DevOps Architect, Tenstorrent
CA$100-500k
OTE
Next-generation computing company building computers for AI
Be an early applicant
Next-generation computing company building computers for AI
1001+ employees
Be an early applicant
CA$100-500k
OTE
1001+ employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- 10+ years designing and operating enterprise, HPC, or large-scale data center infrastructure
- Deep expertise in cloud-native and bare-metal infrastructure management
- Strong hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, and Helm
- Experienced building and operating observability stacks including Prometheus, Grafana, ELK or EFK, and OpenTelemetry
- Strong understanding of networking, storage systems, accelerator resource management, and security models including RBAC, IAM, TLS, and secrets management
What the job involves
- This is a foundational architecture role. You will define how clusters are configured, orchestrated, monitored, and secured at scale
- Define the end-to-end architecture for the AI cluster control plane, covering provisioning, configuration, lifecycle management, and monitoring
- Architect scalable systems for system, network, and storage provisioning across multi-thousand accelerator environments
- Establish telemetry, logging, metrics, tracing, and alerting frameworks with operational guardrails
- Define workload placement, resource allocation, scheduling, and preemption policies to maximize accelerator utilization
- Integrate authentication, authorization, account management, key management, backup, checkpointing, and DCIM infrastructure into a secure multi-tenant environment
- What You Will Learn
- How multi-megawatt AI data centers are architected and operated at scale
- The operational challenges of orchestrating thousands of AI accelerators during training and inference
- How distributed infrastructure decisions directly impact AI model throughput, reliability, and cost efficiency
- Advanced strategies for multi-tenant isolation, security hardening, and workload optimization in AI clusters
- How hardware, runtime systems, and control plane architecture co-evolve in next-generation AI infrastructure
Application process
- We welcome candidates at various experience levels for this role. 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
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
52% employee growth in 12 months
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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