Senior Software Engineer — ML Inference & Numerics
Tensordyne, Munich, Germany +1
The role
Help make the latest AI models run well on our silicon. You’ll work from model code to measured hardware performance: bring up new architectures, track down accuracy failures, and improve latency, throughput, and memory use.
The bigger challenge is making that work repeatable. You’ll build an agentic harness that can explore implementations, run experiments, check results, and guide the next change. Every investigation should leave behind better software, better tests, and a shorter path for the next model.
We’re looking for an excellent software engineer who understands LLM inference deeply and knows how to put coding agents to work. You’ll own substantial parts of our SDK and work closely with engineers across models, compilers, runtime, and hardware. Your particular focus will be numerical optimization: finding where precision matters, where computation can be cheaper, and how to preserve model quality.