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 talented engineer to join our CPU design team to define and implement RTL for high-performance CPUs. You’ll work on a CPU based on RISC-V ISA, collaborating with DV, PD, and performance teams to deliver a functional, timing, and power-converged design.
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
- Experienced in CPU microarchitecture with expertise in Rename, Scheduler, ROB, Load Store, Branch Prediction, Cache or Datapath.
- Skilled in RTL coding (Verilog/VHDL) and familiar with industry-standard tools for simulation, synthesis, and power analysis.
- Proficient in debugging RTL/logic across multiple design hierarchies and pre/post-silicon environments.
- Background in microarchitecture definition, design specification, and performance-driven trade-off analysis.
What We Need
- Own RTL design and microarchitecture development for a portion of a CPU block of a high-performance RISC-V CPU.
- Collaborate closely with DV, PD, and performance engineers to meet functional, timing, and power goals.
- Use innovative techniques to optimize power, performance, and area while driving RTL experiments and evaluating results.
- Partner with validation and test teams to ensure robust pre-silicon and post-silicon execution.
- Enhance RTL design environment, tools, and methodologies to improve development efficiency.
What You Will Learn
- End-to-end exposure to CPU design from microarchitecture through timing and power convergence.
- Hands-on experience optimizing high performance CPU designs in both pre-silicon and post-silicon phases.
- Integration of open-source and industry-standard tools to improve RTL flows and results.
- Work in a deeply technical, highly collaborative team solving cutting-edge CPU design challenges.
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
What you need to know about the San Francisco Tech Scene
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
