Set strategy and lead execution for agentic AI systems for the CUDA ecosystem, defining roadmaps and measurable success metrics (performance, quality, reliability, developer productivity).
Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.
Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.
Collaborate across the AI stack and help drive architecture and key technical decisions —from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model and research/engineering teams.
Scale impact through leadership: mentor and grow senior technical talent.

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred
17+ years industry and/or academia experience with AI systems development; strong exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.
Strong C/C++ and Python programming skills; solid software engineering fundamentals; ability to set engineering standards and review architecture at scale.
Experience with GPU programming and performance optimization (CUDA or equivalent).
Proven track record leading large, cross-team efforts from concept through production, including navigating ambiguity, aligning stakeholders, and delivering measurable outcomes.

Benefits

Competitive salaries and a generous benefits package
Eligible for equity

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

CC++Pythondeep learning frameworksGPU programmingperformance optimizationsoftware engineering fundamentalsarchitecture reviewagentic AI systemsevaluation frameworks

Soft Skills

leadershipmentoringcollaborationinfluencingnavigating ambiguitystakeholder alignmentdelivering measurable outcomes

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Electrical EngineeringMS in Computer ScienceMS in Electrical EngineeringPhD in Computer SciencePhD in Electrical Engineering