Solution Architect, RTX Pro GPU at NVIDIA

Beijing, China

NVIDIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, Graphics, ComputingIndustries

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent program
  • 5+ years of experience
  • Demonstrated background working with NVIDIA GPU technology, encompassing Graphics, CUDA, frameworks, and SDKs
  • Proficient knowledge in handling graphics and computational tasks on NVIDIA GPUs
  • Outstanding communication skills, adept at expressing thoughts in English verbally and in writing
  • Demonstrated ability to work effectively in a team setting, contributing to project success
  • Experience interacting with customers while comprehending and attending to their requirements
  • Familiarity with infrastructure skills such as Kubernetes (k8s) and a deep understanding of public cloud techniques (plus)

Responsibilities

  • Developing and implementing GPU solutions that cater to both graphics and computing workloads using NVIDIA’s innovative technology
  • Engaging directly with customers to understand their requirements and provide flawless solutions, ensuring their success with NVIDIA products
  • Working closely with internal teams to identify and effectively implement GPU solutions that align with our rigorous quality standards
  • Applying expertise with NVIDIA GPUs, including CUDA, frameworks, and SDKs, to achieve world-class performance and reliability
  • Leading and participating in customer projects, encouraging a collaborative and inclusive environment to achieve shared objectives

Skills

NVIDIA GPUs
CUDA
RTX Pro GPU
GPU solutions
graphics workloads
computing workloads
SDKs
Computer Science
Engineering

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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