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Rust Engineer Jobs in California (NOW HIRING)

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Rust Engineer information

See California salary details

$35K

$94.8K

$165.8K

How much do rust engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for rust engineer in California is $94,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $106,600.00 per year, depending on experience, location, and employer.

What are Rust Engineers?

Rust Engineers are software developers who specialize in using the Rust programming language to build reliable, efficient, and safe systems. They often work on performance-critical applications such as backend services, embedded software, systems programming, and blockchain technologies. Rust Engineers are valued for their ability to write code that minimizes bugs and security vulnerabilities, leveraging Rust's strict compiler and memory safety features. Their expertise is increasingly sought after in industries where safety, speed, and concurrency are essential.

What are the key skills and qualifications needed to thrive as a Rust Engineer, and why are they important?

To thrive as a Rust Engineer, you need a strong understanding of systems programming concepts, the Rust language, and experience with software development best practices, often supported by a degree in computer science or a related field. Familiarity with version control systems like Git, build tools such as Cargo, and knowledge of CI/CD pipelines are typically required. Problem-solving skills, attention to detail, and effective communication set outstanding Rust Engineers apart. These skills and qualifications are essential for building reliable, high-performance, and secure software systems in collaborative development environments.

What are some common challenges Rust Engineers face when integrating Rust with existing systems?

Rust Engineers often encounter challenges when integrating Rust into codebases written in other languages, such as C, C++, or Python. These challenges can include managing foreign function interfaces (FFI), ensuring memory safety across language boundaries, and handling differences in build systems and tooling. Collaboration with teams familiar with legacy systems is often essential to navigate these complexities, and clear documentation is key to successful integration. Over time, these challenges can deepen your understanding of system interoperability and lead to broader career opportunities in systems programming.

What is the difference between Rust Engineer vs Software Developer?

AspectRust EngineerSoftware Developer
Required CredentialsBachelor's in Computer Science or related, familiarity with RustBachelor's in Computer Science or related, general programming skills
Work EnvironmentTech companies, startups, embedded systems, systems programmingVarious industries including tech, finance, healthcare, web development
Employer & Industry UsageCompanies developing performance-critical or system-level applicationsBroad range of companies developing software across sectors
Search & Comparison IntentFocus on Rust-specific roles, systems programmingGeneral software development roles across languages

Rust Engineers specialize in developing high-performance, safe systems using Rust, often in embedded or systems programming contexts. Software Developers have a broader scope, working across multiple languages and industries. While both roles require strong programming skills, Rust Engineers focus on Rust expertise, whereas Software Developers may work with various languages and technologies.

What job categories do people searching Rust Engineer jobs in California look for? The top searched job categories for Rust Engineer jobs in California are:
Infographic showing various Rust Engineer job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $94,849 per year, or $45.6 per hour.
Senior Software Engineer - Agentic AI Analytics (Rust / Data Systems)

Senior Software Engineer - Agentic AI Analytics (Rust / Data Systems)

Noor Staffing Group

Los Angeles, CA โ€ข Hybrid

$132K - $174K/yr

Other

Posted 29 days ago


Job description

Title: Senior Software Engineer โ€“ Agentic AI Analytics (Rust / Data Systems)
Location: Glendale, CA โ€“ structured hybrid (in-office component required)
Compensation: 200,000 โ€“ 240,000 base + equity/benefits (DOE)

***NO C2C OR VISA CANDIDATES CAN BE ACCCEPTED***

Our client is building the next generation of AI-powered analytics so brands can finally see, in real time, which advertising actually works and why. This Senior Software Engineer role sits directly with the CTO on a highly visible initiative to build an agentic, AI-driven analytics engine from the ground up using Rust, Java, and modern OLAP concepts.

If you like owning hard performance problems, designing columnar/vectorized systems, and shipping code that powers decisions for the worldโ€™s biggest brands, this is a true impact seat, not a maintenance job.

Why this role

  • Direct access to the CTO and a small, senior team driving our core AI analytics strategy, not a side project.
  • Greenfield build of an Advanced Analytics Engine with vectorized query processing, columnar storage, and OLAP capabilities aimed at sub-second performance on marketing datasets.
  • Heavy Rust and Java engineering with deep performance tuning, profiling, and hardware-aware optimization on large-scale cloud-native data systems.
  • High-growth, ad measurement / analytics space with massive data volume, where your work shapes how brands, agencies, and media companies measure outcomes.
  • Structured hybrid in Glendale, CA with strong comp, equity, and full benefits, plus a culture that emphasizes performance, learning, and fun.

Ideal candidate snapshot

  • 12+ years total software engineering, including 5+ years architecting or building high-performance data/analytics or OLAP systems; 3+ years hands-on, production Rust, ideally having come from Java.
  • Deep knowledge of columnar data engines, vectorized execution, query/dataframe optimization, and performance engineering at the system and hardware levels.
  • Strong AWS experience (designing, deploying, and optimizing scalable data and compute systems in the cloud).
  • Systems thinker who sees software, data, and infrastructure as one cohesive system; comfortable in fast-moving, startup-like environments.
  • Solid statistics / data analysis foundation; bonus for exposure to AI-driven analytics and engines like Apache DataFusion, DuckDB, ClickHouse/chDB, or for refactoring large brownfield systems.