Solutions Architect – Accelerated Computing Libraries TPM

Responsibilities

• Drive the adoption of key NVIDIA AI and accelerated computing libraries across multiple industries by collaborating with customers, field teams, and global product teams.
• Track and drive joint projects between local Solutions Architect teams and global product teams, ensuring clear ownership, milestones, and feedback loops.
• Deeply understand customer workloads and requirements to map them to NVIDIA libraries, identifying functional, performance, and usability gaps.
• Collaborate with NVIDIA product and engineering teams to prioritize feature requests and performance tuning based on customer needs.
• Analyze industry trends and competitor solutions to provide insights for the evolution of NVIDIA libraries.

Requirements

• 5+ years of experience in the technology industry (e.g., Solutions Architect, Systems Engineer, ML Engineer, Product Manager, or Software Engineer).
• Master's degree or above in Computer Science, Mathematics, Electrical Engineering, Automation, or a related field.
• Proven experience in product management or technical program management, including managing feature backlogs and cross-functional coordination.
• Strong interest in accelerated computing, GPU computing, and AI software stacks.
• Proficiency in both written and spoken English and Chinese.
• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.

Preferred Qualifications

• Track record of owning a product or feature roadmap in the AI or infrastructure software domain.
• Background in high-performance computing (HPC), distributed training/inference, or large-scale system performance optimization.
• Contributions to open-source projects, technical blogs, or public speaking in the AI/ML systems space.
• Demonstrated ability to influence cross-functional teams and propose end-to-end solution architectures.

About the Company

NVIDIA is the leading company in AI computing. Our employees are passionate about AI, HPC, and gaming. We help design the architecture of AI computing platforms and solve complex computational challenges in LLM inference, training acceleration, and network optimization.