NVIDIA
Senior Deep Learning Engineer, Deep Learning Algorithms
NVIDIA, Indiana, Pennsylvania, us, 15705
Senior Deep Learning Engineer, Deep Learning Algorithms
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Senior Deep Learning Engineer, Deep Learning Algorithms
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NVIDIA
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We are looking for senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning training, inference and NVIDIA AI Services. We are working across all layers of the hardware/software stack, from GPU architecture and Deep Learning Frameworks up to large scale computing and orchestration, to achieve peak performance. This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing company that leads the AI revolution.
Join the team building software used by the entire world. Work with world class software engineers to implement blazingly fast SOTA deep learning models that help understanding the end-to-end performance of NVIDIA’s DL software and hardware stack. Work on the most powerful, enterprise-grade GPU clusters capable of hundreds of Peta FLOPS and on unreleased hardware before anyone in the world.
Are you ready for this challenge?
What You’ll Be Doing
Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyTorch, JAX, TF2, DGL and others)
Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities
Analyze, profile, and optimize deep learning workloads on state-of-the-art hardware and software platforms
Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the design, usability and performance of workloads
Lead best-practices for building, testing, and releasing DL software
Contribute to creation of large scale benchmarking system, capable of testing thousands of models on vast diversity of hardware and software stacks
What We Need To See
3+ years of experience in DL model implementation and SW Development
BSc, MS or PhD degree in Computer Science, Computer Architecture or related technical field
Excellent Python programming skills
Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required
Strong problem solving and analytical skills
Algorithms and DL fundamentals
Docker containerization fundamentals
Ways To Stand Out From The Crowd
Experience in performance measurements and profiling
Experience with containerization technologies such as Docker
GPU programming experience (CUDA or OpenCL) is a plus but not required
Knowledge and love for DevOps/MLOps practices for Deep Learning-based product’s development
Experience with CI systems (preferably GitLab)
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and forward-thinking people in the world working for us. If you’re creative and autonomous, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
JR2001639
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
Referrals increase your chances of interviewing at NVIDIA by 2x
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Senior Deep Learning Engineer, Deep Learning Algorithms
role at
NVIDIA
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from NVIDIA.
We are looking for senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning training, inference and NVIDIA AI Services. We are working across all layers of the hardware/software stack, from GPU architecture and Deep Learning Frameworks up to large scale computing and orchestration, to achieve peak performance. This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing company that leads the AI revolution.
Join the team building software used by the entire world. Work with world class software engineers to implement blazingly fast SOTA deep learning models that help understanding the end-to-end performance of NVIDIA’s DL software and hardware stack. Work on the most powerful, enterprise-grade GPU clusters capable of hundreds of Peta FLOPS and on unreleased hardware before anyone in the world.
Are you ready for this challenge?
What You’ll Be Doing
Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyTorch, JAX, TF2, DGL and others)
Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities
Analyze, profile, and optimize deep learning workloads on state-of-the-art hardware and software platforms
Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the design, usability and performance of workloads
Lead best-practices for building, testing, and releasing DL software
Contribute to creation of large scale benchmarking system, capable of testing thousands of models on vast diversity of hardware and software stacks
What We Need To See
3+ years of experience in DL model implementation and SW Development
BSc, MS or PhD degree in Computer Science, Computer Architecture or related technical field
Excellent Python programming skills
Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required
Strong problem solving and analytical skills
Algorithms and DL fundamentals
Docker containerization fundamentals
Ways To Stand Out From The Crowd
Experience in performance measurements and profiling
Experience with containerization technologies such as Docker
GPU programming experience (CUDA or OpenCL) is a plus but not required
Knowledge and love for DevOps/MLOps practices for Deep Learning-based product’s development
Experience with CI systems (preferably GitLab)
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and forward-thinking people in the world working for us. If you’re creative and autonomous, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
JR2001639
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries: Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
Referrals increase your chances of interviewing at NVIDIA by 2x
Sign in to set job alerts for “Deep Learning Engineer” roles. Software Engineer Java (80%-100%) - Bern Software Engineer Java (80%-100%) - St Gallen .NET Software Engineer (80%-100%) - Bern .NET Software Engineer (80%-100%) - Basel Full-Stack Blockchain Developer - Backend Oriented .NET Software Engineer (80%-100%) - Lucerne We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr