Senior Performance Infrastructure Engineer, Tenstorrent

Salary not provided

Python

C++

Senior and Expert level

Austin

San Francisco Bay Area

More information about location

Next-generation computing company building computers for AI

Open for applications

Next-generation computing company building computers for AI

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Open for applications

Salary not provided

Python

C++

Senior and Expert level

Austin

San Francisco Bay Area

More information about location

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Company mission

To bring unique solutions to the problems facing AI and machine learning.

Job

Company

Role

Who you are

Great at identifying problems and developing solutions
Enjoys building tools and optimizing work flows
Skilled in C++ and Python, with an understanding of industry-standard tools for compilation, simulation and emulation
Proficient in debugging RTL/logic across multiple design hierarchies and pre-silicon environments
Knowledgeable in architecture and microarchitecture of high-performance CPU cores
Ideal candidates would possess experience in infrastructure, methodology and performance verification

What the job involves

We are looking for a talented engineer to join our CPU design team to drive infrastructure for performance analysis, correlation and verification. You’ll work on a CPU based on RISC-V ISA, collaborating with core architects and RTL teams to deliver a highly efficient and performant design
Join a team driving improvements in CPU microarchitecture, verify performance and correlate with the RTL
Enhance design environment, tools, and methodologies to improve development efficiency
Collaborate closely with RTL engineers and core architects to meet performance goals, debug miscorrelation and verify performance features
Use innovative techniques to optimize power, performance, and area while driving performance experiments and evaluating results
What You Will Learn:
End-to-end exposure to CPU design from microarchitecture through performance convergence and validation
Hands-on experience optimizing CPU designs in both pre-silicon and post-silicon phases
Integration of open-source and industry-standard tools to improve flows and results
Work in a deeply technical, highly collaborative team solving cutting-edge CPU design challenges

Our take

Tenstorrent is a US- and Canada-based semiconductor startup specializing in processors for AI workloads. Rather than building gneral-purpose CPUs or GPus, the company develops custom chips and sofrware optimized for running moder AI models. As demand for AI accelerates, and as a global chip shortage reshapes the semiconductor industry, these trends have become strong tailwinds for Tenstorrent.

The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.

While the market for specialized AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

52% employee growth in 12 months

Glassdoor (3.5)

Company

Funding (last 2 of 7 rounds)

Dec 2024

$693m

SERIES D

Jun 2024

$300m

LATE VC

Total funding: $1.3bn

Company HQ

Flemingdon Park, Toronto, ON

Leadership

Jim Keller

(CEO)

Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.

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