Tenstorrent-posted 4 months ago
$100,000 - $500,000/Yr
Senior
501-1,000 employees

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We're looking for a Senior Machine Learning Engineer to join the ML Applications Team in the Tenstorrent Cloud. Primary focus will be on developing realistic demonstrations of AI applications, and APIs for them, for the Tenstorrent Cloud. Experience spanning into platform infrastructure and Kubernetes is also highly valuable. This role is hybrid OR remote, based out of Santa Clara, CA, Austin, TX, Toronto, ON. 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.

  • Hands-on design, development, and support of realistic demonstrations of AI applications running on Tenstorrent hardware in our cloud.
  • Anticipating, clarifying, and de-risking technological requirements for demonstrations.
  • Encouraging development and design choices in sustainable directions that will allow our capabilities to compound.
  • Enabling customer access to trying our latest hardware and software.
  • Fluent in Python; experience with Pytorch and HuggingFace models.
  • Have used and developed APIs for AI/ML applications.
  • Experienced with AI serving frameworks such as vllm, llm-d, LlamaIndex, torchserve, etc.
  • Experienced in performance benchmarking, profiling, and real-time system optimization.
  • Experienced with Containers, Docker, Git, CI/CD, Agile.
  • Highly competitive compensation package
  • Equal opportunity employer
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