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Rust Library Jobs in Fremont, CA (NOW HIRING)

Skild AI

Software Engineer, AI Inference

San Mateo, CA · On-site

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. * Deep understanding and practical ...

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site

$210K - $260K/yr

Create and maintain a library of parametric components for generative design exploration and ... Proficiency in interacting with CAD or geometry tooling via APIs (Python, Rust, or other relevant ...

IonQ

Staff Firmware Engineer

Pleasanton, CA · On-site

... libraries, and reusable frameworks for quantum system control. * Software Development: Write high-performance, production-quality code in C/C++ and Rust, establishing team-wide best practices and ...

Atomic Machines

Generative AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

Create and maintain a library of parametric components for generative design exploration and ... Proficiency in interacting with CAD or geometry tooling via APIs (Python, Rust, or other relevant ...

Ambi Robotics

Senior Robotics Research Engineer

Berkeley, CA · On-site

$128K - $175K/yr

Contribute to AmbiOS core libraries in areas such as: (a) scalable AI training, algorithms, models ... Rust In addition to competitive compensation, we offer benefits such as: * Health, dental, and ...

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How much do rust library jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for rust library in Fremont, CA is $16.69, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $17.64 per hour, depending on experience, location, and employer.

What is the difference between Rust Library vs Rust Developer?

AspectRust LibraryRust Developer
Required CredentialsKnowledge of Rust programming, library development experienceProficiency in Rust, software development skills, possibly a degree in computer science
Work EnvironmentTypically works on creating, maintaining, or documenting Rust librariesDevelops software applications using Rust, may work on libraries as part of projects
Employer & Industry UsageOpen-source projects, tech companies, software firmsTech companies, startups, software development firms
Search & Comparison IntentLooking for roles related to creating or maintaining Rust librariesSeeking software development roles involving Rust programming

In summary, a Rust Library focuses on developing and maintaining reusable code components in Rust, often within open-source or collaborative projects. A Rust Developer, however, is a broader role involving designing, coding, and deploying software applications using Rust, which may include working with or creating libraries as part of their responsibilities.

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Software Engineer, AI Inference

Skild AI

San Mateo, CA • On-site

Full-time

Re-posted 24 days ago

Job description

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.
  • Deep understanding and practical experience with low-level systems concepts (multithreading, networking, embedded systems, memory management).
  • Experience with CUDA.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Experience optimizing various machine learning architectures.
  • Experience with machine learning compilers.
  • Experience optimizing model inference for robotic systems deployment.

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