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Cuda Developer Jobs in Austin, TX (NOW HIRING)

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Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with ... Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with ...

Nvidia

Senior Software Engineer - TensorRT Edge-LLM

Austin, TX · Hybrid

$121K - $160K/yr

Contribute to CUDA kernel and operator development for critical transformer components such as ... Proficient programming ability with modern C++ (C++11/14/17 and beyond). * Familiarity with popular ...

Nvidia

Senior Developer Technology Engineer - AI

Austin, TX · Hybrid

$54 - $71.25/hr

A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. * Hands on experience doing low-level performance optimizations. * In-depth expertise with CPU and ...

Nvidia

Principal Architect, AI Networking

Austin, TX · On-site

CUDA programming and NVIDIA GPU architecture expertise. * Proved experience influencing product strategy and technical roadmap at a senior level. * Major open-source contributions. With competitive ...

Nvidia

Senior HPC Storage Engineer

Austin, TX · On-site

Proficient with NVIDIA GPUs, CUDA programming, and NCCL, including performance benchmarking via MLPerf. * Hardware & Storage Engineering: Deep familiarity with storage hardware (HDDs, SSDs, NVMe ...

Nvidia

Senior HPC Cluster Engineer

Austin, TX · On-site

$103K - $142K/yr

Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking. * Experience supporting EDA workloads and tools. * Familiarity with High-Speed Networking pertaining to HPC including ...

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Cuda Developer information

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How much do cuda developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cuda developer in Austin, TX is $110,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $128,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Cuda developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What is a Cuda developer?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

What are the most commonly searched types of Cuda Developer jobs in Austin, TX? The most popular types of Cuda Developer jobs in Austin, TX are:
What are popular job titles related to Cuda Developer jobs in Austin, TX? For Cuda Developer jobs in Austin, TX, the most frequently searched job titles are:
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Cuda Developer jobs near you
Infographic showing various Cuda Developer job openings in Austin, TX as of July 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $110,862 per year, or $53.3 per hour.

Senior Software Engineer, CUTLASS Kernels

Nvidia

Austin, TX

$121K - $160K/yr

Full-time

Re-posted 6 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'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 developing and optimizing math kernels to extract the highest performance out of the hardware architecture, apply to join the CUTLASS team today!

What you'll get to do:

  • Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures.

  • Optimize kernels for peak throughput on both silicon and software performance simulators.

  • Collaborate with teams across NVIDIA including the GPU architecture, NVVM/PTX compiler, CUDA library, and DL frameworks teams to ensure fast, functional, and timely kernel delivery to customers.

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 with CUDA, OpenCL, HIP, SYCL, Mojo, Pallas, Triton, Mosaic, Halide, or any general-purpose or domain-specific programming language targeting highly parallel accelerators.

  • Deep understanding of computer architecture and some experience working at the assembly level.

Ways to stand out from the crowd:

  • Experience writing code specifically targeting NVIDIA Tensor Cores, particularly through PTX or CUDA/cuTile.

  • Open-source contributions to math kernel libraries or 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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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

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