NVIDIA Logo

NVIDIA

Senior Solutions Architect, Generative AI Data Processing

Reposted 5 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Santa Clara, CA
184K-288K Annually
Senior level
In-Office or Remote
Hiring Remotely in Santa Clara, CA
184K-288K Annually
Senior level
The role involves advising customers on AI solutions, collaborating on projects, and implementing scalable systems for data processing with a focus on generative AI.
The summary above was generated by AI

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Data Analytics and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

You will become a trusted technical advisor with our customers, work on exciting projects and deploy AI solutions in production using Data Processing for Generative AI. You will also collaborate with a diverse set of internal teams on innovative AI optimization techniques, operating at the intersection of algorithms and systems. You should be comfortable working in a dynamic environment, and have experience with Deep Learning, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

What You Will Be Doing:

  • Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions

  • Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas

  • Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform

  • Working closely with customers to help them adopt and build creative solutions using NVIDIA technology

  • Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases

  • Some travel to conferences and customers may be required

What We Need To See:

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

  • 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics

  • Strong fundamentals in programming, optimizations, and software design, especially in Python

  • Strong problem-solving and debugging skills

  • Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments

  • Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd:

  • Prior experience with AI at scale on cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure

  • Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NeMo Retriever, cuVS, RAPIDS

  • Expertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooks

  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

  • Familiarity with parallel programming and distributed computing platforms

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Docker
Helm Charts
Jupyter Notebooks
Kubernetes
Nvidia Gpus
Nvidia Nemo Framework
Python

Similar Jobs

24 Minutes Ago
Remote or Hybrid
8 Locations
168K-297K Annually
Senior level
168K-297K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Product Manager will oversee the Square Credit Card, focusing on expense management, cardholder value, and the economic model to create a market-leading product. Responsibilities include defining strategies, collaborating across teams, analyzing performance, and understanding customer needs.
Top Skills: QuickbooksXero
27 Minutes Ago
Remote or Hybrid
United States
109K-150K Annually
Senior level
109K-150K Annually
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Senior Threat Hunting Intelligence Analyst conducts intelligence-driven threat hunts, develops detection strategies, analyzes telemetry, collaborates with engineers, and communicates findings to enhance security posture.
Top Skills: EdrMitre Att&CkPythonSIEMSoarStix/Taxii
30 Minutes Ago
Remote or Hybrid
USA
196K-245K Annually
Expert/Leader
196K-245K Annually
Expert/Leader
Edtech • Information Technology • Software
The VP of Global Professional Services strategizes and executes a services organization, leveraging AI and analytics to drive platform adoption and customer satisfaction. Responsibilities include overseeing service offerings, financial performance, delivery excellence, and leading a global team.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account