Tenstorrent Inc. Logo

Tenstorrent Inc.

Front End Design Verification Engineer

Posted Yesterday
In-Office or Remote
Hiring Remotely in Santa Clara, CA, USA
100K-500K Annually
Senior level
In-Office or Remote
Hiring Remotely in Santa Clara, CA, USA
100K-500K Annually
Senior level
Verify the front end of high-performance RISC-V CPU cores, including instruction fetch, branch prediction, decode, dispatch, and speculative execution. Develop verification strategies, SystemVerilog/UVM testbenches, constrained-random tests, assertions, and functional coverage. Debug RTL and simulation failures using waveforms and collaborate with CPU architects, RTL designers, and software teams to identify root causes and ensure correctness across workloads and corner cases.
The summary above was generated by AI

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.

Tenstorrent is looking for a Front End Design Verification Engineer to help verify the fetch unit for our next generation of high-performance RISC-V CPU cores. You’ll work on the logic responsible for keeping the processor fed with the right instructions at the right time—from instruction fetch and prediction through decode and dispatch. You’ll partner closely with CPU architects and RTL designers to develop verification strategies, create sophisticated tests, debug complex failures, and ensure the front end behaves correctly across a wide range of workloads and corner cases. This is an opportunity to make a direct impact on the performance and correctness of a high performance out-of-order CPU.

This role is remote, based out of North America or Spain.

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

  • A hands-on verification engineer who enjoys digging into complex processor behavior and finding subtle bugs.
  • Comfortable working with CPU front-end concepts such as instruction fetch, branch prediction, instruction decode, queues, and dispatch.
  • A strong problem solver who can move between specifications, RTL, simulations, and waveforms to identify root causes.
  • Collaborative and proactive, with the ability to work closely with architects, RTL designers, and other DV engineers.
  • Curious about high-performance CPUs and excited to learn how microarchitectural decisions impact real-world processor performance.

What We Need

  • 6+ years of experience in design verification for CPUs, SoCs, ASICs, or other complex digital designs.
  • Strong experience with SystemVerilog and UVM, including constrained-random testing, assertions, functional coverage, and testbench development.
  • Solid understanding of CPU architecture, with familiarity in areas such as pipelines, instruction fetch/decode, branch prediction, speculative execution, or out-of-order execution.
  • Experience debugging RTL and simulation failures using waveforms and standard simulation/debug tools.
  • Strong programming skills in C/C++ and/or Python, with the ability to collaborate effectively across architecture, RTL, DV, and software teams.

What You Will Learn

  • Gain deep experience verifying the front end of a high-performance, out-of-order RISC-V CPU.
  • Learn how instruction fetch, branch prediction, decode, and dispatch work together to keep a modern CPU pipeline running efficiently.
  • Develop expertise in verifying speculative execution and the complex corner cases created by branches, redirects, exceptions, and pipeline flushes.
  • Learn how architectural specifications and microarchitectural designs translate into RTL and comprehensive verification environments.
  • Work alongside CPU architects and RTL engineers on processors designed for demanding AI, HPC, and high-performance computing workloads.

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.

Tenstorrent Inc. Santa Clara, California, USA Office

Santa Clara, California, United States

Similar Jobs

5 Hours Ago
In-Office or Remote
USA
116K-193K Annually
Senior level
116K-193K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads strategic feasibility analytics for global clinical trials, developing evidence-based country, site, enrollment, and protocol optimization strategies. Partners with cross-functional teams to assess recruitment assumptions, competitive intelligence, real-world data, site performance, and clinical trial technologies. Oversees feasibility outreach, site selection, scenario planning, portfolio intelligence, and KPI delivery while improving study startup and recruitment processes. Provides senior-level recommendations and influences stakeholders across Pfizer’s clinical development organization.
Top Skills: Decentralized Clinical Trial (Dct) TechnologiesProtocol SimulationsReal-World Data AnalyticsSite Predictability Engine
5 Hours Ago
Easy Apply
Remote
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Edtech • HR Tech • Sales • Software • Generative AI
Leads the GTM Systems function, owning the commercial technology stack, AI operating model, vendor lifecycle, systems roadmap, and adoption strategy. Manages five senior individual contributors across Salesforce, marketing/BDR, customer success systems, and web operations. Partners with executive stakeholders to identify automation opportunities, build reliable AI agents, measure business impact, and drive cross-functional change across the revenue organization.
Top Skills: Ai AgentsAi Evaluation ToolsCRMData EnrichmentLlmsMarketing AutomationMarketoSalesforce
5 Hours Ago
Remote or Hybrid
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.
Top Skills: AWSBig Data TechnologiesLinuxLlmsMachine LearningMachine Learning FrameworksMl OperationsPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account