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← Tenstorrent

Software Engineer, TT-Distributed

Tenstorrent · Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada · Austin · Santa Clara · Toronto

CHECKED 22H AGO

Infrastructureonsite$100k–$500k
Apply on the lab’s site ↗

At a glance

Highlights

  • Develop distributed systems powering efficient, high-performing AI clusters.
  • Advance distributed inference and training infrastructure at scale.
  • Learn how large-scale systems scale across thousands of accelerators.

What they offer

  • Highly competitive compensation package and benefits

Ideal candidate

Curious, collaborative systems thinker excited by large-scale distributed computing and first-principles design. Motivated to grow into a deep expert in AI infrastructure and solve hard scalability and reliability challenges.

Requirements

  • Strong foundations in systems programming, operating systems and distributed systems principles
  • Enthusiasm for distributed computing including IPC, socket programming and cluster resource coordination
  • Comfort reasoning about scalability, fault tolerance and performance across multi-node environments
  • Ability to architect and optimize distributed software coordinating computation across AI accelerators and CPUs
  • Experience building testing, debugging, profiling and monitoring tools for large-scale distributed workloads
remote policy
hybrid
hiring process
Candidates will be assessed for the appropriate level during the interview process, with offers aligned to that level.

Lab profile

About Tenstorrent

Builds high-performance RISC-V CPUs and AI accelerators with full-stack software for efficient AI computing.

What they build

  • AI accelerators
  • RISC-V CPUs
  • AI software and compilers

Known for

  • Custom RISC-V CPU development from scratch
  • Full-stack AI hardware and software
  • Performance, ease of use and cost efficiency

Key facts

  • Founded in 2016
  • Headquartered in Toronto, Canada
  • Backed by Samsung and Hyundai Motor Group
More about Tenstorrent →
Apply on the lab’s site ↗