Jobs
Benefits & Perks
•Equity
•Equity
Required Skills
Data Science
Machine Learning
Deep Learning
GPU Computing
Python
About the Role
We are looking for a Solutions Architect to engage with customers, partners, and other NVIDIA software engineers to develop Energy specific applications and platforms that use NVIDIA technology that will be adopted across all segments of the Energy industry including Oil and Gas, Renewables, and Power Utilities. At NVIDIA, our Solutions Architects are drawn from best-in-class developers and scientists who enjoy working with the latest in GPU and Networking hardware and software!
NVIDIA's platforms for artificial intelligence, neural networks, and high-performance computing have impacted the energy domain significantly. These platforms are widely used by leading energy companies and start-ups. Our success has been based on vertical industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including HW OEMs, Cloud Service Providers, Global System Integrators, and VARs.
We need a passionate, hardworking, and creative individual to help us pursue more of these opportunities in HPC, NLP, Machine Learning, Deep Learning, and Generative AI! This role requires becoming a trusted technical advisor and leader to clients and collaborators. They believe deep learning, data science, and artificial intelligence are a new computing revolution. These technologies have the potential to transform the energy domain.
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 mentor 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 AI, HPC, and enterprise GPU and networking architectures for sophisticated applications both in the datacenter and at the edge
- Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform
- Make heavy use of conferencing tools, with some travel 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
Qualifications
- MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience
- 8+ years of work-related experience in 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 efficiently collaborate with management and engineering
- Experience within the energy industry or with customers/partners in the energy domain
- Deep Neural Network and Machine Learning research and development experience with energy data
- Published record of thought leadership in a technical area or industry segment
- Strong analytical, time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into sophisticated projects
Ways to Stand Out
- Experience using data science in the energy industry
- Creative generation of synthetic data
- Experience using GPGPU programming and design practices
- CUDA programming and optimization experience
- Experience with network software development
About NVIDIA
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago