Jobs in Palo Alto, CA

About the role

As a Technical Program Manager at RadixArk, you'll drive the execution of complex, cross-functional programs across our inference and training infrastructure. You'll partner closely with Product Management, Research, and Engineering to turn ambitious technical roadmaps into shipped reality, coordinating across kernel teams, distributed systems engineers, and external partners to deliver infrastructure that serves billions of tokens daily and coordinates 10,000+ GPU training runs. This role is for someone who thrives at the intersection of deep technical understanding and rigorous program execution. You'll own the "how" and "when" of our most critical initiatives.

What you'll bring

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 4+ years of direct experience in Technical Program Management, Engineering Management, or a senior engineering role with significant program ownership, in a software or infrastructure company.
• Strong technical fluency in systems software, distributed systems, or AI/ML infrastructure
• able to read code, follow architecture discussions, and challenge technical assumptions productively.
• Demonstrated track record shipping complex, multi-team programs on time, including managing dependencies, risks, and scope changes.
• Excellent written and verbal communication skills
• able to drive alignment across engineers, executives, and external partners.
• Direct experience shipping AI/ML infrastructure such as inference engines, training frameworks, GPU kernels, distributed schedulers, or model serving platforms.
• Hands-on coding background (Python, C++, CUDA) and comfort working in engineering codebases, including reading PRs, running benchmarks, and reproducing issues.
• Experience coordinating with hardware vendors (Nvidia, AMD, Google TPU, AWS Trainium/Inferentia) on enablement or co-engineering programs.
• Experience driving open-source release programs or working in OSS communities, including issue triage, RFC processes, and contributor coordination.
• Familiarity with release engineering, CI/CD systems, and observability tooling for large-scale distributed systems.