Senior Deep Learning Engineer
NVIDIAJob Description
We are seeking a Senior Deep Learning Engineer to join our team at NVIDIA, a leader in AI and accelerated computing. This role is pivotal in optimizing performance across all layers of the hardware/software stack, from GPU architecture to deep learning frameworks, to achieve peak performance.
Responsibilities
- Implement deep learning models from various data domains such as CV, NLP/LLMs, ASR, TTS, RecSys, and others using multiple DL frameworks (PyTorch, JAX, TensorFlow, DGL, etc.).
- Develop and test new software features (e.g., Graph Compilation, reduced precision training) leveraging the latest hardware functionalities.
- Analyze, profile, and optimize deep learning workloads on cutting-edge hardware and software platforms.
- Collaborate with researchers and engineers across NVIDIA to enhance the design, usability, and performance of workloads.
- Lead best practices for building, testing, and releasing DL software.
Requirements
- 3+ years of experience in deep learning model implementation and software development.
- BSc, MS, or PhD in Computer Science, Computer Architecture, or a related technical field.
- Excellent Python programming skills and extensive knowledge of at least one DL framework (PyTorch, TensorFlow, JAX, MXNet).
- Strong problem-solving and analytical skills.
- Solid understanding of algorithms and deep learning fundamentals.
Preferred Qualifications
- Experience in performance measurements and profiling.
- Familiarity with containerization technologies such as Docker.
- GPU programming experience (CUDA or OpenCL) is a plus.
- Strong understanding of Linux environments.
- Knowledge and passion for DevOps/MLOps practices in deep learning product development.
Why NVIDIA?
NVIDIA is widely recognized as one of the most desirable employers in the technology sector. We are committed to fostering a diverse and inclusive workplace and are proud to be an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Join us and be part of a team that is at the forefront of the AI revolution, working on projects that have a global impact.
Benefits Extracted with AI
- Equal opportunity employer
- Diversity and inclusion
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