Robotics AI Inference Engineer

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

Job summary

Skildai Careers is seeking a Software Engineer to optimize AI inference processes for robotic deployment. You will enhance the performance of robots by developing runtime AI pipelines and building infrastructure for seamless model integration. The ideal candidate should have a relevant degree and 3+ years of industry experience, with proficiency in languages like C, C++, Python, and knowledge of deep learning libraries.

Salary range is between $100,000 to $300,000 USD, with benefits and growth opportunities in a cutting-edge AI environment.

Qualifications

• Minimum of 3 years of industry experience.
• Deep understanding and practical experience with low-level systems concepts.
• Experience optimizing various machine learning architectures.

Responsibilities

• Develop and optimize runtime AI inference pipelines for real-world robotic deployment.
• Build infrastructure and tooling for reliable model integration into robotic systems.
• Formulate specialized optimization solutions for various inference paradigms.
• Adapt optimization solutions to various compute, hardware, and networking constraints.

Skills

C

C++

Rust

Go

Python

PyTorch

TensorFlow

JAX

Multithreading

Networking

Embedded Systems

Memory Management

CUDA

Education

BS, MS or higher degree in Computer Science, Robotics, Engineering or related field

Tools

Machine Learning Libraries

Job description

Skildai Careers is seeking a Software Engineer to optimize AI inference processes for robotic deployment. You will enhance the performance of robots by developing runtime AI pipelines and building infrastructure for seamless model integration. The ideal candidate should have a relevant degree and 3+ years of industry experience, with proficiency in languages like C, C++, Python, and knowledge of deep learning libraries.

Salary range is between $100,000 to $300,000 USD, with benefits and growth opportunities in a cutting-edge AI environment.