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Tensordyne is an AI system solution company building high-performance, low-power generative AI inference systems. The company creates custom silicon, hardware, and software to enable multimodal generative AI inference acceleration at scale for hyperscaler and neocloud data center customers. Tensordyne is well-funded with headquarters in Sunnyvale, CA and Munich, Germany, plus remote team members across North America and Europe.
In this role, you will join the inference backend software team, focusing on a part of the software stack for a future Tensordyne product. You will design and develop distributed cloud services in Rust, maintain in-house Rust software and work with external frameworks, and build APIs for generative AI. You will collaborate across different teams to derive design specifications and decisions, and orchestrate agent teams to implement features.
This is a hands-on engineering position working on critical infrastructure for AI inference systems. You'll be part of a fast-paced startup environment focused on advancing the latest research and product improvements in generative AI inference solutions.
REQUIREMENTS:
- Experience with modern Rust
- Experience with agentic tools and workflows
- Knowledge of common Rust design patterns, including patterns for asynchronous code
- General awareness of network technologies and high-level protocols like HTTP
- General awareness of Kubernetes and other related technologies is a plus
