Latest AI JobsBrowse Jobs
Anthropic logo

Engineering Manager, GPU (ML Accelerator)

AnthropicSan Francisco, CA | New York City, NY | Seattle, WAAI Research & Engineering
Apply on company site
Salary
Not listed
Job type
Full-time
Posted
29 May 2025
Status
Open · checked 7d ago

About this role

This Engineering Manager position at Anthropic involves leading performance and scaling teams to optimize compute resources for AI training and inference. Based in San Francisco, CA, New York City, NY, or Seattle, WA, this role is well-suited for a technical leader passionate about safe, scalable machine learning infrastructure.

Role Overview

Anthropic is seeking an Engineering Manager for the GPU and ML Accelerator performance and scaling teams. The primary function of this role is to maximize the efficiency of compute resources used for complex AI workloads. The position sits at the intersection of various complex technical systems, requiring the leader to bring clarity, focus, and strategic execution to a fast-paced environment while supporting the safe development of advanced AI.

Key Responsibilities

Provide front-line leadership for engineering initiatives aimed at enhancing model performance and scaling inference and training systems.
Manage the day-to-day operations and project execution of the engineering team in a dynamic setting.
Prioritize workloads and ensure the removal of system bottlenecks while building durable technical solutions.
Coach and mentor direct reports to foster their professional growth and career development.
Understand the team's technical output deeply to maintain alignment with broader AI safety goals.
Make targeted individual contributions to the technical stack when necessary.

Requirements

Minimum of 1 year of management experience within a technical environment, specifically focusing on performance or distributed systems.
Background in machine learning, artificial intelligence, or a closely related technical discipline.
Minimum of a Bachelor’s degree in a relevant field of study, or an equivalent combination of education, training, and experience.
Strong capability to build robust stakeholder relationships across all levels.
Ability to grasp complex technical topics quickly and guide high-level abstractions.
Commitment to the safe development and transformative potential of advanced AI systems.

Nice to Have

Experience working with high performance, large-scale machine learning systems.
Familiarity with GPU or accelerator programming.
Knowledge of machine learning framework internals or operating system internals.
Background in language modeling utilizing transformers.

Skills and Tools

Distributed systems architecture.
GPU and accelerator programming paradigms.
Large-scale ML systems and framework internals.
Transformer-based language modeling.
Engineering team management and performance optimization.

Salary and Benefits

Annual base salary ranging from $500,000 to $850,000 USD.
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation time and parental leave.
Flexible working hours.
Office spaces designed for team collaboration, utilizing a location-based hybrid policy requiring at least 25% time in-office.
Visa sponsorship is available for qualified candidates.

About the Company

Anthropic is a public benefit corporation focused on building reliable, interpretable, and steerable AI systems that remain safe and beneficial for society. Operating as a single cohesive team, the organization approaches AI research as an empirical science akin to physics and biology. Headquartered in San Francisco, the company values strong communication, collaboration, and high-impact research directed toward trustworthy artificial intelligence.

How to Apply

Interested candidates should submit their application directly through the official Anthropic careers page.

Questions candidates ask

What locations is this job available in?

This role is available in San Francisco, CA, New York City, NY, or Seattle, WA, with a location-based hybrid policy requiring at least 25% time in the office.

What is the annual salary range for the Engineering Manager role?

The annual salary ranges from $500,000 to $850,000 USD.

How many years of management experience are required?

Candidates must have at least 1 year of management experience in a technical environment, particularly within performance or distributed systems.

Does Anthropic offer visa sponsorship for this position?

Yes, Anthropic does sponsor visas and works with an immigration lawyer to assist candidates who receive an offer.

What educational background is necessary?

A Bachelor’s degree in a relevant field of study, or an equivalent combination of education, training, and experience, is required.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site