NVIDIA
AI computing
SolutionsArchitect–AcceleratedComputingLibrariesTPM
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Architect – Accelerated Computing Libraries TPM at NVIDIA. Skills: Accelerated computing, AI libraries, HPC libraries, LLM inference, LLM training. Drive adoption of NVIDIA libraries. Work closely with customers”
Industry & Context.
Define problems; Explore solution options; Validate solution options
What They're Looking For.
Must Have
5+ years of experience, Master's degree or above, Solid programming skills, Experience working with customers, Ability to analyze and define problems, Excellent communication skills, Proficiency in English and Chinese
Nice to Have
Hands-on experience with NVIDIA GPUs, CUDA experience, Experience with one or more NVIDIA libraries, Experience with other AI/HPC frameworks, Background in high-performance computing, Background in distributed training/inference, Background in large-scale system performance optimization, Experience conducting performance analysis, Experience with benchmarking, Experience defining meaningful KPIs, Experience driving performance tuning, Contributions to open-source projects, Technical blogs contributions, Public talks contributions, Demonstrated ability to define new problem spaces, Demonstrated ability to propose end-to-end solution architectures, Demonstrated ability to influence cross-functional teams
What You'll Do.
Drive adoption of NVIDIA libraries
Work closely with customers
Understand customer workloads
Map requirements to NVIDIA libraries
Identify functional gaps
Identify performance gaps
Identify usability gaps
Design solutions using NVIDIA libraries
Validate solutions using NVIDIA libraries
Develop reference designs
Collaborate with NVIDIA teams
Turn customer needs into product improvements
Build technical assets
Maintain technical assets
Scale NVIDIA libraries
Track industry trends
Analyze competitors' solutions
Provide insights on library evolution
How You'll Work.
Team & Collaboration
Customers' technical teams; Local field teams; Global product teams; NVIDIA product teams; NVIDIA engineering teams; Cross-functional teams
Communication Scope
Explain complex concepts; Structure documents; Structure presentations
Full Job Description
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. **What You’ll Be Doing:** * Drive the adoption of key NVIDIA AI and accelerated computing libraries across multiple industries by working closely with customers’ technical teams, local field teams, and global product teams. * Deeply understand customers’ workloads and requirements, and map them to NVIDIA libraries, identifying functional, performance, and usability gaps. * Design and validate solutions using NVIDIA libraries (e.g., for inference, training, data processing, and simulation), including PoCs, benchmarks, and best-practice reference designs. * Collaborate with NVIDIA product and engineering teams to prioritize and close key gaps through feature requests, performance tuning, and roadmap feedback, turning customer needs into concrete product improvements. * Build and maintain technical assets (sample code, reference implementations, design guides, internal playbooks) that help scale NVIDIA libraries to more customers and use cases. * Track and analyze industry trends and competitors’ solutions, and provide insights on how NVIDIA’s libraries should evolve to better meet market and customer expectations. **What We Need to See:** * 5+ years of experience in the technology industry in roles such as solutions architect, systems engineer, ML engineer, or software engineer, with a master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields. * Strong interest in accelerated computing, GPU computing, and AI software stacks, with
Applying for this Solutions Architect – Accelerated Computing Libraries TPM role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.