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Tier-1 employer, mid-level (2–5 yrs) AI role in metro locations increases applicant competition.
Role requires specialized GPU/CUDA ML expertise, limiting transferability across industries.
Explicit 2+ years requirement plus mandatory CUDA/C++ and AI algorithm expertise enforces stringent technical filters.
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Develop and optimize advanced deep learning, machine learning, and data analytics techniques for performance on current and next-generation GPU architectures.
Engage directly with key customers to understand their AI challenges and deliver optimal GPU-based solutions.
Collaborate with internal teams (architecture, research, software) to influence design of next-generation GPUs and programming models.
Master's degree or PhD in engineering, computer science, or related field, or equivalent experience.
Minimum 2 years of relevant work or research experience in AI or related computing fields.
Proficient in C/C++ programming with strong understanding of AI algorithms and software design.
Experience with parallel programming, ideally CUDA C/C++.
Experienced in AI algorithm development and GPU-based parallel computing environments.
Skilled at translating complex customer needs into high-performance AI solutions on GPU platforms.
Able to collaborate across architecture and software teams influencing next-gen hardware and software systems.