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Tier-1 employer and metro location increase competition, but very specialized senior GPU/ML role reduces density.
Role requires deep GPU kernel, ROCm, and ML framework expertise, making cross-industry transferability low.
Explicit 12+ years requirement, specialized GPU/ML expertise, and mandatory open-source contributions enforce strict filters.
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Own design, development, and implementation of GPU software components for next-gen computational accelerators.
Provide technical leadership and mentorship in GPU technologies, collaborating across hardware and software teams to integrate GPU tech into wider systems.
Develop high-quality open source software solutions including drivers, APIs, and optimize GPU performance and efficiency.
12+ years of total work experience in relevant fields.
Strong programming skills in C++ and Python, with knowledge of GPU kernel programming basics.
Experience with AI/ML frameworks, GPU and CPU performance analysis, and open source software development including community collaboration.
Bachelor’s degree in Computer Science, Computer Engineering or equivalent; Advanced degrees (MTech, PhD) with relevant experience also acceptable.
Senior-level engineer with deep expertise in GPU architecture and software development, particularly in high-performance and AI-focused environments.
Experienced in leading technical design and implementation within open source and product delivery settings, capable of driving innovation and solving complex GPU-related challenges.
Comfortable working cross-functionally with hardware engineers, architects, and product teams to deliver integrated GPU technology solutions.