NVIDIA
Senior Deep Learning Performance Engineer Training At Scale (Remote)
Senior Deep Learning Performance Engineer Training At Scale |NVIDIA | Poland
Senior Deep Learning Performance Engineer Training At Scale | NVIDIA | Poland
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 (PyT, 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
What We Need To See
- 5+ years of experience in DL model implementation and SW Development
- BSc, MS or PhD degree in Computer Science, Computer Architecture, Mathematics, Physics or related technical field or equivalent experience
- Excellent Python programming skills, extensive knowledge of at least one DL Framework
- Strong problem solving and analytical skills
- Algorithms and DL fundamentals
Ways To Stand Out From The Crowd
- Experience in performance measurements and profiling
- Experience with running large-scale workloads in HPC clusters
- Knowledge and love for DevOps/MLOps practices for Deep Learning-based product’s development.
- Solid understanding of Linux environments and containerization technologies such as Docker
- GPU programming experience (CUDA or OpenCL) is a plus but not required.
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.
JR1980206
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