Autonomy for the world. Backed by a16z.
About the role
Build and maintain the software and configuration that let developers run GPU workloads on Kubernetes. Design quotas, scheduling priorities, permissions and isolation so multiple teams can share compute predictably. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience building and supporting production Kubernetes platforms, including GPU or distributed computing workloads
- Strong software engineering skills in Python, Go or a comparable language
- Experience automating infrastructure deployment, configuration and upgrades
- Practical Linux, networking and storage troubleshooting skills
- Experience with shared resource scheduling, access controls or workload isolation
- Ability to work directly with machine-learning engineers, understand their workloads and turn recurring problems into maintained platform capabilities
More about this role
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .
Machine-learning engineers need reliable access to GPUs to train and evaluate models. Shield AI’s AI Factory provides shared compute and development tools for these workflows, both for our engineers and for customer deployments.
We are looking for a Platform Engineer to make that compute platform easier to use, more reliable and more efficient. You will write software, improve how teams share GPUs, help developers troubleshoot workloads and use performance data to guide capacity growth. This is a hands-on software and platform engineering role.
Build and maintain the software and configuration that let developers run GPU workloads on Kubernetes.
Design quotas,...
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