Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a senior engineer to improve the reliability, performance, and user experience of the high-performance computing infrastructure that supports silicon development. This role sits at the intersection of EDA, distributed systems, CI/CD, and developer productivity. You will help engineering teams run simulations, verification, coverage, and other silicon-development workloads with fewer failures, shorter feedback cycles, and better operational visibility. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. 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. 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. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. 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.

Requirements

Must-haves

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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdsqlpython

Platform: greenhouse
Effort: quick