Software Engineer, Sandboxing (Systems)

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

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Learning budget

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Verification

Not verified

Salary

$300K-$405K From the posting source

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

202% above the BLS role benchmark for software engineering aggregate.

Posted salary is far from this role benchmark; treat it as low confidence.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered From the posting source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, Sandboxing (Systems) San Francisco, CA | New York City, NY 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. Anthropic is seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you'll work on accelerating and optimizing our virtualization and VM workloads that power our AI infrastructure. Your expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models. Responsibilities: - Optimize our virtualization stack, improving performance, reliability, and efficiency of our VM environments - Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure - Investigate and resolve performance bottlenecks in virtualized environments - Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware - Develop tooling for monitoring and improving virtualization performance - Work with our ML engineers to understand their computational needs and optimize our systems accordingly - Contribute to the design and implementation of our next-generation compute infrastructure - Share knowledge with team members on low-level systems programming and Linux kernel internals - Partner with cloud providers to influence hardware and platform features for

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