# Staff + Senior Software Engineer, Inference Source: https://realanalystjobs.com/job/staff-senior-software-engineer-inference-anthropic-5558a542 Staff + Senior Software Engineer, Inference at Anthropic, an on-site role based in Can, Canada. Posted on 17 August 2026, read from Anthropic's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. The posting says the employer sponsors visas or will consider it. Updated 15 November 2026. ## Key facts - Company: [Anthropic](https://realanalystjobs.com/companies/anthropic) - Location: Can, Canada - Work mode: On-site - Posted: Aug 17, 2026 - Employment type: Full time - Source: Anthropic's careers page (Greenhouse), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), AWS, Azure ## Visa sponsorship The posting says the employer sponsors visas or will consider it. Confirm with the employer before you apply. Anthropic had H-1B petitions approved for 189 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/anthropic#h1b-record) ## About this role 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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities • Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide • Develop resilient, flexible systems that adapt in real time to real world events • Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators • Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads • Build and operate production-grade deployment pipelines for releasing new models to users • Provide high-performance inference infrastructure that enables researchers to develop next-generation models • Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications • Significant software engineering experience, particularly with distributed systems • Results-oriented, with a bias towards flexibility and impact • Willingness to pick up slack, even if it goes outside your job description • Desire to learn more about machine learning systems and infrastructure • Thrive in environments where technical excellence directly drives both business results and research breakthroughs • Care about the societal impacts of your work Preferred qualifications • Experience with high-performance, large-scale distributed systems • Experience implementing and deploying machine learning systems at scale • Experience with load balancing, request routing, or traffic management systems • Familiarity with LLM inference optimization, batching, and caching strategies • Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) • Proficiency in Python or Rust Representative projects • Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments • Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads • Building production-grade deployment pipelines for releasing new models to millions of users reliably • Contributing to new inference features • Supporting inference for new model architectures • Analyzing observability data to tune performance based on real-world production workloads • Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 agenci Description from Anthropic's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/staff-senior-software-engineer-inference-anthropic-5558a542) and use Apply now there to reach the employer's application. The listing is re-checked against Anthropic's careers page daily and removed when it closes. ## Anthropic 11 open analyst roles on Real Analyst Jobs. [More roles at Anthropic](https://realanalystjobs.com/companies/anthropic) ## More like this ### Other open roles at Anthropic - [Enforcement Analyst, Agentic Alignment](https://realanalystjobs.com/job/enforcement-analyst-agentic-alignment-anthropic-c4a050c6), Boston Massachusetts, USA (On-site) - [Brand Insights, Measurement Lead](https://realanalystjobs.com/job/brand-insights-measurement-lead-anthropic-af9b6838), San Francisco New York, USA (On-site) - [Finance Systems Analyst, Tax](https://realanalystjobs.com/job/finance-systems-analyst-tax-anthropic-80f815ad), San Francisco Washington, USA (On-site) - [Senior Business Systems Analyst, Finance Systems](https://realanalystjobs.com/job/senior-business-systems-analyst-finance-systems-anthropic-068127fc), San Francisco Washington, USA (On-site) - [Marketing Analytics Lead, Enterprise Marketing](https://realanalystjobs.com/job/marketing-analytics-lead-enterprise-marketing-anthropic-701e8e65), San Francisco New York, USA (On-site) - [Data analyst jobs in Canada](https://realanalystjobs.com/jobs/data-analyst-jobs-in-canada) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/staff-senior-software-engineer-inference-anthropic-5558a542) - [Anthropic on Real Analyst Jobs](https://realanalystjobs.com/companies/anthropic) - [All analyst jobs](https://realanalystjobs.com/jobs)