Sr. Engineer, Silicon Development Infrastructure

Who You Are

• Hold an advanced engineering degree (BS, MS, or PhD in EE, ECE, CS, or related field) paired with over seven years of hands-on industry experience.
• Bring expertise in Git branch strategies, merge conflict resolution, operational failure debugging, and software engineering repository management practices.
• Possess practical working knowledge of SQL databases, data query optimization, and modern structured data technologies.
• Leverage AI-assisted development tools and agentic workflows to solve complex technical problems, enhance automated testing, and streamline debugging.
• A systems-oriented engineer driven to unblock technical teams, eliminate developer friction, and elevate overall productivity.

What We Need

• Design, build, and maintain reliable build, execution, and simulation flows for verification, functional safety, formal analysis, and EDA processes.
• Analyze system performance bottlenecks, workload patterns, and infrastructure execution to optimize throughput and reduce engineer wait times.
• Build resilient, monitored operational services with automated recovery, actionable diagnostics, and feedback loops for CI/CD and repository health.
• Develop AI-agent workflows, tools, and reusable skills that accelerate problem-solving and streamline software development and testing practices.
• Partner with cross-functional engineering teams to transform recurring hardware and software integration failures into durable system solutions.

What You Will Learn

• Hands-on experience developing infrastructure and automated workflows that support AI-assisted, autonomous engineering on production codebases.
• Opportunities to architect end-to-end infrastructure solutions targeting complex challenges in high-performance computing and semiconductor design.
• Practical expertise applying agentic AI frameworks directly to automated test staging, failure diagnosis, and production-grade engineering workflows.
• Comprehensive technical exposure to industrial EDA toolchains, verification methodology, and hardware execution flows for RISC-V cores.
• Deep proficiency across specialized industrial tools including Python, GitLab, Jenkins, Simscope, SQL, VCS, Cursor, Claude, LSF, Jasper, and Z01X.

Additional information

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).

These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.

If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.