Software Engineer, Compute Efficiency
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.
What this role actually needs.
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. Responsibilities: - Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across our cloud and datacenter fleets. - Design and implement cost attribution frameworks for our multi-tenant infrastructure, enabling teams to understand and optimize their resource consumption. - Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale. - Partner closely with cloud service providers and internal stakeholders to optimize cluster configurations, workload placement, and resource utilization across AI training and inference workloads—including large-scale clusters spanning thousands to hundreds of thousands of machines. - Develop and champion engineering practices around efficiency, driving a culture of performance awareness and cost-conscious design across Anthropic. - Collaborate with research and product teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency. Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Software Engineer, Compute Efficiency role.
- Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across our cloud and datacenter fleets.
- Design and implement cost attribution frameworks for our multi-tenant infrastructure, enabling teams to understand and optimize their resource consumption.
- Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.
- Partner closely with cloud service providers and internal stakeholders to optimize cluster configurations, workload placement, and resource utilization across AI training and inference workloads—including large-scale clusters spanning thousands to hundreds of thousands of machines.
- Develop and champion engineering practices around efficiency, driving a culture of performance awareness and cost-conscious design across Anthropic.
- Collaborate with research and product teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency.
Why this listing is more than a copied job post.
Software Engineer, Compute Efficiency is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
Work authorization read
Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in New York City should be compared against commute, local salary bands, and nearby employer demand.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to software engineer, compute efficiency is a high-signal on-site role in new york city, and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from job-boards.greenhouse.io, confirm the role is still active, then apply on the employer or ATS page.
Source: job-boards.greenhouse.io · Source ID: 5108982008 · Confidence: 97/100 · Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs