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← Tenstorrent

Interconnect and Compute Architect

Tenstorrent · Santa Clara, California, United States · Santa Clara

CHECKED 23H AGO

Infrastructureonsite$100k–$500k
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At a glance

Highlights

  • Define next-generation CPU networking architecture for datacenter and robotics.
  • Seed and specify future low-power devices for AI/ML compute and sensor ingest.
  • Build extreme low-latency networks for high-performance AI workloads.

What they offer

  • Highly competitive compensation package and benefits
  • Base and variable compensation targets

Ideal candidate

You thrive in ambiguity, juggling multiple priorities while collaborating across hardware, software and systems. Curious and driven, you care about pushing AI performance and solving hard architecture problems.

Requirements

  • Knowledge of Ethernet network architecture and how performance is modeled
  • Experience with die-to-die interfaces, protocols and design tradeoffs
  • Understanding of Ethernet networking concepts mapped to on-chip and off-chip fabrics
  • Experience with datacenter scale-up architectures like UALink, NVLink and Broadcom SUE
  • Experience with scale-out RDMA protocols like RoCE and InfiniBand
  • Comfortable at intersection of forwarding, buffering, modeling and RTL design
  • Ability to collaborate across hardware, software and systems teams
remote policy
Remote, based out of North America
hiring process
Candidates will be assessed for the appropriate level during the interview process, and offers will align with 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 ↗