Summary written by USA Jobs 24 from NVIDIA's advert and our data on 16,911 current US jobs. How we check every job
At a glance
NVIDIA is hiring a Solutions Architect – OEM AI in Santa Clara, CA. It is a full-time fully remote role in Data, AI & Analytics, asking for at least 25 years of experience, first listed on November 10. The description mentions SIEM, Deep learning, Cybersecurity, Machine learning, Statistics and Python. NVIDIA has 149 other openings in the US, 126 of them in Santa Clara, CA. Across all employers on USA Jobs 24 there are 78 Data & AI openings in Santa Clara, CA today; the typical one asks for 8 years and advertises about $213,000 a year at the midpoint.
SIEMDeep learningCybersecurityMachine learningStatisticsPythonC++Linux
How the pay compares
NVIDIA has not published pay for this job, or we could not find it in the advert. Of the 819 data & AI jobs in California on USA Jobs 24, 74% show pay, and the typical yearly midpoint among them is $227,000. That gives you a fair starting point when the subject comes up. California has a pay transparency law that requires most employers to give a pay range for jobs there, so it is reasonable to ask the recruiter for it.
Skills in this advert
How often each skill named in this advert appears across the 1,797 data & AI jobs we list today. Python is the most widely requested (45% of jobs), while SIEM is the least common (2%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on NVIDIA's Workday site on November 10 and checked it again November 10, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check where you can work from. This job is listed as remote. Many US employers can only hire remote staff in states where they run payroll, so look for a list of states in the advert below.
- Match the experience. The advert asks for at least 25 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as SIEM, Deep learning and Cybersecurity, wherever they are true for you. Our resume guide shows how.
- Apply only through NVIDIA's own site. Our Apply button goes straight to NVIDIA's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at NVIDIA
NVIDIA has 150 openings on USA Jobs 24 today across 8 states. Most are in software & IT (78), data & AI (47) and hardware & chips (10). The biggest locations are Santa Clara, CA (127), Austin, TX (28) and Durham, NC (15). 49% of them are remote, 8% are open to entry-level candidates and none shows pay. We collect NVIDIA's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is NVIDIA's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from NVIDIAHide the advert674 words
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Want to be part of the team that empowers NVIDIA's OEM technical counterparts to develop accelerated compute and AI solutions for their customers? We are looking for a hardworking and self-starting Solutions Architect with a passion for accelerated compute, data workflows and AI security to join our Solutions Architecture and Engineering team. This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.
As a Solutions Architect in Accelerated Compute Data & Security passionate about high-performance computing, you will focus on integrating NVIDIA’s software and tools with our OEM partners’ offerings. This may involve working with platforms like Splunk, Cisco's AI threat protection and other AI Data Pipeline solutions. Your efforts will center on driving adoption, building proof-of-concept technologies, and aligning our technical messaging with our OEMs' broader product strategies.
What you'll be doing:
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
What we need to see:
BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).
5+ years of experience in roles focused on technology, including Solutions Architecture, Data Science, or AI Research.
Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, specifically applied to loosely-structured data and security logs.
Strong coding, debugging, and pipeline development skills using Python, C/C++, Bash, and Linux utilities.
Hands-on experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments.
Exceptional communication and presentation skills, with an ability to distill complex technical topics into clear, understandable content for an engaged audience.
Strong analytical and problem-solving skills, along with an ability to multitask efficiently in a dynamic environment.
Ways to stand out from the crowd:
Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.
Demonstrated expertise integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems.
Experience working in a technical leadership role or principal investigator capacity on large-scale or secure enterprise projects.
Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies.
Public speaking experience at industry conferences or large technical events.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 13, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.USA Jobs 24 copied this listing from NVIDIA's official careers site on November 10, 2026 and checked it again November 10, 5:17 AM ET. NVIDIA will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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