Senior Quantum AI Research Scientist, Applied Research
Nvidia
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How this pay compares to similar roles
This role pays more than 54% of similar roles. Most pay $182,875–$248,721 — the shaded band above. At the midpoint, this role pays about $213k versus about $216k for comparable roles.
Based on 240 similar postings.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
Product Manager, AI for Quantum joins the team to drive the AI for Quantum strategy and platform at the intersection of artificial intelligence and quantum research. The role involves defining product strategies, roadmaps, and go-to-market plans while collaborating with research and engineering teams to build essential AI models, tools, APIs, libraries, and workflows. You will engage with hardware partners and institutions to identify applications in system design, control, calibration, characterization, error correction, and algorithm development. The position requires expertise in machine learning, accelerated computing, and the quantum ecosystem, specifically involving GPUs, CUDA, and CUDA Libraries. Candidates must possess a master's degree or PhD in a technical field like Physics or Computer Science. You will also evangelize the platform through whitepapers and presentations while identifying opportunities across AI, HPC, and quantum technologies to solve complex scientific problems.
What does a Product Manager earn in Remote?
Median $207754 from 108 postings across 33 companies.
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