Software Engineer, AI Inference

What this role involves

The role involves developing and optimizing AI inference pipelines for robotic deployment. The engineer will build infrastructure and frameworks to integrate models into robotic systems and optimize inference for various paradigms and hardware constraints. Required skills include low-level systems programming, deep learning frameworks, CUDA, and experience with machine learning compilers.

Skills this posting asks for

• c
• c++
• rust
• go
• python
• pytorch
• tensorflow
• jax
• cuda
• machine learning compilers
• multithreading
• networking
• embedded systems
• memory management
• inference optimization
• robotic systems
• autoregressive models
• denoising models
• state machines
• cloud-based inference

Requirements

• 3 years of experience
• Level: mid

From the employer’s posting

Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unl…