Heterogeneous SoC Simulation Architect

Tenstorrent

86d • $100,000 - $500,000

About The Position

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 an experienced Heterogeneous SoC Simulation Architect. In this role, you will be responsible for leading the development of advanced simulation environments for cutting-edge computing architectures composed of CPU, ML compute, memory, and scale-up and scale-out network technologies. Workloads to be evaluated consist of cutting-edge ML as well as future-looking heterogeneous programs. You will collaborate with hardware engineers, software developers, and domain experts to deliver simulation environments that will guide architectural design and optimization. This is open to remote or in-person at one of our offices. 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.

Requirements

• 15+ years of experience in large-scale simulation environments.
• Strong skills in coding performance models in C++ and building simulation frameworks (e.g., GEM5, SST).
• Expertise in HPC or data-center architecture design: processors, accelerators, interconnects, and memory systems.
• Proficiency in analyzing large-scale workloads using open-source or custom simulation tools.
• Strong programming skills (C, C++, Fortran, Python) and familiarity with parallel programming (MPI, OpenMP, CUDA, OpenCL).

Nice To Haves

• Experience in optimizing ML applications across hardware micro-architecture and software stacks.
• Ability to balance simulation accuracy and performance to drive architectural decisions.
• Curiosity and eagerness to explore emerging technologies in ML, HPC, and data-center system design.

Responsibilities

• Lead the development of advanced simulation environments for computing architectures.
• Evaluate workloads consisting of cutting-edge ML and heterogeneous programs.
• Collaborate with hardware engineers, software developers, and domain experts.
• Deliver simulation environments that guide architectural design and optimization.

Benefits

• Highly competitive compensation package.
• Equal opportunity employer.

What This Job Offers

• Career Level: Senior
• Number of Employees: 501-1,000 employees