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Rust Programming Language Jobs in Texas (NOW HIRING)

Senior Compiler Engineer - Rust GPU

Austin, TX · On-site

$121K - $160K/yr

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 ...

DevOps Engineer

Austin, TX · Remote

$52.25 - $71.50/hr

Experience with at least one programming language (Python, Go, Rust, etc.) AI-Native Thinking * Actively uses AI tools to enhance productivity * Curious about how AI can improve workflows, automation ...

DevOps Engineer

Austin, TX · On-site +1

$150K - $250K/yr

Experience with at least one programming language (Python, Go, Rust, etc.) AI-Native Thinking * Actively uses AI tools to enhance productivity * Curious about how AI can improve workflows, automation ...

Senior Research Engineer

Frisco, TX · Hybrid

$97K - $134K/yr

Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.) #LI-SM2 This posting is for proactive recruitment purposes and may be ...

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Rust Programming Language information

See Texas salary details

$15

$28

$41

How much do rust programming language jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for rust programming language in Texas is $28.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $32.45 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?

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 job categories do people searching Rust Programming Language jobs in Texas look for? The top searched job categories for Rust Programming Language jobs in Texas are:
What cities in Texas are hiring for Rust Programming Language jobs? Cities in Texas with the most Rust Programming Language job openings:
Infographic showing various Rust Programming Language job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $59,988 per year, or $28.8 per hour.

Senior Compiler Engineer - Rust GPU

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Posted 16 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

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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

Year founded

1993