Robotics AI Inference Engineer for Real-World Deployment

Skild AI; San Mateo (CA); On-site; USD 100,000 - 300,000; Full time

Job summary

Skild AI is seeking a Software Engineer to advance runtime AI inference for robotic deployments, optimizing performance from lightweight to billion-parameter models. You will work at the intersection of systems and machine learning to ensure robust operation in real-world environments.

With 3+ years of experience, you will build tooling and optimize architectures to handle diverse compute and hardware constraints while collaborating across teams to deploy cutting-edge models.

Qualifications

• BS, MS or higher in CS, Robotics or related field, or equivalent experience.
• Minimum of 3 years industry experience.
• Proficiency in low-level systems languages and ML libraries.

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.
• Formulate optimization solutions for various inference paradigms and scenarios.
• Adapt optimization to compute, hardware, and networking constraints.

Skills

C/C++

Rust

Go

Python

PyTorch

TensorFlow

JAX

Education

BS/MS in Computer Science or Robotics or related field

Tools

CUDA

Job description

Skild AI is seeking a Software Engineer to advance runtime AI inference for robotic deployments, optimizing performance from lightweight to billion-parameter models. You will work at the intersection of systems and machine learning to ensure robust operation in real-world environments.

With 3+ years of experience, you will build tooling and optimize architectures to handle diverse compute and hardware constraints while collaborating across teams to deploy cutting-edge models.