Jobs / United States / Anysphere UK Ltd
Software Engineer, ML Infrastructure
Anysphere UK Ltd · 🇺🇸 San Francisco; New York
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer does not appear with approvals in the government data SponsorApply holds.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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Sponsor Radar — Anysphere UK Ltd
This employer does not appear with approvals in the government data SponsorApply holds.
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About the role
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE The ML Infrastructure team builds large-scale compute, storage, and software infrastructure to support Cursor’s work building the world’s best agentic coding model. We’re looking for strong engineers who are interested in building high-performance infrastructure and the software to support it. This role works closely with ML researchers and engineers to enable their work through improvements to our training framework, systems reliability/performance, and developer experience. WHAT YOU’LL DO - Collaborate with ML researchers to improve the throughput and reliability of training - Work with OEMs, cloud service providers, and others to plan and build cutting-edge GPU infrastructure - Improve the density and scalability of compute environments to enable increasingly large RL workloads - Create software and systems to automate building, monitoring, and running GPU clusters - Build workload scheduling and data movement systems to support Cursor’s growing training footprint YOU MAY BE A FIT IF - A strong background in systems and infrastructure-focused software engineering, particularly in Python, Typescript, Rust, and Golang - Experience with distributed storage and networking infrastructure, particularly on Linux systems across cloud and bare metal environments - Exposure to large-scale systems and their unique challenges, ideally across thousands of nodes with significant resource footprints. - Production use of infrastructure-as-code and configuration management, across hosts and Kubernetes NICE TO HAVE - Operational exposure to Nvidia GPUs with Infiniband or RoCE, particularly with Blackwell and Hopper-class hardware - Exposure to Ray, Slurm, or other common compute and runtime schedulers #LI-DNI