Engineering Manager, GPU (ML Accelerator)

Confirmed live in the last 24 hours

Anthropic

Compensation

$500,000 - $850,000/year

San Francisco, CA | New York City, NY | Seattle, WA

Hybrid

Posted April 1, 2026

Job Description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$500,000—$850,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candi

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