ZipRecruiter

Log In

1

Rust Library Jobs in Fremont, CA (NOW HIRING)

zaimler

MLE, ML Platform

San Mateo, CA · On-site

Read, debug, and contribute to LLM runtime and supporting library code (Rust and/or C++) * Deploy and manage models at scale using tools like vLLM and Baseten * Architect scalable pipelines for model ...

Apple

Software Engineer - Traffic (ASE)

Cupertino, CA · On-site

We are responsible for providing services, proxies, meshes, libraries, and other primitives to ... Minimum Qualifications Skilled with one or more advanced programming language such as C, C++, Rust ...

IonQ

Staff Engineer Firmware

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 ...

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 ...

next page

Showing results 1-20

All JobsRust Library JobsRust Library Jobs in Fremont, CA

Rust Library information

See Fremont, CA salary details

$9

$16

$21

How much do rust library jobs pay per hour?

As of Jun 29, 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.

Can you work at a library without being a librarian?

A Rust library is a collection of code that developers use to build software, not a physical location or organization. Working on a Rust library typically involves programming skills and knowledge of Rust, and does not require being a librarian or working in a library environment. Developers can contribute to or maintain Rust libraries without any librarian credentials or roles.

How difficult is it to get a job as a librarian?

Getting a job as a librarian typically requires a master's degree in library science or information studies and relevant experience. Competition can be moderate, and strong organizational, research, and technology skills improve employment prospects, especially in public or academic libraries.

What is the highest paying library job?

In the context of Rust library development, senior software engineer or lead developer roles tend to have the highest salaries, often exceeding $120,000 annually depending on experience and location. These positions typically require advanced Rust skills, experience with system programming, and knowledge of performance optimization and concurrency.

Do libraries hire with no experience?

For roles related to Rust libraries, such as open-source contributions or development positions, employers often prefer candidates with some programming experience, but entry-level opportunities may be available for those with strong foundational skills and a willingness to learn. Demonstrating knowledge of Rust, version control, and relevant tools can improve chances, even without professional experience.
What are popular job titles related to Rust Library jobs in Fremont, CA? For Rust Library jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Rust Library jobs in Fremont, CA look for? The top searched job categories for Rust Library jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Rust Library jobs? Cities near Fremont, CA with the most Rust Library job openings:
Rust Library jobs near you
Senior Software Engineer - NIM Platform SDK and Framework

Senior Software Engineer - NIM Platform SDK and Framework

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 28 days ago

Job description

NVIDIA is the platform for every new AI-powered application. We seek a senior engineer to own and evolve the core NIM Platform SDK and microservice framework. This framework powers NVIDIA Inferencing Microservices (NIM). The ideal candidate has deep systems engineering skills and a passion for building foundational platform libraries. These libraries support multiple NIM modalities in delivering production-ready AI inference at scale.

This is a hands-on, deeply technical role for someone who thrives on building core platforms that scale. The role involves solving deep software engineering challenges. These include high-performance systems programming, multi-cloud abstractions, and API framework development. The role requires collaboration across NIM product teams and delivering production-grade software supporting NVIDIA and the wider AI ecosystem.

What you'll be doing:

  • Develop and advance the inference microservice framework: OpenAI-compatible API endpoints, inference backend integrations (vLLM, SGLang, TensorRT-LLM, Dynamo), middleware, observability instrumentation, and production hardening across cloud, on-prem, and Kubernetes environments.

  • Architect significant new features in open-source codebases, shepherding them through project acceptance and into production.

  • Build and optimize high-performance model download and caching pipelines across multiple cloud storage backends (NGC, HuggingFace, S3, GCS) - parallel transfers, integrity verification, and seamless multi-cloud operability.

  • Implement the model profile and manifest system that ensures NIMs are optimized for every NVIDIA GPU platform - profile selection, validation, and multi-GPU configuration.

  • Develop and refine cloud microservice patterns - service discovery, health checking, graceful degradation, API gateway integration, and end-to-end request lifecycle management - to ensure NIMs operate reliably at scale in diverse cloud deployment environments.

  • Be a role model for high-quality code across Python, Rust, and C/C++, and model guidelines in test-driven development, agentic AI-assisted development, code review, and cross-team collaboration.

  • Mentor teammates and establish high engineering standards for container quality, security, and operability.

What we need to see:

  • BS or MS in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 8+ years of demonstrated experience developing performant microservice, cloud software and/or platform infrastructure roles.

  • Deep technical expertise in cloud-native microservice architecture, including service mesh, API gateways, load balancing, and distributed system build patterns.

  • Expertise in high-performance data pipelines with parallel I/O, caching strategies, and integrity verification across distributed storage systems.

  • Solid understanding of containerized application delivery using technologies such as Docker, Kubernetes, and Helm.

  • Understanding of application security principles, including secure coding practices, vulnerability mitigation, secrets management, and supply chain integrity for containerized environments.

  • Strong problem-solving skills grounded in first-principles reasoning and critical analysis.

  • Excellent programming skills in Python and Rust, with strong foundations in algorithms, development patterns, and software engineering principles.

Ways to stand out from the crowd:

  • Direct involvement in open-source inference backends such as vLLM, TRTLLM, or SGLang.

  • Direct involvement in disaggregated serving frameworks like NVIDIA Dynamo.

  • Experience building and operating production microservices at scale.

  • Deep knowledge of multi-cloud deployment strategies across AWS, GCP, Azure, and OCI.

  • Experience operating in regulated, air-gapped, or disconnected environments where strict security and compliance controls are required.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply