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Tier-1 employer and metro location increase applicant density despite niche ML specialization.
Highly specialized ML and performance optimization skills limit cross-industry transferability.
Explicit 8+ years requirement plus advanced ML, degree, and framework expertise.
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Optimize machine learning training and inference performance across NVIDIA AI Services and hardware/software stack.
Implement and profile state-of-the-art machine learning models in multiple domains and ML frameworks to assess end-to-end DL stack performance.
Collaborate internally to guide design, usability, and performance improvements of ML models and lead ML software best practices.
8+ years of experience in machine learning model implementation and software development.
MS or PhD in Computer Science, Computer Architecture, Mathematics, Physics or related technical field, or equivalent experience.
Proficient in Python and at least one ML framework (e.g., PyTorch, JAX, TensorFlow 2, DGL).
Experience with source control systems like Git.
Experienced with performance analysis and optimization of ML workloads on advanced hardware and software environments.
Able to work across multiple data domains including computer vision, NLP/LLMs, speech, and recommendation systems.
Skilled at collaborating across research and engineering teams to influence ML software design and deployment at scale.