NVIDIA Logo

NVIDIA

Solutions Architect - Full Stack AI

Reposted 3 Days Ago
Be an Early Applicant
In-Office or Remote
3 Locations
184K-357K Annually
Senior level
In-Office or Remote
3 Locations
184K-357K Annually
Senior level
Assist customers in solutions architecture with AI technology by building custom demos and proofs-of-concept, collaborating with OEM partners, and providing technical expertise.
The summary above was generated by AI

NVIDIA is seeking outstanding Solutions Architects to assist and support customers who 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 Computing 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 and work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models. You should be comfortable working in a multifaceted environment and have experience with Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA!
 

What You Will Be Doing:

  • Collaborate with NVIDIAs OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and address business needs.

  • Building custom product demonstrations and POCs for solutions that address the critical business needs of our customers

  • Training channel technologists on joint AI solution offerings from NVIDIA and OEM partners.

  • Work as a key member of our OEM team as a technical authority on NVIDIA products

  • 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 proven experience as a solution architect or technical presales role

  • Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions

  • Expert knowledge of theory and practice of AI workloads and HW deployments

  • Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts

  • Desire to be involved in multiple diverse and creative projects

Ways To Stand Out From The Crowd:

  • Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM

  • Experience with large-scale cluster bring-up and operation.

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

  • Familiarity with parallel programming and distributed computing platforms

  • Experience building large-scale HW solutions for Enterprise computing workloads

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 people in the world working for us. If you are creative and autonomous, we want to hear from you!

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 19, 2025.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

Arm Architectures
C/C++
Deep Learning
Generative Ai
Gpu Technologies
Intel X86
Large Language Models
Networking
Nvidia Nemo Framework
Nvidia Nim
Nvidia Triton Inference Server
Storage
Tensorrt

Similar Jobs

24 Minutes Ago
Remote or Hybrid
2 Locations
205K-257K Annually
Senior level
205K-257K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves leading technology projects, optimizing distributed systems, collaborating on cloud-based solutions, and mentoring others while leveraging various technologies to enhance services.
Top Skills: AWSCassandraDockerGoKafkaNode.jsOpensearchPostgresPython
24 Minutes Ago
Remote or Hybrid
3 Locations
99K-136K Annually
Junior
99K-136K Annually
Junior
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Business Analyst on the AI/ML team at Velocity Black, you will analyze data, support model governance, and collaborate with cross-functional teams to enhance product offerings through AI and ML tools.
Top Skills: AIMlSQL
24 Minutes Ago
Remote or Hybrid
2 Locations
144K-165K Annually
Senior level
144K-165K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Collaborate on Agile teams to develop cloud-based solutions using various programming languages and technologies, mentoring others and staying current on tech trends.
Top Skills: AWSAzureDockerGCPGoJavaKubernetesNode.jsNoSQLOpen Source RdbmsPythonScalaSQL

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