{"slug": "staff-senior-software-engineer-inference-anthropic", "title": "Staff + Senior Software Engineer, Inference — Anthropic", "summary": "Anthropic is hiring a Staff or Senior Software Engineer for its Inference team in Ontario, Canada, to build and maintain the distributed systems serving Claude to millions of users worldwide. The role focuses on maximizing compute efficiency, developing intelligent request routing, and integrating new AI accelerator platforms, with a salary not published and on-site work required.", "body_md": "# Staff + Senior Software Engineer, Inference\n\n- Salary\n- Not published\n- Location\n- Ontario, CAN\n- Work type\n- On-site\n- Level\n- Staff\n- Posted\n- today\n\n[\nApply on company site (opens in new tab) ](https://job-boards.greenhouse.io/anthropic/jobs/5385998008)\n\nAbout Anthropic\n\nAnthropic’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.\n\nAbout the role\n\nOur 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.\n\nThe 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.\n\nInference 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.\n\nKey responsibilities\n\nDesign, build, and maintain the distributed systems that serve Claude to millions of users worldwide\n\nDevelop resilient, flexible systems that adapt in real time to real world events\n\nDevelop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators\n\nMaximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads\n\nBuild and operate production-grade deployment pipelines for releasing new models to users\n\nProvide high-performance inference infrastructure that enables researchers to develop next-generation models\n\nIntegrate new AI accelerator platforms and support inference for new model architectures\n\nMinimum qualifications\n\nSignificant software engineering experience, particularly with distributed systems\n\nResults-oriented, with a bias towards flexibility and impact\n\nWillingness to pick up slack, even if it goes outside your job description\n\nDesire to learn more about machine learning systems and infrastructure\n\nThrive in environments where technical excellence directly drives both business results and research breakthroughs\n\nCare about the societal impacts of your work\n\nPreferred qualifications\n\nExperience with high-performance, large-scale distributed systems\n\nExperience implementing and deploying machine learning systems at scale\n\nExperience with load balancing, request routing, or traffic management systems\n\nFamiliarity with LLM inference optimization, batching, and caching strategies\n\nExperience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)\n\nProficiency in Python or Rust\n\nRepresentative projects\n\nDesigning intelligent routing algorithms that optimize request distribution across many accelerators in different environments\n\nAutoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads\n\nBuilding production-grade deployment pipelines for releasing new models to millions of users reliably\n\nContributing to new inference features\n\nSupporting inference for new model architectures\n\nAnalyzing observability data to tune performance based on real-world production workloads\n\nManaging multi-region deployments and geographic routing for global customers\n\nDeadline to apply: None. Applications will be reviewed on a rolling basis.\n\nLogistics\n\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\n\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n\nLocation-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.\n\nVisa 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.\n\nWe 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.\n\nYour 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 anthropic.com/careers directly for confirmed position openings.\n\nHow we're different\n\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\n\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\n\nCome work with us!\n\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.", "url": "https://wpnews.pro/news/staff-senior-software-engineer-inference-anthropic", "canonical_source": "https://frontierroles.com/jobs/anthropic-staff-senior-software-engineer-inference-09a746/", "published_at": "2026-08-17 19:13:40+00:00", "updated_at": "2026-08-18 02:11:51.519000+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-products", "ai-research"], "entities": ["Anthropic", "Claude", "AWS", "GCP", "Azure"], "alternates": {"html": "https://wpnews.pro/news/staff-senior-software-engineer-inference-anthropic", "markdown": "https://wpnews.pro/news/staff-senior-software-engineer-inference-anthropic.md", "text": "https://wpnews.pro/news/staff-senior-software-engineer-inference-anthropic.txt", "jsonld": "https://wpnews.pro/news/staff-senior-software-engineer-inference-anthropic.jsonld"}}