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.

In this role, you will play a crucial part in ensuring the performance of our RISC-V CPUs through creation of performance stimulus and debug of custom and industry standard workloads. You will be mentored by and work closely with design and architecture teams to validate the performance of our advanced CPU designs.

This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX.

Responsibilities:

• Develop test plans and stimulus for performance verification
• Perform simulations using standard tools and emulation
• Bring up of industry standard and open-source performance workloads
• Debug sources of miscorrelation between RTL design and performance model
• Identify bottlenecks and work with team members to make fixes in performance model and/or RTL
• Work with design, test and post silicon validation teams to ensure high quality delivery of the entire CPU core
• Creation, enhancement and maintenance of performance tracking infrastructure, reports and debug tools

Experience & Qualifications:

• Final year BS/MS/PhD in EE/ECE/CE/CS with a strong GPA
• Prior academic work in the field of computer architecture, internship experience preferred
• Internship or academic projects in one or more ISAs – x86, ARM or RISC-V
• Knowledge of assembly, C/C++
• Hands-on scripting (Python, PERL)
• Experience with hardware description languages (Verilog, VHDL)
• Strong problem solving and debug skills