Engineering Manager, Gpu (ml Accelerator)

Anthropic

San Francisco, CA, USA
$500,000—$850,000 usd py
On-site
Engineering leadership for model performance
Maximize efficiency of inference and training systems
Identify and remove performance bottlenecks
Anthropic's mission is to create reliable, interpretable, and steerable AI systems, ensuring AI is safe and beneficial for users and society

Job Summary

  • Anthropic's mission is to create reliable, interpretable, and steerable AI systems, ensuring AI is safe and beneficial for users and society.
  • As an Engineering Manager, you will provide front-line leadership to improve model performance and scale inference/training systems, while coaching your team and managing day-to-day execution.
  • The company offers competitive compensation and benefits, including generous vacation and parental leave, flexible working hours, and a collaborative office environment.

Matching Summary

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, ensuring AI is safe and beneficial for users and society.

Salary

$500,000—$850,000 USD

Skills & Requirements

Must-have

  • Engineering leadership for model performance
  • Maximize efficiency of inference and training systems
  • Identify and remove performance bottlenecks
  • Machine learning or AI technical background
  • Building strong stakeholder relationships

Nice-to-have

  • Deep interest in safe AI development
  • Experience managing rapid growth and change
  • Understanding complex technical systems
  • High performance large-scale ML systems
  • GPU/Accelerator programming experience

Key Requirements

  • 1+ years technical management experience
  • Bachelor's degree or equivalent experience

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter