Senior Engineer, System-Level Design Verification
Tenstorrent
Apply to this jobTenstorrent 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.
Tenstorrent is seeking a Senior Engineer, System-Level Design Verification to ensure our AI silicon delivers reliable, scalable performance in real workloads. You will validate full-system behavior, from connectivity to throughput, across large distributed compute platforms.
This role is hybrid, based out of Toronto, Austin, TX or Belgrade, Serbia.
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
- Experienced verification engineer focused on full-system behavior, not only block-level micro-architecture.
- Strong at analyzing AI workload performance and hardware interaction end-to-end.
- Comfortable debugging complex issues with both hardware and software teams.
- Obsessed with reliability, observability, and operational excellence across compute platforms.
What We Need
- Validate system connectivity, coherency, and functionality across large, distributed AI compute systems.
- Measure and tune performance for end-to-end AI workloads to hit silicon targets.
- Define and evolve observability, diagnostics, and system-level test frameworks.
- Align verification plans with silicon goals in partnership with hardware and software teams.
What You Will Learn
- How to validate massive distributed systems purpose-built for advanced AI workloads.
- Techniques for correlating workload behavior, performance counters, and hardware bottlenecks.
- How software stacks and hardware co-design come together in state of art AI platforms.
- How to scale system validation for rapidly evolving architectures and product generations.
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.
Summary
validate system behavior and performance across distributed AI platforms, ensuring reliability and scalability
Job title
Senior Engineer, System-Level Design Verification
Experience level
various
Industry
software
Location requirements
hybrid, based out of Toronto, Austin TX or Belgrade Serbia
Salary
ranging from $100k - $500k including base and variable compensation targets
Visa sponsorship
H-1B sponsor history
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Toronto, ON, Canada