🛠 Tech Stack

💼 About This Role

You'll drive cross-functional programs across inference and training infrastructure, partnering with Product, Research, and Engineering. Your work will directly enable infrastructure that serves billions of tokens daily and coordinates 10,000+ GPU training runs. This role sits at the intersection of deep technical understanding and rigorous program execution.

🎯 What You'll Do

• Drive end-to-end execution of large-scale, cross-functional programs spanning inference engines and training frameworks.
• Define program structure including milestones, dependencies, risks, and success criteria.
• Partner with engineering leads on technical trade-off decisions and surface hidden risks.
• Manage integration programs with frontier AI labs and early adopters.
• Build and improve engineering operating cadence including standups, planning, and dashboards.

📋 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 4+ years of direct Technical Program Management experience in software or infrastructure.
• Strong technical fluency in systems software, distributed systems, or AI/ML infrastructure.
• Demonstrated track record shipping complex multi-team programs on time.

✨ Nice to Have

• Direct experience shipping AI/ML infrastructure such as inference engines or training frameworks.
• Hands-on coding background in Python, C++, or CUDA.
• Experience coordinating with hardware vendors (Nvidia, AMD, Google TPU, AWS).

🎁 Benefits & Perks

• 🏖️ Competitive compensation for 1-year residency program
• 🏥 Health benefits
• 🚀 Potential to convert to full-time role with equity

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 3 hours
4. 4Offer· 1 week

🚩 Heads Up

• Position is a 1-year residency, not a permanent role.
• Compensation not explicitly stated; uses vague 'competitive' term.