Anthropic · 3 months ago
Software Engineer, Languages
Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. They are seeking a foundational member for their Languages Team to shape the use of Python, Rust, and Go in AI development, responsible for building language infrastructure and ensuring developer productivity across diverse workloads.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Design and build foundational language infrastructure for Python, Rust, and/or Go that supports both AI research workflows and production-scale systems
Define and implement language ecosystem standards, best practices, tooling, libraries, and frameworks that ensure safety, performance, and exceptional developer productivity across diverse AI workloads
Establish language-specific CI/CD pipeline integration, testing frameworks, and deployment strategies optimized for AI development cycles
Partner extensively with infrastructure teams to ensure seamless integration between language-specific tools and broader platform services, such as debugging Kubernetes issues, optimizing node instance types for performance, and collaborating on cross-cutting infrastructure challenges
Collaborate closely with research and engineering teams to understand emerging requirements and translate them into robust, scalable language infrastructure, including cross-language interoperability solutions
Drive technical strategy for language adoption, migration paths, large-scale cross-cutting changes, and ecosystem evolution as Anthropic scales, while mentoring engineers and researchers on language best practices
Lead incident response and troubleshooting for language-related issues across research and production environments
Qualification
Required
5+ years of production software engineering experience with deep expertise in at least one of Python, Rust, or Go
Strong experience in developer tooling, build systems (including Nix), dependency management, and worked extensively with monorepos
Comfortable working across the stack, including debugging infrastructure issues like Kubernetes problems or optimizing system performance
Strong communication and collaboration skills to work effectively with diverse teams including researchers, engineers, and infrastructure specialists
Excited about defining foundational systems and processes and are comfortable working independently on ambiguous, high-impact technical challenges
At least a Bachelor's degree in a related field or equivalent experience
Preferred
Built core language infrastructure like compilers, interpreters, package ecosystems, or maintained widely-used open-source developer tools with significant adoption
Expertise in performance optimization across language runtimes or cross-language interop technologies
Experience with AI/ML research-to-production workflows, understanding the unique challenges of supporting both experimental research code and production model training/serving pipelines
Benefits
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
A lovely office space in which to collaborate with colleagues
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Recent News
2026-01-11
Insurance giant Allianz signs Claude Code deal with Anthropic | CIO
2026-01-11
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