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Temporary Compiler Software Engineer Jobs in Austin, TX

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · Hybrid

$100K - $500K/yr

Alignment with hardware, software, and ML teams to ensure the compiler supports realistic ... Insight to identify bottlenecks, debug performance issues, and improve developer workflows across ...

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · On-site

$100K - $500K/yr

Alignment with hardware, software, and ML teams to ensure the compiler supports realistic ... Insight to identify bottlenecks, debug performance issues, and improve developer workflows across ...

Cadence

Software Engineer II: AI Compiler Engineer

Austin, TX · Hybrid

$96K - $132K/yr

As a Software Engineer II: AI Compiler Engineer you will work with complex high performance SoC's, and is one of the best kept secrets within the semi IP world powering AR/VR, HiFi Audio and Speech ...

Tenstorrent

Sr. Engineer, Software - AI Compiler

Austin, TX · On-site

$100K - $500K/yr

A passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds. * Fluent in C++ and Python ...

Nvidia Corporation

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

What we need to see: * BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools. * 8+ years of software engineering ...

Nvidia

Senior Compiler Engineer - DL

Austin, TX · On-site

$121K - $160K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

Nvidia

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

What we need to see: * BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools. * 8+ years of software engineering ...

NVIDIA

Senior Software Engineer, CUTLASS Platform

Austin, TX · On-site

$121K - $160K/yr

They are seeking a Senior Software Engineer to develop core components of the CUTLASS platform and contribute to the advancement of the MLIR-based backend compiler stack. Responsibilities : • ...

Nvidia

Senior GPU Compiler Development Engineer

Austin, TX · On-site

$121K - $160K/yr

We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX ... Good track record of developing, driving and delivering software products. Ways to stand out from ...

NVIDIA

Senior Compiler Engineer - AI

Austin, TX · On-site

$103K - $142K/yr

Required : • BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools. • 8+ years of software engineering and AI ...

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All JobsTemporary Compiler Software Engineer JobsTemporary Compiler Software Engineer Jobs in Austin, TX

Temporary Compiler Software Engineer information

See Austin, TX salary details

$23.8K

$103.9K

$187.3K

How much do temporary compiler software engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for temporary compiler software engineer in Austin, TX is $103,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $118,900.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Compiler Software Engineer vs Temporary Software Developer?

AspectTemporary Compiler Software EngineerTemporary Software Developer
Required CredentialsBachelor's in Computer Science or related field; knowledge of compiler designBachelor's in Computer Science or related field; programming skills
Work EnvironmentR&D teams, specialized in language processingVarious industries, application development
Employer & Industry UsageTech companies, compiler and language tool firmsSoftware firms, startups, tech companies
Common Search & ComparisonOften compared for technical skills and project scopeBroader role, general programming tasks

The main difference is that a Temporary Compiler Software Engineer specializes in compiler design and language processing, requiring specific knowledge of compiler construction. In contrast, a Temporary Software Developer has a broader focus on application development across various domains. Both roles often require similar educational backgrounds but differ in technical expertise and work focus.

What are the most commonly searched types of Compiler Software Engineer jobs in Austin, TX? The most popular types of Compiler Software Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Temporary Compiler Software Engineer jobs? Cities near Austin, TX with the most Temporary Compiler Software Engineer job openings:
Temporary Compiler Software Engineer jobs near you
Infographic showing various Temporary Compiler Software Engineer job openings in Austin, TX as of June 2026, with employment types broken down into 59% Full Time, 29% Part Time, 11% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $103,941 per year, or $50 per hour.
Senior Deep Learning Compiler Engineer - XLA

Senior Deep Learning Compiler Engineer - XLA

Nvidia

Austin, TX • On-site

$103K - $142K/yr

Full-time

Posted 5 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are looking for versatile software engineers for our XLA team. NVIDIA is at the center for the AI revolution that's transforming how people live, work, and interact with technology. Come join us to build high-performance, production-grade software that's at the core of next-generation AI systems.

What you will be doing:

In this role, develop compiler optimization algorithms for deep learning workloads. You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You'll collaborate with our partners in deep learning framework teams and our hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts include:

  • Crafting and implementing compiler optimization techniques for deep learning network graphs.

  • Designing novel graph partitioning and tensor sharding techniques for distributed training and inference.

  • Performance tuning and analysis.

  • Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI Triton.

  • Designing user facing features in JAX and related libraries and other general software engineering work.

  • Working closely with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience).

  • 4+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Ability to work independently, define project goals and scope, and lead your own development effort adopting clean software engineering and testing practices.

  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

  • Strong foundation in architecture of CPU, GPUs or other high performance hardware accelerators. Knowledge of high-performance computing and distributed programming.

  • CUDA or OpenCL programming experience is desired but not required.

  • Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. A history of mentoring junior engineers and interns is a bonus.

Ways to stand out from the crowd:

  • Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow.

  • Extensive experience with CUDA or with GPUs in general.

  • Experience with open-source compilers such as XLA, LLVM, MLIR or TVM.

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 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 March 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.#deeplearning
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

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