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Rust Programming Language Jobs in San Ramon, CA (NOW HIRING)

Astro Mechanica

Flight Software Engineer

San Francisco, CA · On-site

$90K - $160K/yr

Experience in C++, Rust, or other systems programming language * Proven skills in debugging, performance optimization, and unit testing * Ambition to work in a fast-paced environment PERKS & BENEFITS:

OpenAI

Firmware Engineer, Robotics

San Francisco, CA · On-site

$380K - $445K/yr

Our embedded stack uses a lot of Rust. Extensive experience in the language is a big help! This ... Define engineering standards for reliability, fault tolerance, observability, and maintainability ...

Hark

Infrastructure, Large-scale Training

San Jose, CA · On-site

$180K - $450K/yr

Strong proficiency in at least one systems or infrastructure programming language. * Deep ... Rust and/or Go for systems-level tooling and performance-critical services. * Familiarity with ...

Hark

Infrastructure, Large-scale Training

San Jose, CA

$180K - $450K/yr

Strong proficiency in at least one systems or infrastructure programming language. * Deep ... Rust and/or Go for systems-level tooling and performance-critical services. * Familiarity with ...

Geico

Staff Engineer - PKI

Palo Alto, CA

$115K - $230K/yr

Professional experience in software development at least one modern programming language, including Go, Python, Java, or Rust * Hands-on experience with public and/or private cloud environments ...

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All JobsRust Programming Language JobsRust Programming Language Jobs in San Ramon, CA

Rust Programming Language information

See San Ramon, CA salary details

$18

$34

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How much do rust programming language jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for rust programming language in San Ramon, CA is $34.59, according to ZipRecruiter salary data. Most workers in this role earn between $28.46 and $38.94 per hour, depending on experience, location, and employer.

What types of projects or products do Rust developers commonly work on?

Rust developers are often involved in building high-performance, safe, and reliable software such as systems libraries, web servers, cloud computing infrastructure, embedded systems, and developer tools. Many teams leverage Rust for projects where safety and speed are top priorities, including blockchain applications, operating system components, and networking tools. While some work is independent, collaboration with front-end teams, DevOps, and QA engineers is common to ensure seamless integration and robust performance. Joining a Rust development team provides an opportunity to tackle challenging problems, influence key architectural decisions, and contribute to open-source ecosystems.

What is a Rust Programming Language job?

A Rust Programming Language job involves developing software using Rust, a systems programming language known for its speed, memory safety, and concurrency. These roles often focus on performance-critical applications like operating systems, web services, game engines, and blockchain technologies. Rust developers work on writing efficient, safe, and maintainable code while leveraging Rust’s unique features, such as ownership and borrow checking. Many Rust jobs are in backend development, embedded systems, and high-performance computing.

What are the key skills and qualifications needed to thrive in the Rust Programming Language position, and why are they important?

To thrive in a Rust Programming Language developer role, you need strong proficiency in systems programming, memory management, concurrency, and the Rust language itself, usually demonstrated through a degree in computer science or relevant experience. Familiarity with tools like Cargo, Git, and Rust’s package ecosystem, as well as experience with continuous integration systems, is highly valued. Analytical thinking, problem-solving skills, and the ability to communicate complex technical concepts clearly are key soft skills for this position. These competencies are essential for building reliable, efficient software and collaborating effectively with other engineers on complex projects.

What cities near San Ramon, CA are hiring for Rust Programming Language jobs? Cities near San Ramon, CA with the most Rust Programming Language job openings:
Rust Programming Language jobs near you
Infographic showing various Rust Programming Language job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $71,956 per year, or $34.6 per hour.
Staff+ Software Engineer, Caching

Staff+ Software Engineer, Caching

Anthropic

San Francisco, CA

Other

Posted 22 days ago

Job description

About the role

We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way.

This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about.

Key responsibilities
  • Drive the technical direction for caching infrastructure used across Product and Research
  • Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem
  • Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers
  • Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases
  • Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments
  • Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths
  • Build observability and tooling that makes cache behavior easy to understand and debug
  • Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work
  • Make build-vs-buy decisions for caching technologies
Minimum qualifications
  • Significant experience as a software engineer building and operating production distributed systems
  • Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes
  • Experience operating Redis, Memcached, or similar in-memory data stores in production
  • Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale
  • Track record of leading large, complex infrastructure projects as an engineer or tech lead
  • Ability to balance moving quickly with the reliability needs of production systems
  • Strong technical leadership and cross-functional collaboration skills
Preferred qualifications
  • 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams
  • Experience building managed infrastructure platforms or internal services consumed by many engineering teams
  • Experience with change data capture (Debezium or similar) or streaming data infrastructure
  • Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale
  • Experience designing client libraries or SDKs for internal infrastructure
  • Experience scaling infrastructure through periods of rapid growth at high-growth companies
  • Experience with multi-cloud or hybrid cloud deployments
  • Contributions to caching systems, database internals, or related open source projects

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain.

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