Greenhouse ·
full-timeStaff+ Software Engineer, Research Systems Engineering
Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Anthropic builds AI systems that aim to be reliable, interpretable and steerable, focusing on safety and societal benefit. The Staff+ Software Engineer in Research Systems Engineering joins the Infrastructure organization, which provides the distributed platforms that train, serve and secure the company’s models. In this role you will work closely with research teams to understand their computational needs and then design, scope and deliver large‑scale infrastructure projects that span several months. You will take ownership of the reliability, scalability and security of the systems you build, drive improvements to operational processes such as incident response and on‑call rotations, mentor other engineers and help shape technical direction across multiple teams. The position suits engineers with a track record of leading complex, ambiguous projects in production environments, strong fundamentals in languages like Python, Rust, Go or Java, experience with cloud and container technologies (Kubernetes, AWS/GCP), and preferably background in machine‑learning workloads, low‑level systems or security engineering.
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 Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. Every other team at Anthropic depends on these systems. In this role, you'll work directly with our Research teams to build the reliable, scalable, performant infrastructure our research depends on. This is a cross-functional systems team: you'll scope and lead complex, multi-month infrastructure projects and resolve the performance and scalability bottlenecks that limit how fast we can grow. Key responsibilities Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Build deep partnerships with researchers and Research teams to understand their needs and deliver for them Mentor other engineers and help raise the technical bar for the team Build alignment on technical direction across multiple teams, working through ambiguous problem spaces Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow Lead the improvement of operational processes across Infrastructure, such as incident response, postmortems, and on-call rotations, so the team learns from every incident Minimum qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production Experience independently scoping and delivering complex, ambiguous, multi-month technical projects Prior experience as a technical lead or mentor for other engineers Experience making architectural decisions that other engineers and teams build on top of Strong software engineering fundamentals and proficiency in at least one programming language (e.g., Python, Rust, Go, Java) Experience with modern cloud infrastructure (e.g., Kubernetes, infrastructure as code, AWS, GCP) Strong written and verbal communication skills, with experience building alignment across multiple teams or stakeholders Preferred qualifications 10+ years of software engineering experience, not including internships Experience with machine learning infrastructure (e.g., GPUs, TPUs, Trainium) and associated networking infrastructure (e.g., NCCL) Low-level systems experience (e.g., Linux kernel tuning, eBPF) Experience applying security or privacy engineering best practices 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: $320,000 — $485,000 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 candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthro
| Role | Staff+ Software Engineer, Research Systems Engineering |
|---|---|
| Company | Anthropic |
| Location | Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-07 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Staff+ Software Engineer, Research Systems Engineering at Anthropic: frequently asked questions
- What is the salary for this role?
- Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Staff+ Software Engineer, Research Systems Engineering position remote, hybrid or onsite?
- The listing marks this role as remote, with Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY as the location.
- What is the application deadline?
- Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Staff+ Software Engineer, Research Systems Engineering role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
More at Anthropic
Other jobs at Anthropic
- Head Of Sales Excellence & Methodology · San Francisco, CA | New York City, NY
- Communications Manager, The Anthropic Institute · San Francisco, CA | New York City, NY
- Corporate Accounting · San Francisco, CA | Seattle, WA
- AI Outcomes Manager, GSI · San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
- Technical Editor · San Francisco, CA | New York City, NY
Explore Related Placements
// similar opportunities
You might also like
Software Engineer, Memory & Search
Anthropic
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 s...
Staff Software Engineer
Aircall
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale custome...
Staff Software Engineer
Checkout.com
Company Description We’re Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of ...
Staff Software Engineer
Bazaarvoice
At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect tho...
Staff Software Engineer
Nozominetworks
Now is an amazing time to join Nozomi Networks as we build the future of OT and IoT cybersecurity. We defend some of the world’s largest organizations and criti...
Staff Software Engineer
Pleo
About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changin...