NVIDIA · 13 hours ago
Architect, AI Solutions Engineering
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$224K/yr - $356K/yr
12+ years expNVIDIA is a leader in transforming computer graphics and AI technology, seeking an AI Architect to join its AI Tools Team. This role focuses on architecting and enabling internal AI platforms and solutions, collaborating with various teams to meet infrastructure needs and enhance productivity.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Architect, build and enable internal AI platforms and solutions to be used by thousands of NVIDIANs worldwide
Spot opportunities where AI is the best tool: uncover gaps, and recommend AI-first approaches over conventional solutions—grounded in hands-on evaluation of modern AI-native tools
Set the north star with cross-functional teams: align on end-to-end AI system outcomes and translate them into clear, measurable objectives
Introduce technologies enabling massively parallel systems to improve turnaround time by an order of magnitude
Lead through influence: Drive, motivate, convince, and mentor sub-system owners to achieve improvements with agility, speed, and high engineering standards
Optimize for performance and cost: identify bottlenecks across training, evaluation, and testing workflows and improve throughput, latency, and efficiency
Collaborate with AI product vendors to gain deep insights of the AI industry, and share them with leaders and developers internally
Qualification
Required
MS/PhD in AI/CS (or equivalent experience) with 12+ years building systems software, including 2+ years building/exploring AI solutions
Hands-on experience with LLMs, RAG, fine-tuning, and agentic/workflow orchestration
Strong “AI-first” approach and proficiency with modern AI-native developer ecosystems and tooling
Validated experience deploying to hybrid, multi-cloud environments (and ideally edge)
Track record architecting and shipping large-scale distributed systems in production
Proven ability to find system bottlenecks and deliver measurable performance/cost improvements
Strong programming skills in Java and Python; validated understanding of distributed systems concepts and REST APIs
Expertise with containerization and virtualization (Docker, VMs); Kubernetes experience is a plus
Solid understanding of cloud/platform and data infrastructure tools such as OpenStack, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, LXC, Git/Perforce, JFrog, Kafka
Excellent multi-functional influence skills—able to drive alignment across org boundaries in a global, multi-time-zone environment
Preferred
Depth in AI, Machine Learning and Deep Learning algorithms and techniques
Strong collaborative and interpersonal skills, with a proven record of guiding and influencing others in dynamic environments
Industry thought leader in AI, influenced AI ecosystem to deliver forward looking solutions
Background in designing high-performance, scalable software systems with a strong focus on hardware cost optimization
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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