Joblaze summary

In the role of Engineering Manager for GPU at Anthropic, the individual will lead efforts to enhance model performance and optimize both inference and training systems. This position requires a solid understanding of machine learning and distributed systems, along with management experience in a technical environment. Ideal candidates will have a background in AI and demonstrate strong relationship-building skills, particularly in fast-paced settings. Anthropic emphasizes collaboration and aims to develop AI systems that are safe and beneficial, making this role pivotal in their mission.

Joblaze insights

Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Anthropic's careers page October 26, 2026.
Salary band is above the typical range for Management roles (median ~$170,000).
Starts above 100% of 88 comparable management roles in United States that list AI we track (median $172,280 across 52 companies). See AI salary trends
AI appears in 4.8% of 3057 comparable management roles in United States; Transformers appears in 0.1% of 3057 comparable management roles in United States.

Quick facts

Is the Engineering Manager, GPU (ML Accelerator) role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY | Seattle, WA.
What's the salary range?: Anthropic lists $500,000–$850,000 for this role.
How much experience is required?: At least 1 year of relevant experience for this Engineering Manager, GPU (ML Accelerator) role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, CA | New York City, NY | Seattle, WA.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI, GPU, ML Accelerator, Machine Learning, Transformers, distributed systems.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
Is this full-time or contract?: Full-time for this Engineering Manager, GPU (ML Accelerator) role at Anthropic.

From the original posting

About Anthropic

About the role:

Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training. As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment.

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
Maintain a deep understanding of the team's technical work and its implications for AI safety

You may be a good fit if you:

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
Have experience managing teams through periods of rapid growth and change
Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective

Strong candidates may also have experience with:

High performance, large-scale ML systems
GPU/Accelerator programming
ML framework internals
OS internals
Language modeling with transformers

The annual compensation range for this role is listed below.

Annual Salary:

$500,000—$850,000 USD

Logistics

Standard company text repeated across Anthropic's postings is omitted here.

Engineering Manager, GPU (ML Accelerator)