Senior Software Engineer, AI Infrastructure

What you'll do:

• Design and build LLM serving infrastructure on Kubernetes: deployment, GPU scheduling, scaling, and model lifecycle management.
• Package the platform for enterprise environments: Helm-based installs, upgrades, and restricted/offline networks.
• Integrate the serving layer with the platform's API gateway, identity, and metering services.

What we're looking for:

• 5+ years of software engineering experience in infrastructure, platform, or distributed systems.
• Deep hands-on Kubernetes experience: building and operating production workloads and Helm charts, not just consuming managed clusters.
• Experience with GPU workloads or LLM inference, or strong adjacent systems experience and a track record of learning fast.

Additional Information:

• Work with an established Silicon Valley leader in the cloud infrastructure industry.
• Be a part of cutting-edge, open-source innovation.
• Thrive in a high-energy environment with a young company where openness, collaboration, risk-taking, and continuous growth are valued.