Skild AI is building the world's first general purpose robotic intelligence that adapts to unseen scenarios. The Software Engineer will be responsible for optimizing AI inference processes and enhancing the capabilities of embodied systems, ensuring efficient operation in real-world environments.
Responsibilities:
- Develop and optimize runtime AI inference pipelines for real-world robotic deployment
- Build infrastructure, frameworks, and tooling to enable reliable integration of models into robotic systems and informative analysis of production models to drive the direction of architecture choice and deployment system design
- Formulate specialized optimization solutions for various inference paradigms and scenarios (autoregressive models, denoising models, hierarchical models, state machines, multi-agent systems, cloud-based inference)
- Adapt optimization solutions to various compute, hardware, and networking constraints