# AI Infrastructure Engineer, pAGI

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full time
**Salary**: $266K - $500K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/b2250643-bfd0-4ce6-abbf-cb7e8c8123ba?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7ab52fd9-642

## Description

We are seeking an AI Systems Engineer to help scale the infrastructure behind our training and evaluation workflows. You will own 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 visibility into performance.

- 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:**

- Strong software engineering fundamentals and experience building or operating large-scale distributed systems.

- Experience in ML infrastructure, inference systems, GPU performance, or infrastructure tooling.

- Highly self-motivated and comfortable taking ownership of open-ended problems.

- Enjoy debugging across system boundaries and using measurements to guide improvements in performance and reliability.

**Benefits:**

- $266K – $500K • Offers Equity

- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

- 401(k) retirement plan with employer match

- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time

- Mental health and wellness support

- Employer-paid basic life and disability coverage

- Annual learning and development stipend to fuel your professional growth

- Daily meals in our offices, and meal delivery credits as eligible

- Relocation support for eligible employees

## Skills

### Required
- distributed systems engineering
- performance optimization
- ML infrastructure
- inference systems
- GPU performance

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/b2250643-bfd0-4ce6-abbf-cb7e8c8123ba?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)