ZipRecruiter

Log In

1

Compiler Jobs in Texas (NOW HIRING)

Nvidia

Senior AI Inference Compiler Engineer

Austin, TX

$121.40K - $160.10K/yr

We are looking for an AI & Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and commercial groups around the world are ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$103.60K - $142.20K/yr

The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the ...

Nvidia

Senior AI Compiler Engineer, MLIR

Austin, TX

$121.40K - $160.10K/yr

NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning-from LLMs and generative AI to recommendation, vision, and speech. On this team, you'll build an MLIR ...

Targeted Talent

Compiler Tech Lead

Dallas, TX

$170K - $190K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities: * Design and implement software that maps neural nets onto our spatial architecture * Stay abreast of ...

Nvidia

Senior DL Compiler Engineer- CUDA Tile

Austin, TX

$121.40K - $160.10K/yr

You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across ...

next page

Showing results 1-20

People also search for

All JobsCompiler JobsCompiler Jobs in Texas

Compiler information

See Texas salary details

$8

$19

$33

How much do compiler jobs pay per hour?

As of May 31, 2026, the average hourly pay for compiler in Texas is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $22.60 per hour, depending on experience, location, and employer.

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

To thrive as a Compiler Engineer, you need a strong background in computer science, programming languages, and compiler theory, often supported by a relevant degree. Familiarity with tools like LLVM, GCC, and experience with languages such as C/C++ or Rust are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills in this field. These skills ensure the development of efficient, reliable compilers that support robust software and systems development.

What are the common challenges faced when working as a Compiler Engineer, and how can they be addressed?

Compiler Engineers often encounter challenges such as optimizing code for performance, ensuring compatibility across various hardware architectures, and maintaining the correctness of complex transformations. Debugging and diagnosing issues in the compilation process can be particularly intricate, requiring a strong understanding of both source and target languages. Collaborating closely with language designers and hardware engineers, as well as utilizing automated testing and profiling tools, helps address these challenges and results in more robust and efficient compilers.

What is a compiler?

A compiler is a specialized computer program that translates source code written in a high-level programming language into machine code or another lower-level language that a computer can execute. This process allows developers to write code in languages like C++, Java, or Python, which are easier for humans to understand, and then have it converted into instructions that hardware can process. Compilers perform various tasks such as syntax analysis, optimization, and code generation to ensure the resulting program runs efficiently and correctly.

What is the difference between Compiler vs Interpreter?

AspectCompilerInterpreter
FunctionTranslates entire code into machine language before executionTranslates code line-by-line during execution
SpeedFaster execution after compilationSlower due to real-time translation
UsageUsed in languages like C, C++Used in languages like Python, JavaScript
ErrorsErrors are found after compilationErrors are detected during execution
OutputProduces standalone executable filesRuns directly from source code

In summary, a compiler translates the entire program into machine code before execution, resulting in faster runtime and standalone files. An interpreter translates code line-by-line during execution, which can be slower but allows for easier debugging and dynamic execution. Both are essential in different programming environments depending on performance and development needs.

What are the most commonly searched types of Compiler jobs in Texas? The most popular types of Compiler jobs in Texas are:
What are popular job titles related to Compiler jobs in Texas? For Compiler jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Compiler jobs in Texas look for? The top searched job categories for Compiler jobs in Texas are:
What cities in Texas are hiring for Compiler jobs? Cities in Texas with the most Compiler job openings:
Compiler jobs near you
Infographic showing various Compiler job openings in Texas as of May 2026, with employment types broken down into 94% Full Time, 3% Temporary, and 3% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $40,329 per year, or $19.4 per hour.
Senior AI Compiler Engineer, Algorithms and Code-Generation

Senior AI Compiler Engineer, Algorithms and Code-Generation

NVIDIA

Austin, TX • On-site

$121.40K - $160.10K/yr

Full-time

Posted yesterday

Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, and they are seeking a Senior AI Compiler Engineer to join their Deep Learning & AI Compiler team. The role involves analyzing deep learning networks and developing compiler optimization algorithms to enhance performance on NVIDIA GPUs.
Responsibilities:
• Analyzing deep learning networks and developing compiler optimization algorithms.
• Strong programming skills in CUDA including analyzing and debugging performance bottlenecks on GPUs.
• Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.
Qualifications:
Required:
• Bachelor’s, master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.
• 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
• Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).
• Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
• Ability to work independently, define project goals and scope, and lead your own development efforts.
• Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Preferred:
• Proficient in CPU and/or GPU architecture especially modern Nvidia GPUs like Hopper and Blackwell.
• Understanding of deep learning models, algorithms, and frameworks, such as PyTorch, JAX.
• GPU kernel authoring and performance analysis using tools such as Nsight Compute.
• A track record of success in mentoring early-career engineers and interns is a bonus.
• Track record on new hardware bring-up is a plus.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

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

View All Nvidia Jobs

Apply