Nvidia Graphics Pvt Ltd
Senior Deep Learning Engineer, Deep Learning Algorithms- Poland-Nvidia Graphics
Nvidia Graphics Pvt Ltd, Poland, New York, United States
Senior Deep Learning Engineer, Deep Learning Algorithms
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 all the way 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.
Responsibilities
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 software features (Graph Compilation, reduced precision training) that use the most recent hardware 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 the creation of a large‑scale benchmarking system, capable of testing thousands of models on a vast diversity of hardware and software stacks.
Qualifications
3 years of experience in DL model implementation and software development.
BSc, MS or PhD degree in Computer Science, Computer Architecture or a 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
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 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. 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.
Locations:
Poland, Warsaw
#J-18808-Ljbffr
Responsibilities
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 software features (Graph Compilation, reduced precision training) that use the most recent hardware 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 the creation of a large‑scale benchmarking system, capable of testing thousands of models on a vast diversity of hardware and software stacks.
Qualifications
3 years of experience in DL model implementation and software development.
BSc, MS or PhD degree in Computer Science, Computer Architecture or a 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
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 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. 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.
Locations:
Poland, Warsaw
#J-18808-Ljbffr