Tenstorrent
Infrastructure and Platform Engineer, Metal
About this role
Tenstorrent seeks an Infrastructure and Platform Engineer to design and operate Kubernetes-based platforms on on-prem data centers, enabling efficient workload orchestration and hardware allocation for AI systems. You'll build platform services, APIs, and cluster lifecycle management while partnering with SRE and infrastructure teams to support large-scale internal and customer environments.
What you'll do
- Design and build platform services for workload orchestration and ML workflows
- Develop APIs enabling interaction between users, services, and infrastructure platforms
- Own Kubernetes cluster lifecycle, scaling, and operational maturity
- Integrate platforms with CI/CD pipelines and GitOps workflows
- Partner with SRE and infrastructure teams to support large-scale environments
- Debug and optimize production Kubernetes systems
What they're looking for
- Kubernetes cluster provisioning, operators, and production debugging
- Python or Go for API and platform service development
- Linux systems administration and networking fundamentals
- Distributed systems design and troubleshooting
- CI/CD and GitOps workflow integration
- Backend or infrastructure platform development
- Workload orchestration and resource management
- Cross-team collaboration and communication
Benefits
- Competitive compensation package
- Learn how large-scale AI platforms are built on custom accelerator hardware
- Advanced exposure to Kubernetes patterns and cluster lifecycle management
- Opportunity to see internal platforms evolve into production customer systems
- Experience with on-prem and hybrid platform engineering at scale
- Hybrid work arrangement with locations in Santa Clara, Austin, or Toronto
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Tenstorrent
Tenstorrent develops advanced AI technologies and high-performance CPU chip designs, building the hardware and compiler infrastructure to support next-generation AI computing. The company is hiring hardware engineers (DFT, physical design, timing analysis, emulation) and software engineers (compiler development) to optimize chip manufacturing, performance, and AI software solutions.
- Website
- tenstorrent.com
Likely interview questions
- Describe your experience designing and operating Kubernetes clusters in production environments. What challenges have you encountered and how did you resolve them?
- Walk us through how you've built or integrated APIs that enable teams to interact with infrastructure platforms.