NVIDIA is actively hiring for 10 AI and machine learning positions across AI/ML Engineer (8), MLOps Engineer (1), and Research Scientist (1) roles. Posted salary ranges span $235K - $488K, with 100% of listings disclosing compensation. The median posted ceiling sits at $287K. Positions are based in Santa Clara, CA, US, Seattle, WA, US. The most frequently requested skills across these postings are Python, PyTorch, TensorFlow, Kubernetes, JAX. Senior-level roles account for 60% of openings.
Skills & Technologies
Python (8)PyTorch (7)TensorFlow (6)Kubernetes (3)JAX (3)Docker (2)RAG (2)scikit-learn (2)Go (1)JavaScript (1)
Locations
Santa Clara, CA, US, Seattle, WA, US
Hiring by Role Category
Open Positions (10)
AI/ML Engineer
Senior Deep Learning Algorithm Engineer
AI/ML Engineer
Senior System Software Engineer, 3D Computer Vision
MLOps Engineer
Senior Solutions Architect - Data Center Infrastructure
AI/ML Engineer
Senior Software QA Test Development Engineer - Diagnostics
AI/ML Engineer
Director, System Software Engineering - Metropolis Accelerated and Inferencing Software
AI/ML Engineer
Senior System Software Engineer – Dynamo Tools
AI/ML Engineer
Technical Marketing Engineer - AI Networking
AI/ML Engineer
Distinguished Engineer, JAX
AI/ML Engineer
Senior Software Engineer, JAX
Research Scientist
Research Scientist, Robotics Research - PhD New College Grad 2026
Frequently Asked Questions
NVIDIA currently has 10 open AI positions across roles including AI/ML Engineer, MLOps Engineer, Research Scientist. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.
AI roles at NVIDIA range from $235K - $488K based on current job postings. Compensation varies by role type, seniority, and location. Senior and staff-level positions typically fall at the upper end of this range, while mid-level roles cluster near the median. These figures reflect posted salary ranges and may not include equity, bonuses, or signing packages.
The most frequently requested skills in NVIDIA's AI job postings are Python, PyTorch, TensorFlow, Kubernetes, JAX, Docker. Python appears in the majority of listings, reflecting its dominance in the ML ecosystem. Candidates with experience in multiple skills from this list are more competitive, as most roles require a combination of programming, framework, and domain expertise.
NVIDIA's AI positions are based in Santa Clara, CA, US, Seattle, WA, US. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.
Related Resources
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