Senior GPU Systems Engineer
Job Summary
To support the development of AI-native cloud computing, the full-time Senior GPU Systems & Fabric Engineer will create high-performance hardware foundations, integrating GPU and networking infrastructure with Kubernetes, while working remotely from San Jose or Austin.
Key Responsibilities
- Architect and maintain integrations for NVIDIA/AMD GPU device plugins and Kubernetes Operators
- Configure and optimize high-performance host networking stacks for distributed AI training
- Build and manage automated hardware remediation pipelines using DCGM telemetry
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- 5+ years of systems engineering experience with strong proficiency in Linux kernel internals, C, or Go
- Hands-on experience with GPU architectures and distributed networking technologies
- Deep understanding of containerized environments and Kubernetes device plugin architecture
- Proven track record of operating and scaling bare-metal systems in large-scale production environments
Complete Job Description
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