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Cuda Developer Jobs in Texas (NOW HIRING)

NVIDIA

Senior HPC Storage Engineer

Austin, TX · On-site

... GPUs, CUDA programming, and NCCL, including performance benchmarking via MLPerf. • Deep familiarity with storage hardware (HDDs, SSDs, NVMe), enclosures, and specialized appliances like Network ...

Spectral MD Inc

Software Engineer

Dallas, TX · On-site

Coordinate CUDA ↔ OpenGL interoperability for real-time visualization Required Qualifications ... Experience with multi-threaded programming and async execution models * Experience with 3D point ...

Nvidia

High Performance AI Engineer

Austin, TX

... CUDA or equivalent). Ways To Stand Out From The Crowd: * Strong experience in building/evaluating deep learning models, coding agents and developer tooling. * Demonstrated ability to optimize and ...

New

NVIDIA

Solutions Architect, Supercomputing

Austin, TX · On-site

$62.50 - $82.25/hr

Preferred : • Experience applying data science to industry problems. • Experience using GPGPU programming and design practices. • CUDA programming and optimization experience. • Background ...

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How much do cuda developer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for cuda developer in Texas is $104,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $121,100.00 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 job?

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 Texas? The most popular types of Cuda Developer jobs in Texas are:
What are popular job titles related to Cuda Developer jobs in Texas? For Cuda Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Cuda Developer jobs in Texas look for? The top searched job categories for Cuda Developer jobs in Texas are:
What cities in Texas are hiring for Cuda Developer jobs? Cities in Texas with the most Cuda Developer job openings:
Cuda Developer jobs near you
Infographic showing various Cuda Developer job openings in Texas as of July 2026, with employment types broken down into 83% Full Time, 3% Part Time, 10% Temporary, 1% Contract, and 3% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $104,201 per year, or $50.1 per hour.
Senior HPC Storage Engineer

Senior HPC Storage Engineer

NVIDIA

Austin, TX • On-site

Full-time

Re-posted 24 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, now focusing on AI to define the next era of computing. As a Senior HPC Storage Engineer, you will lead the research, design, and implementation of innovative storage solutions for high performance computing workloads, while collaborating with teams to optimize infrastructure performance and resource utilization.
Responsibilities:
• Research and analyze existing internal distributed storage services.
• Research, design, and implement scalable, next-gen distributed storage services for HPC workloads, optimizing both performance and cost-effectiveness to meet NVIDIA’s growing infrastructure needs
• Develop tooling to automate management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
• Detail the general procedures and practices, perform technology evaluations, related to distributed file systems.
• Collaborate across teams to better understand developers' workflows and capture their infrastructure requirements.
• Influence and guide methodologies for building, testing, and deploying applications to ensure efficient performance and resource utilization.
• Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows
• Root cause analysis and suggest corrective action for problems large and small scales
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience.
• 8+ years of experience designing and/or operating large scale storage infrastructure.
• Experience analyzing and tuning storage performance for a variety of workloads.
• Proficient in Centos/RHEL and/or Ubuntu Linux distros including Python programming and bash scripting
• In depth understanding of container technologies like Docker, Enroot
Preferred:
• Extensive experience with parallel and distributed filesystems (Ceph, Weka.io, Vast, Lustre, GPFS) and Linux storage kernel development.
• Proficient with NVIDIA GPUs, CUDA programming, and NCCL, including performance benchmarking via MLPerf.
• Deep familiarity with storage hardware (HDDs, SSDs, NVMe), enclosures, and specialized appliances like Network Appliance.
• Strong background in Software Defined Networking (SDN) and high-performance networking for AI/HPC clusters.
• Practical experience applying industry-standard frameworks, specifically PyTorch and TensorFlow.
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.

What Nvidia employees say

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

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