BrightAI

BrightAI

Senior / Staff Linux Embedded Engineer

Palo Alto, California · Staff+

Sponsorship not specifiedDetected 49 days ago
C++GitDockerCI/CDLinuxEmbedded SystemsSignal ProcessingCommunicationCollaboration

About the role

  • This is a hands-on individual contributor role requiring a generalist capable of navigating system boundaries-from kernel-level debugging to back-end logic and application tailoring.
  • While our next-generation architecture leverages the Go programming language, candidates with strong fundamental computer science and C/C++ backgrounds are highly encouraged to apply.

Responsibilities

  • System Customization: Lead technical alignment and vertical-specific applications deployment on our production Yocto-based Embedded Linux distribution.
  • Hardware Integration: Support board bring-up and physical hardware validation using low-level protocols, ensuring seamless mapping from simulation to actual edge devices.
  • System Architecture: Collaborate across firmware and application boundaries, leveraging containerized runtime architectures (Docker/Podman) for Edge OS environment isolation.
  • Linux Infrastructure: Solid familiarity with embedded build environments (Yocto Project, recipes, device trees) and low-level system diagnostic tools (GDB, strace, dmesg).

Requirements

  • The ideal candidate brings deep experience with Embedded Linux environments and physical hardware validation.
  • Required Skills and Experience
  • Prior experience with or conceptual familiarity with the Go programming language (concurrency, dynamic memory footprint tracking).
  • Workflow Tooling: Advanced proficiency with Git, team collaboration development flows, and structural code reviews.
  • Go Lang: Prior experience with or conceptual familiarity with the Go programming language (concurrency, dynamic memory footprint tracking).

Nice to have

  • Advanced proficiency with Git, team collaboration development flows, and structural code reviews.
  • Preferred / "Nice-to-Have" Skills

This listing is sourced directly from BrightAI's careers page and normalized into a canonical job model.