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The Trade Desk, Inc.
Seattle, WA, United States
The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust
Job Source: The Trade Desk, Inc.The Trade Desk
Seattle, WA, United States
The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust
Job Source: The Trade DeskNVIDIA
Redmond, WA, 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 NV
Job Source: NVIDIAKirkland, WA, United States
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Kirkland, WA, USA . Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages, and with data structur
Job Source: GoogleAG Consulting Partners
Seattle, WA, United States
* We're excited to welcome new team members, and we're specifically focusing on candidates located withing driving distance to Seattle, Washington or Sunnyvale, California. Being on-site up to 4 times, a week is mandatory for this engagement. We're on the lookout for a diverse range of talents to join our consultant roster, which we'll use for both
Job Source: AG Consulting PartnersAG Consulting Partners, Inc.
Seattle, WA, United States
Performance Engineer (Hardware & Software) (Consultant) Seattle, Washington Technology and Analytics – Data and Insights / * We're excited to welcome new team members, and we're specifically focusing on candidates located withing driving distance to Seattle, Washington or Sunnydale, California. Being on-site up to 4 times, a week is mandatory fo
Job Source: AG Consulting Partners, Inc.AG Consulting Partners
Seattle, WA, United States
* We're excited to welcome new team members, and we're specifically focusing on candidates located withing driving distance to Seattle, Washington or Sunnydale, California. Being on-site up to 4 times, a week is mandatory for this engagement* As a Senior Performance Engineer Consultant for AG Consulting Partners, a typical day might include the fo
Job Source: AG Consulting PartnersAnthropic
Seattle, WA, United States
Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving l
Job Source: AnthropicRedmond, WA, United States
We are now looking for a Senior 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
6+ years of relevant industry experience
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 180,000 USD - 339,250 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 Senior Performance Software Engineer jobs in Redmond, WA, United States
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