Solution Architect, HER at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Accelerated Computing, ResearchIndustries

Requirements

Masters/Ph.D in Computer Science, Electrical Engineering, or a related field
5+ years of working experience
Programming experience and proficiency in CUDA, Python, C/C++, and familiarity with Linux developing environment
Deep understanding of accelerated computing, AI for science, Robotics, Simulation Technology, Agentic AI, physical AI and LLM ecosystem
Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs, VLA, Agentic AI and Physical AI
Ability to communicate effectively in a collaborative environment
Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities

Responsibilities

Apply experience and knowledge in areas of accelerated computing and machine learning (esp. AI4S, Robotic, Life science, LLM, VLM, VLA, GAI and agentic AI)
Conduct AI engineering via playing with software and hardware and collaborating with external researchers
Partner with internal groups to transfer technologies and innovate products
Deliver NVIDIA tools and software to researchers and developers
Present value of NVIDIA total solution to customers
Assist in building AIGC, AI4S tools with the state-of-the-art AI models and help the AI community use multiple NVIDIA SDKs or frameworks (esp. PhysicsNeMo/Modulus/CUDA-Q/Isaac/BioNeMo)
Support business development team to close deals, help customers use NVIDIA tools and softwares, bridge researchers and developers from university to NVIDIA teams

Skills

Key technologies and capabilities for this role

CUDAMachine LearningDeep LearningCPhysicsNeMoModulusCUDA-QIsaacBioNeMoGenerative AIAgentic AIAI4SRoboticsLLMVLMVLA

Questions & Answers

Common questions about this position

What qualifications and experience are required for the Solution Architect role?

A Masters/Ph.D in Computer Science, Electrical Engineering, or a related field with 5+ years of working experience is required. Candidates need programming proficiency in CUDA, Python, C/C++, familiarity with Linux, deep understanding of accelerated computing, AI for science, Robotics, and extensive knowledge of AI advancements like LLMs, VLMs, VLA, and Agentic AI.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require working from an office?

This information is not specified in the job description.

What kind of team environment or company culture can I expect at NVIDIA?

NVIDIA seeks passionate, focused, self-driven, and creative technologists who are motivated, skilled in communication and teamwork, stay organized, and prioritize achieving goals in a fast-evolving technological environment.

What experience will make my application stand out for this role?

Experience or theoretical knowledge in accelerated computing, Robotics, AI for life science, VLA, GAI, Physical AI, Isaac Sim/Lab, Omniverse, AI models for protein structure, medical imaging, gene computing, transformer/diffusion models, optimization methods, CUDA skills, Robotics, deep learning frameworks, and relevant published papers will help you stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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