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Compiler Software Engineer Jobs in Texas (NOW HIRING)

Senior Software Engineer, CUTLASS Platform

Austin, TX · On-site

$121K - $160K/yr

Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL ... Strong proficiency in C++ programming and software design, including debugging, performance ...

The role involves developing open source compiler toolsets for Qualcomm silicon and enhancing ... Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. • ...

Senior LLVM Compiler Engineer

Austin, TX

$103K - $142K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... Partner with architecture, performance, and product teams to translate NVIDIA hardware and software ...

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

We build innovative AI compiler solutions that work together with NVIDIA's software stack to ... Collaborate closely with other engineering teams at NVIDIA to build high impact solutions for ...

Senior AI Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

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

The tech stack includes a core compiler-like engine, a heavily asynchronous/distributed backend ... Software Engineer - Backend Location : Remote or Austin, TX About the Role Our core innovation, the ...

Software Engineer - Backend

Austin, TX · On-site +1

$175K - $275K/yr

The tech stack includes a core compiler-like engine, a heavily asynchronous/distributed backend ... Software Engineer - Backend Location : Remote or Austin, TX About the Role Our core innovation, the ...

What you could be doing as a Graduate GPU Modeling and Compiler Engineer? Your job responsibilities ... Proficiency in hardware/software development. Qualities that will help your application stand out:

Senior ML Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

Expertisein the software development life-cycle - coding, debugging, optimization, testing ... GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML ...

What you could be doing as a Graduate GPU Modeling and Compiler Engineer? Your job responsibilities ... Proficiency in hardware/software development. Qualities that will help your application stand out:

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Compiler Software Engineer information

What is a Compiler Software Engineer?

A Compiler Software Engineer is a specialized software developer who designs, implements, and maintains compilers. Compilers are programs that translate source code written in one programming language into another, typically from high-level languages like C++ or Python into machine code that a computer can execute. Compiler engineers work on optimizing code performance, ensuring correctness, and supporting new programming language features. They often have strong backgrounds in computer science, algorithms, and systems programming.

What are some common challenges faced by Compiler Software Engineers when optimizing code for different hardware architectures?

Compiler Software Engineers often encounter challenges when adapting and optimizing code for various hardware architectures, such as balancing performance improvements with maintaining code portability and correctness. Each architecture may have unique instruction sets, memory hierarchies, and parallelization capabilities, requiring careful tuning of compiler optimizations. Additionally, collaboration with hardware engineers and staying updated on evolving processor technologies are essential to ensure efficient code generation. This aspect of the role provides continuous learning opportunities and keeps the work both dynamic and technically rewarding.

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

To thrive as a Compiler Software Engineer, you need a strong background in computer science, programming languages (such as C/C++), and compiler theory, usually supported by a relevant degree. Familiarity with tools like LLVM, GCC, and debuggers, as well as experience with code optimization and static analysis, is typically required. Strong problem-solving abilities, attention to detail, and effective communication set outstanding engineers apart. These skills ensure robust, efficient compiler development and seamless collaboration with development teams.

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

AspectCompiler Software EngineerSoftware Developer
Required CredentialsBachelor's or higher in Computer Science, specialized knowledge in compilersBachelor's or higher in Computer Science or related field
Work EnvironmentResearch labs, tech companies, compiler development teamsVaried environments including startups, corporations, freelance projects
Industry UsagePrimarily in compiler design, programming language development, systems softwareWeb, mobile, enterprise applications, software solutions

Compiler Software Engineers focus on designing and optimizing compilers and language tools, often working in specialized teams. Software Developers create a wide range of applications across industries. While both roles require programming skills, Compiler Software Engineers have a niche expertise in language translation and optimization, making their work more specialized.

What are the most commonly searched types of Compiler Software Engineer jobs in Texas? The most popular types of Compiler Software Engineer jobs in Texas are:
Senior Software Engineer, CUTLASS Platform

Senior Software Engineer, CUTLASS Platform

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Posted 4 days ago


Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are passionate about designing abstractions for Tensor Core and related GPU hardware features in MLIR, Python, and C++ that enable writing high performance kernels, apply to join the CUTLASS team today!

What you'll be doing:

  • Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.

  • Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.

  • Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance.

  • Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features.

What we need to see:

  • Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 3+ years of relevant industry experience.

  • Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.

  • Experience working with high-performance code generation and knowledge of compiler transformations and optimizations.

  • A deep understanding of computer architecture and parallel computing programming models.

Ways to stand out from the crowd:

  • Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures.

  • Hands-on compiler design experience, particularly in MLIR.

  • Understanding of deep learning models, algorithms, and frameworks.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 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.

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