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Intel
San Jose, CA, United States
Job Details: Job Description: The Intel Software and Advanced Technology Group's Microsoft Technology Center (MTC) delivers innovative, high quality software that differentiates Intel products and maximizes customer value. MTC's mission is to ensure Microsoft operating environments, tools, and key applications run best on Intel architecture a
Job Source: IntelIntel
San Jose, CA, United States
Job Details: Job Description: The Intel Software and Advanced Technology Group's Microsoft Technology Center (MTC) delivers innovative, high quality software that differentiates Intel products and maximizes customer value. MTC's mission is to ensure Microsoft operating environments, tools, and key applications run best on Intel architecture and
Job Source: IntelIntel
San Jose, CA, United States
Job Details: Job Description: The Azure Solutions Engineering team within MTC at Intel has an opportunity available for a Senior Engineer to join our team and make significant impact on the bleeding edge Intel Hardware to be used by Microsoft Azure. You will work closely with Intel technology leaders and external partners to help optimize and
Job Source: IntelCharacter.ai
Menlo Park, CA, United States
About the role We're looking for a seasoned Research Engineer with expertise in GPU computing to design high-performance kernels for our training and inference workloads using CUDA/CUTLASS, C++, and Python. Responsibilities: Using the capabilities of GPUs and other accelerators to the fullest extent to make our custom model architectures fast and
Job Source: Character.aiDatabricks
Mountain View, CA, United States
P-97 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We constantly push the boundaries of data and AI technology, while simultaneously oper
Job Source: DatabricksPenn Foster
Santa Clara, CA, United States
We are now looking for a highly motivated Sr Performance Software Engineer to join this dynamic and innovative team. 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 modern AI — the next era of com
Job Source: Penn FosterEtched.ai, Inc.
Cupertino, CA, United States
About Etched Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and e
Job Source: Etched.ai, Inc.Databricks
Mountain View, CA, United States
P-97 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We constantly push the boundaries of data and AI technology, while simultaneously oper
Job Source: DatabricksSanta Clara, CA, United States
We are now looking for a Performance Software Engineer for Deep Learning Libraries! Do you enjoy tuning parallel algorithms and analyzing their performance? If so, we want to hear from you! As a deep learning library performance software engineer, you will be developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs. The team delivers high-performance code to NVIDIA’s cuDNN, cuBLAS, and TensorRTlibraries to accelerate deep learning models. The team is proud to play an integral part in enabling the breakthroughs in domains such as image classification, speech recognition, and natural language processing. Join the team that is building the underlying software used across the world to power the revolution in artificial intelligence! We’re always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our CUTLASS open-source project showcasing performant matrix multiply on NVIDIA’s Tensor Cores with CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.
What you'll be doing:
Writing highly tuned compute kernels, mostly in C++ CUDA, to perform core deep learning operations (e.g. matrix multiplies, convolutions, normalizations)
Following general software engineering best practices including support for regression testing and CI/CD flows
Collaborating with teams across NVIDIA:
CUDA compiler team on generating optimal assembly code
Deep learning training and inference performance teams on which layers require optimization
Hardware and architecture teams on the programming model for new deep learning hardware features
What we need to see:
Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field
Demonstrated strong C++ programming and software design skills, including debugging, performance analysis, and test design
Experience with performance-oriented parallel programming, even if it’s not on GPUs (e.g. with OpenMP or pthreads)
Solid understanding of computer architecture and some experience with assembly programming
Ways to stand out from the crowd:
Tuning BLAS or deep learning library kernel code
CUDA/OpenCL GPU programming
Numerical methods and linear algebra
LLVM, TVM tensor expressions, or TensorFlow MLIR
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.
The base salary range is 100,000 USD - 184,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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
Email Alert for Performance Software Engineer jobs in Santa Clara, CA, United States
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