Software Engineer, AI Inference

Skild AI

Pittsburgh (Allegheny County)

On-site

USD 100,000 - 300,000

Full time

14 days+

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Job summary

An innovative firm is seeking a passionate Software Engineer to join their team at the forefront of AI technology. This role involves optimizing AI models for real-world applications, ensuring efficiency and adaptability in robotic systems. You'll work with cutting-edge technologies and collaborate with a diverse team to tackle complex challenges. This is an exciting opportunity to contribute to groundbreaking projects that redefine the future of robotics and AI, making a significant impact in the industry. If you're eager to explore new frontiers in technology, this position is perfect for you.

Qualifications

3+ years of industry experience in software engineering.
Proficiency in low-level systems programming and deep learning frameworks.

Responsibilities

Develop and optimize AI inference pipelines for robotic deployment.
Build frameworks for reliable integration of AI models into systems.

Skills

C++

Rust

Python

PyTorch

TensorFlow

JAX

Machine Learning Optimization

Multithreading

Education

Bachelor's in Computer Science

Master's in Robotics

Tools

CUDA

Deep Learning Libraries

Job description

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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 unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Company Overview

Position Overview

We are looking for a Software Engineer to work at the forefront of deploying our cutting-edge AI models, enhancing the performance and capabilities of our embodied systems. You will be responsible for optimizing AI inference processes from lightweight to billion-parameter models, ensuring our robots operate with unmatched efficiency and intelligence in real-world environments. You will work at the intersection of systems and machine learning, directly contributing to making our AI models more powerful and adaptive by ensuring consistent performance in light of variable and perhaps unforeseen compute and hardware constraints.

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.

Preferred Qualifications

BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.

Minimum of 3 years of industry experience.

Proficiency developing in low-level systems languages (C, C++, Rust, Go), Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.