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.
Track and drive joint projects between local SA team and global product teams, ensuring clear ownership, milestones, execution status, and feedback loops from customer engagements to product roadmap decisions.
Deeply understand customers’ workloads and requirements, and map them to NVIDIA libraries, identifying functional, performance, and usability gaps.
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.
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, product manager, or software engineer, with a master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields.
Experience in product management or technical program management, including defining product requirements, managing feature backlogs, coordinating cross-functional teams, and driving projects from concept through delivery.
Strong interest in accelerated computing, GPU computing, and AI software stacks, with the passion to go deep into new libraries, tools, and frameworks.
Experience working directly with external or internal customers to understand requirements, design solutions, and drive technical adoption.
Strong ability to analyze and define problems, quickly learn new technologies, and independently explore and validate solution options.
Excellent communication skills: able to explain complex technical concepts clearly to audiences with varied technical backgrounds, and able to structure documents and presentations in a concise and convincing way.
Proficiency in written and spoken English and Chinese for collaboration with global product teams and local customers.
Ways to Stand Out from the Crowd:
Track record of owning a product or feature roadmap in an AI/infrastructure software domain — including gathering market and customer insights, prioritizing trade-offs, and translating them into shipped product improvements.
Background in high-performance computing, distributed training/inference, or large-scale system performance optimization.
Contributions to open-source projects, technical blogs, or public talks in AI, ML systems, or performance optimization.
Demonstrated ability to define new problem spaces, propose end-to-end solution architectures, and influence cross-functional teams without direct authority.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
Skills Required
- 5+ years of experience in technology roles such as solution architect, systems engineer, ML engineer, or software engineer
- Master's degree or above in computer science, mathematics, electrical engineering, automation, or related fields
- Strong programming skills in Python, C, C++
- Experience working directly with customers to understand requirements and design solutions
- Excellent communication skills in English and Chinese
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
