NVIDIA

3 months ago

Solutions Architect – Accelerated Computing Libraries TPM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Lead adoption of NVIDIA’s AI and accelerated computing libraries across industries by aligning customer workloads with library capabilities, delivering PoCs and benchmarks, and guiding product improvements. Collaborate with global teams, create scalable technical assets, and stay ahead of industry trends to enhance performance and usability of AI software stacks built on NVIDIA libraries.

Location: Beijing, Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Drive the adoption of 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.

Key Requirements

•5+ years 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.

Experience:5+ yearsAIHPCGPU computing

Education:Master's

Skills:PythonCC++CommunicationProblem-solving

Languages:EnglishChinese

Tech Stack:PythonCC++CUDANCCLMCoreDynamoCUTLASS

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Solutions Architect – Accelerated Computing Libraries TPM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Beijing, Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Drive the adoption of 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.

Key Requirements

•5+ years 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.

Experience:5+ yearsAIHPCGPU computing

Education:Master's

Skills:PythonCC++CommunicationProblem-solving

Languages:EnglishChinese

Tech Stack:PythonCC++CUDANCCLMCoreDynamoCUTLASS

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor