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From Home Rust Programming Jobs (NOW HIRING)

Develop Rust-to-GPU Compiler Pipelines: Design, implement, and maintain custom compiler backends ... programming languages and systems technology, we want to hear from you. Your base salary will be ...

Senior Compiler Engineer - Rust GPU

Austin, TX · On-site

$121K - $160K/yr

Develop Rust-to-GPU Compiler Pipelines: Design, implement, and maintain custom compiler backends ... programming languages and systems technology, we want to hear from you. Your base salary will be ...

Senior Compiler Engineer - Rust GPU

OR · On-site +1

$122K - $161K/yr

Develop Rust-to-GPU Compiler Pipelines: Design, implement, and maintain custom compiler backends ... programming languages and systems technology, we want to hear from you. Your base salary will be ...

Develop Rust-to-GPU Compiler Pipelines: Design, implement, and maintain custom compiler backends ... programming languages and systems technology, we want to hear from you. Your base salary will be ...

Rust Engineer - Remote

$125K - $165K/yr

Design, build, and ship production Rust services end-to-end - from Postgres schema and migrations ... At home in a command-line, cloud-native workflow (Docker, CI/CD, some cloud infrastructure exposure ...

Rust Engineer

Austin, TX · On-site

$320K - $465K/yr

Excellent programming and debugging fundamentals * Experience with services that run continuously ... Experience doing high-throughput streaming ingest from gRPC, Geyser, Kafka/Redpanda * Experience ...

Our Reston team is seeking a mid-level Rust Developer to build and optimize production software ... The selected individual(s) will be required to work from the Reston, VA office 5 days a week Perks ...

Senior Rust Engineer

Park City, UT · On-site

$109K - $150K/yr

We're looking for a product-minded, inquisitive and inventive Senior Rust Engineer to drive the ... Own the Rust codebase from architecture to implementation * Maintain and scale our infrastructure ...

Our Reston team is seeking a mid-level Rust Developer to build and optimize production software ... The selected individual(s) will be required to work from the Reston, VA office 5 days a week Perks ...

Lead Rust Engineer

New York, NY · Remote

$112K - $147K/yr

T ake ownership of projects from conception through deployment * H elp establish scalable ... B ackground in security, developer tooling, or open source projects * C ontributions to the Rust ...

Sr. Rust Engineer

Denver, CO · On-site

$126K - $166K/yr

Design, build, and ship production Rust services end-to-end from Postgres schema and migrations up ... At home in a command-line, cloud-native workflow (Docker, CI/CD, some cloud infrastructure exposure ...

Lead Rust Engineer

New York, NY · On-site

$112K - $147K/yr

... from conception through deployment - Help establish scalable engineering practices - Collaborate closely with product management Requirements: - Strong experience with Rust; experience with Go and ...

Sr. Software Engineer II, Backend (Rust)

OR · On-site +1

$140K - $190K/yr

... from funding * Design and implement scalable, reliable service architecture, using cloud-based ... engineers as they grow their Rust proficiency What you'll need: * 6+ years of professional software ...

$185K - $227K/yr

... from restaurant POS terminals to military radios. The Rust core is the engine, consumed via FFI ... As a Senior Rust Engineer, you will own: * SDK Observability Pipeline - Design, build, and maintain ...

Fermah - Solidity & Rust Engineer

New York, NY · On-site +1

$63 - $84.50/hr

She has been designing and building ZK for over 15 years and has a PhD in cryptography from UCLA ... We are seeking a dedicated Solidity & Rust Engineer to work on cutting-edge mechanism design for ZK ...

Showing results 21-40

From Home Rust Programming information

See salary details

$44.5K

$70.9K

$99K

How much do from home rust programming jobs pay per year?

As of Sep 13, 2026, the average yearly pay for from home rust programming in the United States is $70,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What is the difference between From Home Rust Programming vs From Home Software Developer?

AspectFrom Home Rust ProgrammingFrom Home Software Developer
Required CredentialsProficiency in Rust, coding skills, possibly certifications in programmingProficiency in multiple programming languages, coding skills, relevant certifications
Work EnvironmentRemote, independent work, often project-basedRemote or hybrid, collaborative teams, project-focused
Industry UsageTech companies, startups, open-source projectsTech, finance, healthcare, various industries
Search & Comparison IntentLooking for remote Rust programming jobsLooking for remote software development roles

While both roles involve remote work and programming skills, From Home Rust Programming focuses specifically on Rust language expertise, often in specialized or open-source projects. From Home Software Developer is broader, encompassing multiple languages and industries. The choice depends on your skill set and career focus.

Are from home Rust programmers in demand?

Remote Rust programmers are increasingly in demand due to the language's performance and safety features, especially in systems programming, embedded development, and WebAssembly. Companies seek developers skilled in Rust for building efficient, secure applications, and remote work opportunities are common in this field.
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Infographic showing various From Home Rust Programming job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 76% Full Time, 19% Part Time, and 3% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $70,857 per year, or $34.1 per hour.

Senior Compiler Engineer - Rust GPU

Austin, TX

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$121K - $160K/yr

Full-time

Re-posted 23 days ago


Key responsibilities

  • Design, implement, and maintain custom compiler backends and Rust-native IR frameworks to compile Rust directly to CUDA PTX and machine code.

  • Work with compiler architectures to lower Rust AST and MIR into IRs including MLIR, PTX, and LLVM, with GPU-specific optimizations.

  • Architect innovative compiler-enforced safety models that extend Rust's ownership, borrowing, and lifetime disciplines across GPU launch boundaries.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

NVIDIA is dedicated to reinvent accelerated computing. Reinvention requires great technology and amazing people. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. NVIDIA is hiring a Senior Compiler Engineer to join our team driving the next generation of GPU systems programming. We are redefining how developers write high-performance GPU software by bringing the safety, expressiveness, and modern tooling of Rust to native GPU and CUDA development.

On this team, you will build cutting-edge compiler pipelines, custom intermediate representation (IR) frameworks, and JIT compilation systems that bridge host and device execution-allowing developers to write memory-safe, high-performance GPU kernels in idiomatic Rust. What you'll be doing: Develop Rust-to-GPU Compiler Pipelines: Design, implement, and maintain custom compiler backends (such as rustc codegen backends and proc-macros) and Rust-native intermediate representation (IR) frameworks to compile standard Rust directly to high-performance CUDA PTX and machine code. Build compiler IRs and Optimizers: Work with modern compiler architectures to lower Rust AST and MIR into IRs including MLIR, PTX, and LLVM, including GPU-specific optimizations.

Support complex ahead-of-time, just-in-time, and link time optimization workflows: Build state-of-the-art tooling to support users targeting a broad family of NVIDIA GPUs, host platforms, and feature sets. Define Safe Parallel Abstractions: Architect innovative compiler-enforced safety models that extend Rust's ownership, borrowing, and lifetime disciplines across the GPU launch boundary-preventing data races and enforcing memory safety during asynchronous GPU execution. Expose Next-Gen Hardware Features: Implement type-safe, ergonomic device-side abstractions in Rust for low-level GPU hardware primitives, including shared memory, barriers, scoped atomics, Tensor Memory Accelerator (TMA), and warp/cluster-level operations.

Build the future: Supporting today's accelerated computing applications is not sufficient. We have to build composable building blocks for others around us to build the applications of tomorrow. What we need to see: Bachelor's, Master's, or Ph.D

in Computer Science, Computer Engineering, a related field, or equivalent experience. 5+ years of relevant work or research experience in compiler development, language design, or GPU code generation. Deep expertise in the Rust programming language, including a strong grasp of compiler internals (rustc), Rust MIR, procedural macros, and Rust's borrow-checker/lifetime model.

Hands-on experience with compiler infrastructures, intermediate representations (IRs), and code generation (such as LLVM IR, MLIR, or custom IR systems). Solid understanding of parallel programming models, GPU architectures, and CUDA programming. Strong software design skills, including debugging, profiling, and benchmarking compilers and GPU kernels.

Ability to orchestrate agents for product requirement design, architecture, code development, testing, code review, and issue triage. Ability to work independently, define project goals and scope, and drive complex compiler-engineering efforts from research to production. Ways to stand out from the crowd: A track record of contributing to the Rust compiler (rustc), Cargo tooling, or open-source Rust-to-GPU projects.

Experience building custom compiler front-ends, AST translators, or JIT engines. Familiarity with MLIR or other extensible compiler frameworks. Deep proficiency in low-level GPU programming, including the use of modern hardware features (e.g., Tensor Cores, warp-level shuffles, or asynchronous transfer pipelines)

Experience designing Domain-Specific Languages (DSLs) or tile-based programming abstractions for tensor processing. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.

If you're a creative and autonomous engineer with a real passion for programming languages and systems technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 25, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.


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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