Technical Program Manager, AI Infra & GPU Scale (Equity)

RadixArk; Palo Alto (CA); On-site; USD 160,000 - 300,000; Full time

Job summary

RadixArk in Palo Alto is seeking a Technical Program Manager to drive end-to-end programs across inference and training infrastructure, partnering with Product, Research, and Engineering to turn roadmaps into shipped reality.

You will own the how and when of critical initiatives, coordinate with kernel teams and external partners like Nvidia, Google, and AWS, and help scale operations for billions of tokens daily and 10,000+ GPU runs.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 4+ years of direct experience in Technical Program Management or senior engineering roles.
• Strong fluency in systems software, distributed systems, or AI/ML infrastructure.
• Proven track record shipping complex, multi‑team programs on time.
• Excellent written and verbal communication; align across engineers, executives, and partners.

Responsibilities

• Drive end-to-end execution of large-scale, cross-functional programs spanning inference engines, training frameworks, and hardware.
• Define program structure with milestones, dependencies, risks, and success criteria; maintain a status truth across stakeholders.
• Run design reviews, sprint planning, release readiness, and post-mortems; ensure follow-ups are closed.
• Coordinate dependencies across kernel, runtime, scheduler, networking, and model teams.
• Drive release management for major versions, changelog ownership, and partner rollout planning.
• Build engineering cadence with standups, planning rituals, dashboards, and leadership reporting.
• Lead incident response for production issues; conduct root-cause analysis and corrective actions.

Job description

RadixArk in Palo Alto is seeking a Technical Program Manager to drive end-to-end programs across inference and training infrastructure, partnering with Product, Research, and Engineering to turn roadmaps into shipped reality.

You will own the how and when of critical initiatives, coordinate with kernel teams and external partners like Nvidia, Google, and AWS, and help scale operations for billions of tokens daily and 10,000+ GPU runs.