Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
NVIDIA's compiler technologies are key enablers of AI at scale, turning rapidly evolving deep learning models into highly optimized GPU programs for training and inference. As AI models, GPU ...
NVIDIA's compiler technologies are key enablers of AI at scale, turning rapidly evolving deep learning models into highly optimized GPU programs for training and inference. As AI models, GPU ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
Austin, TX · On-site
$121K - $160K/yr
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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
$121K - $160K/yr
Strong experience in building/evaluating deep learning models, coding agents and developer tooling ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...
$121K - $160K/yr
Strong experience in building/evaluating deep learning models, coding agents and developer tooling ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...
Austin, TX · On-site
$121K - $160K/yr
Strong experience in building/evaluating deep learning models, coding agents and developer tooling ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...
Austin, TX · On-site
$121K - $160K/yr
Strong experience in building/evaluating deep learning models, coding agents and developer tooling ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...
$121K - $160K/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 ...
$121K - $160K/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 ...
Austin, TX · On-site
$121K - $160K/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 ...
Austin, TX · On-site
$121K - $160K/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 ...
Austin, TX · On-site
$138K - $171K/yr
NVIDIA is seeking a deeply technical, creative and innovative software engineer help pioneer the ... Demonstrated experience with AI and deep learning techniques, including familiarity with neural ...
Austin, TX · On-site
$138K - $171K/yr
NVIDIA is seeking a deeply technical, creative and innovative software engineer help pioneer the ... Demonstrated experience with AI and deep learning techniques, including familiarity with neural ...
$138K - $171K/yr
NVIDIA is seeking a deeply technical, creative and innovative software engineer help pioneer the ... Demonstrated experience with AI and deep learning techniques, including familiarity with neural ...
$138K - $171K/yr
NVIDIA is seeking a deeply technical, creative and innovative software engineer help pioneer the ... Demonstrated experience with AI and deep learning techniques, including familiarity with neural ...
Austin, TX · On-site
... 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 ...
Austin, TX · On-site
... 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 ...
Austin, TX · On-site
$103K - $142K/yr
... deep learning frameworks and performancecritical workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...
Austin, TX · On-site
$103K - $142K/yr
... deep learning frameworks and performancecritical workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...
Austin, TX · On-site
$138K - $171K/yr
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
Austin, TX · On-site
$138K - $171K/yr
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
$138K - $171K/yr
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
$138K - $171K/yr
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...
$103K - $142K/yr
Familiarity with deep learning frameworks and performancecritical workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one ...
$103K - $142K/yr
Familiarity with deep learning frameworks and performancecritical workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one ...
Austin, TX · Hybrid
$54 - $71.25/hr
Expertise in parallelization and performance optimization of Deep Learning models arising from ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...
Austin, TX · Hybrid
$54 - $71.25/hr
Expertise in parallelization and performance optimization of Deep Learning models arising from ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...
Austin, TX · Hybrid
$54 - $71.25/hr
Expertise in parallelization and performance optimization of Deep Learning models arising from ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...
Austin, TX · Hybrid
$54 - $71.25/hr
Expertise in parallelization and performance optimization of Deep Learning models arising from ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...
An Nvidia Deep Learning job typically involves working with AI, machine learning, and deep learning technologies to develop, optimize, and deploy neural network models. Employees in these roles may work on GPU acceleration, AI frameworks like TensorFlow and PyTorch, and specialized hardware like NVIDIA GPUs and TensorRT. Positions can range from research scientists and software engineers to AI infrastructure specialists, focusing on improving model performance and scalability. These professionals contribute to cutting-edge AI applications in fields like autonomous vehicles, healthcare, and robotics.
Professionals in Nvidia Deep Learning positions often encounter challenges such as optimizing deep learning models to run efficiently on GPU architectures, keeping up with rapidly evolving AI frameworks, and troubleshooting complex system-level integration issues. They may also need to balance tight project deadlines with the demands of rigorous research and experimentation. Collaboration with interdisciplinary teams—such as software developers, data scientists, and hardware engineers—is common and essential to deliver robust solutions. Overcoming these challenges helps professionals stay at the forefront of innovation in the AI and deep learning industry.
Excelling in an Nvidia Deep Learning role requires a strong background in computer science, machine learning, and mathematics, often supported by an advanced degree in a related field. Expertise in deep learning frameworks (such as TensorFlow or PyTorch), CUDA programming, and experience with Nvidia GPU hardware are typically expected, along with relevant certifications like Nvidia Deep Learning Institute credentials. Strong analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this position. These skills are crucial to efficiently develop, optimize, and deploy deep learning models leveraging Nvidia technologies in cutting-edge applications.
For Nvidia Deep Learning jobs in Texas, the most frequently searched job titles are:
The top searched job categories for Nvidia Deep Learning jobs in Texas are:
$121K - $160K/yr
Full-time
Re-posted 2 days ago
9.6
Based on 18 frontline employees who took The Breakroom Quiz
6th of 247 rated software companies
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 enthusiastic about performance and eager to help bridge the gap between current performance and what's theoretically possible, apply to join the CUTLASS team today. What you'll be doing: Benchmark the performance of state-of-the-art deep learning models' inference and training passes to identify key GPU kernel and fusion opportunities. Identify gaps between theoretical and realized performance, and suggest software improvements or model adjustments to resolve them.
Develop tooling to automate the benchmarking, analysis, and performance optimization loop to push the limit of CUTLASS kernel performance within DL networks. Be the authoritative resource on kernel performance in the team and engage with teams across NVIDIA including GPU architecture, DL frameworks, and QA as the performance representative for the CUTLASS team. 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 programming skills in Python and C++. Experience in software performance analysis and optimization.
Deep understanding of computer architecture and familiarity with GPUs or similar parallel processing architectures. Ways to stand out from the crowd: Deep understanding of state-of-the art DL model architectures. Hands-on experience with performance benchmarking of DL frameworks like PyTorch, JAX, SGLang, vLLM, TRT-LLM, or others.
Experience in developing performance models and performance regression systems. 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.
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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
