Data and DevOps Engineer, Tenstorrent
Architecture
$100-500k
+ Variable Compensation
Building computers for AI
Be an early applicant
Building computers for AI
501-1000 employees
Be an early applicant
$100-500k
+ Variable Compensation
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- Master’s degree in data engineering or another similar field
- 5+ years of experience in developing data pipelines and automation
- Proven track record of creating dashboards or interactive data visualizations, with preference for making it easy to share, extend, or modify the visualization for further analysis by using Apache Superset or similar Business Intelligence tools
- Proficiency in Python
- Experience using and configuring Linux systems
- Experience writing SQL queries (e.g., to query Postgres or SQLite)
- Basic familiarity with git version control
- Some experience building C/C++ tools from source
- Experience with automated pipelines that integrate with local or cloud-based services (e.g., with REST APIs), such as CI/CD or test automation systems
- Experience in Linux cluster administration or working with batch schedulers (e.g., Slurm)
- Experience running and gathering data from any simulation or modeling tool
- Knowledge of computer hardware design or CPU performance benchmarks (e.g., SPEC INT, Geekbench)
What the job involves
- We’re seeking a hands-on problem solver to manage data pipelines associated with performance metrics, to help monitor the Slurm cluster where simulations run to generate those metrics, and to improve workflows that support hardware architecture refinement
- You'll work closely with experts across multiple disciplines to enable data-driven insights for optimizing future-generation CPUs and AI systems
- Join us to enable smarter workflows and optimize innovative hardware products shaping the future of computing
- Design dashboards and automate performance tracking for software workloads on simulations of multiple generations of future RISC-V CPUs and heterogeneous chiplet-based systems
- Maintain or migrate custom data analysis workflows to scalable platforms like relational databases and Apache Superset
- Efficiently manage, store, and enable the team to utilize large datasets
- Take ownership of shared tools and workflows by engaging continuously with architecture and design projects as they move through the product development lifecycle
- Collaborate with engineers and architects who are seeking to evaluate performance tradeoffs in our product design by obtaining data-driven insight
- Streamline resource allocation and scheduling for CI/regression tests running on a Slurm cluster, ensuring optimal utilization of compute, storage, and network resources
- Identify resource needs and participate in purchasing decisions or introducing new software tools to our analysis workflows
- Implement improvements to our methodologies to define and launch simulation experiments and tests
- Develop solutions to detect, categorize, and report workflow and job failures in Slurm, CI systems, and data pipelines
Application process
- During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting
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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