Engineering Manager, GPU (ML Accelerator)

Anthropic
San Francisco, New York, Seattle
Workplace: HybridFull timeUSD 500,000 - 850,000 annuallyFunction: Software EngineeringExperience: 1+ yearsEducation: bachelorsSkills: ["Leadership","Communication","Stakeholder management","Teamwork","Problem-solving"]

Engineering Manager responsible for leading front-line engineering efforts to improve model performance and scale inference/training systems, while ensuring team execution, growth, and alignment with AI safety. Will contribute technically as needed, manage dynamic projects, and foster collaboration across stakeholders in a fast-paced environment.

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FursaFursa
Anthropic
Anthropic
1 year ago

Engineering Manager, GPU (ML Accelerator)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Engineering Manager responsible for leading front-line engineering efforts to improve model performance and scale inference/training systems, while ensuring team execution, growth, and alignment with AI safety. Will contribute technically as needed, manage dynamic projects, and foster collaboration across stakeholders in a fast-paced environment.
Location: San Francisco, New York, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems
  • •Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor
  • •Manage day-to-day execution of the team’s work
  • •Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment
  • •Coach and support your reports in understanding, and pursuing, their professional growth

Pay and Benefits

Salary: USD 500,000 - 850,000 annually
Perks:Paid LeaveParental LeaveRemote Work

Key Requirements

  • •Have 1+ years of management experience in a technical environment, particularly performance or distributed systems
  • •Have a background in machine learning, AI, or a similar related technical field
  • •Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
  • •Excel at building strong relationships with stakeholders at all levels
  • •Are a quick learner, capable of understanding and contributing to discussions on complex technical topics
Experience:1+ yearsAI/ML
Education:Bachelor's
Skills:LeadershipCommunicationStakeholder managementTeamworkProblem-solving
Languages:English
Tech Stack:Distributed systemsGPUAccelerator programmingTransformersML frameworks

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn