedded experience, along with hands-on knowledge of camera-to-display pipelines, Linux kernel, BSP, SoC bring-up, and performance optimization.

Responsibilities include leading platform bring-up, developing PoCs for camera-to-display pipelines, and optimizing software across the embedded stack while

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