2 months ago

Software Engineer, ML Systems & Training Architecture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Hands-on Senior Software Engineer focusing on ML systems and training infrastructure for the OpenAI Robotics team. You’ll maintain and improve training frameworks, debug ML training across GPUs and clusters, unblock researchers, and push for reliable, maintainable tooling that accelerates research and engineering velocity in real-world robotics applications.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Review, improve, and clean up code across training frameworks and adjacent infrastructure.
•Identify risky or low-quality changes before they land, and raise the code quality bar without slowing the team down.
•Debug issues across ML training systems, GPUs, clusters, networking, and related infrastructure.
•Help researchers and engineers unblock broken training jobs, flaky workflows, and brittle internal tooling.
•Improve the reliability, maintainability, and usability of the robotics team’s training framework.

Pay and Benefits

Salary: USD 295,000 - 380,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Strong software engineering fundamentals with excellent code review judgment.
•Experience with ML systems, training frameworks, GPUs, distributed systems, infrastructure, or similarly complex technical environments.
•Ability to read and debug unfamiliar codebases quickly and efficiently.
•Ability to ship high-quality code with velocity and pragmatism.
•Low-ego, responsive, and motivated by helping researchers and engineers move faster.

Experience:RoboticsAIMachine learning

Skills:Code reviewSoftware engineeringDebuggingDistributed systemsML systems

Tech Stack:GPUsTraining frameworksDistributed systemsML systems

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

2 months ago

Software Engineer, ML Systems & Training Architecture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Review, improve, and clean up code across training frameworks and adjacent infrastructure.
•Identify risky or low-quality changes before they land, and raise the code quality bar without slowing the team down.
•Debug issues across ML training systems, GPUs, clusters, networking, and related infrastructure.
•Help researchers and engineers unblock broken training jobs, flaky workflows, and brittle internal tooling.
•Improve the reliability, maintainability, and usability of the robotics team’s training framework.

Pay and Benefits

Salary: USD 295,000 - 380,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Strong software engineering fundamentals with excellent code review judgment.
•Experience with ML systems, training frameworks, GPUs, distributed systems, infrastructure, or similarly complex technical environments.
•Ability to read and debug unfamiliar codebases quickly and efficiently.
•Ability to ship high-quality code with velocity and pragmatism.
•Low-ego, responsive, and motivated by helping researchers and engineers move faster.

Experience:RoboticsAIMachine learning

Skills:Code reviewSoftware engineeringDebuggingDistributed systemsML systems

Tech Stack:GPUsTraining frameworksDistributed systemsML systems

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor