Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Debugging @ 3
Distributed Systems @ 6
GPU @ 3
Machine Learning
Observability
Performance Optimization
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The pAGI Infrastructure team builds and operates systems that make large-scale model training and evaluation reliable, efficient, and easy to run. The work spans distributed training infrastructure, inference and grading platforms, compute scheduling, and research tooling. The team partners with researchers and engineering teams to turn research needs into dependable infrastructure, improve GPU efficiency, and shorten the path from experiments to validated models.
The role involves scaling infrastructure behind training and evaluation workflows, owning projects from identifying bottlenecks and designing solutions through deployment and operation. The work combines distributed systems engineering, performance optimization, and close collaboration with researchers.
Responsibilities
- Build and operate infrastructure for large-scale training and evaluation, improving reliability, throughput, and resource efficiency.
- Develop shared inference and grading platforms with automated capacity management, health monitoring, and performance visibility.
- Improve compute scheduling and resource allocation to reduce idle GPU time and help workloads recover quickly from failures.
- Diagnose bottlenecks across training, inference, and orchestration, and work across teams to improve end-to-end performance.
- Build self-service tools, automated validation, and observability that help researchers launch experiments, diagnose issues, and compare results with less manual intervention.
Requirements
- Interest in the potential of personal AGI and in building the infrastructure that enables it.
- Strong software engineering fundamentals and experience building or operating large-scale distributed systems.
- Experience in ML infrastructure, inference systems, GPU performance, or infrastructure tooling.
- Ability to take ownership of open-ended problems and work independently.
- Enjoyment of debugging across system boundaries and using measurements to guide improvements in performance and reliability.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company is committed to equal employment opportunity and provides reasonable accommodations to applicants with disabilities.
Benefits
- Equity, performance-related bonuses for eligible employees, and benefits in addition to base pay.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for health, dependent care, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, office closures, and paid sick or safe time as required by applicable law.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional taxable fringe benefits may include charitable donation matching and wellness stipends.