Software Engineer, Tenstorrent
Acceleration Kernel Development
CA$100-500k
Building computers for AI
Open for applications
Building computers for AI
501-1000 employees
Open for applications
CA$100-500k
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- If you're motivated by performance, precision, and real impact, this is where your skills will shine
- A developer who loves high performance code, wrangling bits, optimizing compute, and making hardware fly
- Comfortable in C/C++ and able to build fast, efficient code from the ground up
- Obsessed with performance and precision, especially in tensors and ML workloads
- Motivated by complex problems and thrives in collaborative, fast-moving environments
- Expertise in building and optimizing compute kernels for parallel ML and high-performance workloads
- Ability to analyze and tune instruction-level performance across latency, memory, and bandwidth
- A collaborative mindset to work closely with ML engineers and integrate optimizations into production
- Ownership of debugging, profiling, and maintaining a fast, reliable low-level software stack
What the job involves
- As a Software Engineer on the Acceleration Kernel Development team at Tenstorrent, you’ll work at the intersection of software and hardware performance
- You’ll be writing low-level code that directly powers high-efficiency machine learning workloads, optimizing every cycle, every memory move, every instruction
- What You Will Learn:
- The art of pushing AI hardware to its limits by shaping how kernels are written and executed
- How to integrate kernel work into ML frameworks and real-world training pipelines
- Skills in tuning performance on cutting-edge architectures with top-tier hardware engineers
- Expertise in keeping code lean, reliable, and scalable even under heavy workloads
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
52% employee growth in 12 months
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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