AI hardware integration and production readiness define this hybrid Forward Deployed Engineer role at Tenstorrent. Work from Santa Clara, Austin, or Toronto. Tenstorrent seeks contributors at various experience levels to own technical outcomes for customer AI hardware systems. You will integrate hardware and software, validate deployments, automate repetitive work, debug inference stacks, and support ongoing operations. The work connects customer engineering teams with core engineering. Key Responsibilities:
Drive customer AI hardware systems toward production readiness Integrate, deploy, validate, and operate complete systems Debug requests, kernel dispatch, drivers, networking, and hardware Establish operating procedures and resolve customer system issues Communicate technical trade-offs with customers and engineering teams Requirements:
Hands-on server hardware experience in datacenter environments Complex hardware and software troubleshooting experience Linux systems administration and operating-system debugging knowledge Background as a Site Reliability, Systems, Platform, or Infrastructure Engineer Python software engineering skills; C++ experience is a plus Apply your deployment, validation, Linux, and debugging expertise to Tenstorrent customer AI systems across hybrid locations.
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AI Hardware Deployment Engineer in Toronto employer: Tenstorrent
At Tenstorrent, we pride ourselves on being an exceptional employer that fosters a culture of collaboration, curiosity, and innovation. Located in the vibrant city of Vancouver, Canada, our hybrid work environment allows for flexibility while working on groundbreaking AI technology. We offer competitive compensation, comprehensive benefits, and ample opportunities for professional growth, making it an ideal place for engineers eager to contribute to the future of AI/ML computing.
