Machine Learning/Artificial Intelligence Engineer, Tenstorrent

CAD Infrastructure

$100-500k

+ Variable Compensation Targets

SQL

Python

Tensorflow

C++

NumPy

Pandas

Scikit-Learn

PyTorch

Senior and Expert level

Austin

San Francisco Bay Area

Building computers for AI

Open for applications

Building computers for AI

501-1000 employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Open for applications

$100-500k

+ Variable Compensation Targets

SQL

Python

Tensorflow

C++

NumPy

Pandas

Scikit-Learn

PyTorch

Senior and Expert level

Austin

San Francisco Bay Area

501-1000 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

Master's degree or Ph.D. in Computer Science, Electrical Engineering, or related field
5+ years of experience in post-silicon validation, silicon bring-up, or CAD infrastructure development
Strong background in machine learning and deep learning frameworks (PyTorch, TensorFlow)
Proficiency in Python and experience with data analysis libraries (NumPy, Pandas, Scikit-learn)
Strong understanding of computer architecture and instruction set architectures (ISAs)
Experience with post-silicon validation tools and methodologies## Technical Skills
Machine Learning: Deep learning, reinforcement learning, neural networks
Programming: Python, C++, Assembly, Shell scripting
ML Frameworks: PyTorch, TensorFlow, Scikit-learn
Debug Tools: ILA, JTAG, trace analyzers
Data Analysis: SQL, Pandas, NumPy, signal processing## Soft Skills
Strong analytical and problem-solving abilities
Excellent communication skills to collaborate with cross-functional teams
Ability to drive innovation in a fast-paced environment

What the job involves

We are seeking an experienced Machine Learning/AI Engineer to join our CAD Infrastructure team
The ideal candidate will bridge the gap between traditional semiconductor validation methodologies and cutting-edge AI/ML techniques to revolutionize our post-silicon validation infrastructure
Develop ML-powered systems for automated post-silicon validation and debug
Build and maintain infrastructure for large-scale silicon characterization and testing
Create predictive models for silicon behavior analysis and performance optimization
Implement AI-driven solutions for anomaly detection in silicon bring-up and validation
Build ML pipelines for processing and analyzing massive post-silicon validation datasets
Develop infrastructure for automated root cause analysis of silicon issues

Our take

Advances in artificial intelligence apps, combined with a global chip shortage, are strong tailwinds for chip processor Tenstorrent. The semi-conducter developer is designing specialized chips for running artificial intelligence applications, building chips for what it calls "software 2.0".

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 specialised 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 (4.5)

Company

Funding (last 2 of 7 rounds)

Dec 2024

$700m

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.

Milos Trajkovic

(Co-Founder & Director of Hardware Engineering)

Former Manager of Firmware Design Engineering at AMD, and FPGA design engineer at Signum Concepts.

Ivan Hamer

(Co-Founder)

Former Consulting Software/Embedded Engineer at AMD, and Senior Software Developer at iNTERFACEWARE.

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