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Sr. Engineer, Silicon Development Infrastructure
Tenstorrent · Austin, TX · Posted 23 days ago
Architect high-performance computing infrastructure that eliminates developer friction and accelerates silicon verification workflows at scale.
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.
- 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.
- 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.
- 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.
This posting is sourced from Tenstorrent's own career site — applying takes you there directly.
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