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Tier-1 brand, mid-level AI role in metro locations with broad applicant interest drives high competition.
Highly domain-specific GPU and CUDA expertise limits transferability outside ML and hardware-focused roles.
Requires advanced degree, explicit 2+ years and CUDA/C++ expertise, so filters are stringent.
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Develop and optimize advanced deep learning, graph, machine learning, and data analytics techniques for current and next-generation GPU architectures.
Engage directly with customers to understand their AI challenges and deliver GPU-based AI solutions.
Collaborate with NVIDIA’s architecture, research, libraries, and system software teams to influence next-gen architectures and programming models.
Master’s degree or PhD in engineering or computer science related discipline or equivalent experience.
Minimum 2 years of relevant work or research experience.
Strong proficiency in C/C++, software design, AI algorithms, and parallel programming (preferably CUDA C/C++).
Willingness to travel for conferences and on-site developer visits.
Experienced in AI algorithm development and GPU parallel programming with CUDA.
Skilled in performance optimization for GPU computing platforms.
Capable of collaborating across hardware and software teams and directly interfacing with customers on technical solutions.