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Remote Rust Developer Jobs in California (NOW HIRING)

As a Software Engineering evaluator, you will create cutting-edge datasets for training ... C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency ...

... Python/C++/Rust for GPU workloads * Real-world experience designing and building cloud-native ... Strong grasp of modern DevOps: code reviews, CI/CD pipelines, observability, and containerization ...

Runtime Engineer

Mountain View, CA ยท On-site +1

$175K - $362K/yr

Strong experience in a systems programming language - Rust, C, C++, or Go - including memory ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

This position is 100% remote Responsibilities: * Design, prototype, implement, evaluate, optimize ... Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and ...

Runtime Engineer

Mountain View, CA ยท On-site +1

$175K - $362K/yr

Strong experience in a systems programming language -- Rust, C, C++, or Go -- including memory ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Bluespec Design Engineer

Mountain View, CA ยท On-site +1

$175K - $450K/yr

Production Rust experience. If you know Haskell, Rust is easy, but if you've already used it on ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Principal Software Engineer

San Diego, CA ยท On-site +1

$160K - $200K/yr

ORA_REMOTE Description SAIC is seeking a full-stack Principal Software Engineer to join the Joint ... Experience with native development with C, C++, or Rust. * Public contributions to open-source ...

Senior Software Engineer, Frontend

Los Angeles, CA ยท On-site +1

$145K - $195K/yr

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... Proficiency with Rust * Experience with CodeMirror6 * Experience with ASTs even if custom ESLint ...

Senior Search Engineer

San Francisco, CA ยท On-site +1

$123K - $169K/yr

This is a remote position open to candidates based in the United States. We also have co-working ... Strong programming skills in Rust/ C++ (for high performance) and Python * Solid understanding of ...

Data Architect

Menlo Park, CA ยท Remote

$75.25 - $96.75/hr

Menlo Park, CA (Remote) Experience: 12+ Years Role Overview: We are seeking a visionary to ... Rust, Clojure, or Java. Note Education M.S./Ph.D in Computer Science (Formal Methods/Logic) or ...

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Remote Rust Developer information

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$52

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How much do remote rust developer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for remote rust developer in California is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $63.80 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote Rust Developers and how can they be overcome?

Remote Rust Developers often encounter challenges such as debugging complex concurrency issues, staying up-to-date with the evolving Rust ecosystem, and maintaining effective communication with team members across different time zones. Overcoming these requires strong problem-solving abilities, a proactive approach to continuous learning, and consistent participation in team meetings and code reviews. Utilizing collaboration tools like Slack or Zoom and thorough documentation practices can also help address remote communication hurdles. These strategies enable developers to deliver robust software while staying connected and aligned with their teams.

What is a Remote Rust Developer job?

A Remote Rust Developer job involves designing, building, and maintaining software applications using the Rust programming language while working remotely. Responsibilities typically include writing safe and efficient code, debugging applications, collaborating with distributed teams, and optimizing performance. Remote Rust developers often work on system-level programming, web assembly, blockchain, or backend services. Strong knowledge of Rust, asynchronous programming, and memory safety principles is essential. This role offers flexibility in work location, making it ideal for developers who prefer remote work environments.

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

To thrive as a Remote Rust Developer, you need strong proficiency in Rust programming, systems programming concepts, and experience with software development best practices, typically supported by a relevant degree or practical experience. Familiarity with tools like Git, Docker, CI/CD pipelines, and cloud platforms is commonly required, along with knowledge of asynchronous programming and relevant libraries. Excellent communication, self-motivation, and the ability to collaborate effectively in distributed teams are key soft skills for remote work. These skills ensure robust, high-quality code delivery and smooth team collaboration in a virtual environment.

What are the most commonly searched types of Rust Developer jobs in California? The most popular types of Rust Developer jobs in California are:
What job categories do people searching Remote Rust Developer jobs in California look for? The top searched job categories for Remote Rust Developer jobs in California are:
What cities in California are hiring for Remote Rust Developer jobs? Cities in California with the most Remote Rust Developer job openings:
Remote Senior Python Engineer

Remote Senior Python Engineer

Turing

San Francisco, CA โ€ข Remote

$200 - $300/hr

Contractor

Medical, PTO

Posted 7 days ago


Job description

About Us:
Based in San Francisco, California, Turing is the worldโ€™s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Ideal Background:
This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions โ€” though exceptional experience and skill always take precedence over pedigree.

Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections โ€” with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?
  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code โ€” primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:
  • Several years of software engineering experience (3 years or more).
  • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
  • Experience building full-stack applications and deploying scalable software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:
  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
  • Type: Contractor (no medical/paid leave).
  • Duration: 1 month (potential extensions based on performance and fit).

Location: Candidates must be based in the United States
  • The application process takes 15โ€“30 minutes.
  • Completion of an AI video interview is required.

Note: As part of assessments you will go through an AI video interview.

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:

Based in San Francisco, California, Turing is the worldโ€™s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.