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