Full-Time

Solutions Architect

Gen AI Manufacturing

Posted on 1/7/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$148k - $287.5kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

The job is hybrid, requiring some in-office presence in Santa Clara, CA.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Sales & Solution Engineering
Required Skills
Kubernetes
Data Science
Docker

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
  • 5+ years of work-related experience in manufacturing domains - e.g. lithography, chip design, data science or software development with knowledge of parallel computing with GPUs.
  • Background working with modern application deployment practices including but not limited to Docker/Containers and Kubernetes.
  • Experience with modern Deep Learning software architecture and frameworks.
  • Strong written and oral communication skills with the ability to effectively collaborate with management and engineering.
  • Experience supporting customers/partners in technical engagements.
  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
  • Strong analytical and problem-solving skills.
Responsibilities
  • Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
  • Document what you know and teach others. This can vary from building targeted samples, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
  • Be an industry leader with vision on integrating NVIDIA technology into Manufacturing use cases with AI, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
  • Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.
  • We make heavy use of conferencing tools, but some travel is required for this role. Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.
Desired Qualifications
  • Experience applying deep learning to lithography. Experience with frameworks like Tensorflow, Pytorch, TRT, and models like Vision Transformer. LLM for code generation and verification.
  • Deep Neural Network and Machine Learning research and development experience with chip design and/or industry data.
  • Published record of thought leadership in a technical area of the manufacturing industry segment.
  • Creative generation of synthetic data for chip manufacturing, EDA analysis, inspection and metrology use cases.
  • Experience applying optimization to networking - RDMA, RoCE, GPUDirect. Network tuning and RAPIDS query optimization.

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 hardware sales, software licenses, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance applications in AI, machine learning, and computer vision. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology and innovation. The company's goal is to drive advancements in AI and computing to provide effective solutions for a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match

INACTIVE