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Senior Compiler Engineer, AI IP
Tenstorrent · Belgrade, Central Serbia · Posted 24 days ago
Build AI acceleration IP that powers customer SoCs, working directly with end users to integrate real-world ML models into Tenstorrent's compiler and runtime stack.
Join Tenstorrent’s AI IP software team and help customers bring AI workloads to products built on Tenstorrent technology. In addition to building our own hardware platforms, Tenstorrent offers AI acceleration IP that customers can integrate into their own SoCs. You’ll work directly with those customers to help bring models into Tenstorrent workflows, answer technical questions, and solve integration challenges. This is a broad, hands-on software role spanning models, compiler and runtime workflows, and AI IP.
This role is hybrid, based out of Belgrade, Serbia.
- A strong software engineer who enjoys working across a broad technical stack and learning new tools and workflows quickly.
- You have a working understanding of machine learning fundamentals and common model architectures, especially computer vision models and large language models. You don’t need to be an ML researcher or an expert in every architecture.
- A practical problem-solver who can turn customer questions and ambiguous requirements into clear investigations and workable solutions.
- A collaborative communicator who enjoys working directly with customers and partnering with software, compiler, hardware, and IP engineers.
- Strong C++ skills and experience developing, debugging, or maintaining production-quality software.
- Hands-on experience with ONNX or similar model formats and workflows, such as model conversion, graph inspection or transformation, operator support, or runtime integration.
- Experience bringing models into a software runtime or hardware platform and validating that integrations produce correct results.
- The ability to work across compiler and software layers, investigate model compatibility, and help address customer-specific requirements as needed.
- Experience with compilers, MLIR, graph optimization, runtimes, or code generation is a plus, as is customer-facing engineering or technical support experience.
- How customers integrate Tenstorrent AI IP into their own products and bring real-world models through the software stack.
- How to work with compiler and tt-nn workflows as they evolve, and how to validate model integrations.
- How compiler, runtime, software, IP, and hardware teams collaborate to improve model compatibility and customer outcomes.
- How to solve practical customer challenges while contributing to high-performance AI technology for a wide range of products.
This posting is sourced from Tenstorrent's own career site — applying takes you there directly.
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This role centers on C++, Onnx, Machine Learning, and Model Integration. There are 128 open roles at Tenstorrent right now.
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