about 3 hours ago
Base Salary
$295k - $380k/yr
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.
- Debug issues across ML training systems, GPUs, clusters, networking, and related infrastructure.
- Help researchers and engineers unblock broken training jobs and flaky workflows.
- Improve the reliability, maintainability, and usability of the robotics team’s training framework.
- Move quickly on practical engineering problems that directly affect team velocity.
Requirements
- Strong software engineering fundamentals and excellent code review judgment.
- Experience with ML systems, training frameworks, GPUs, distributed systems, or complex technical environments.
- Ability to read and debug unfamiliar codebases quickly.
- Proven track record of shipping high-quality code with strong velocity.
- Low-ego, responsive, and motivated by helping others move faster.
- Experience reviewing messy, fast-moving, or AI-generated codebases.
Benefits
- Relocation assistance for new employees.
- In-office work environment in San Francisco, CA.