Senior Deep Learning Performance Optimization Specialist
4 weeks ago
We are seeking a senior deep learning performance engineer to help us optimize our deep learning training, inference, and NVIDIA AI Services. This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing company that leads the AI revolution.
Key Responsibilities:
- Implement deep learning models from multiple data domains in multiple DL frameworks.
- Analyze, profile, and optimize deep learning workloads on state-of-the-art hardware and software platforms.
- Collaborate with researchers and engineers across NVIDIA to improve the design, usability, and performance of workloads.
- Lead best-practices for building, testing, and releasing DL software.
Requirements:
- 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.
Preferred Qualifications:
- Experience in performance measurements and profiling.
- Experience with running large-scale workloads in HPC clusters.
- 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 an equal opportunity employer and values 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.
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