Side-by-Side Comparison
Capital One
Open AI Roles
109
Salary Range
Not disclosed
Top Roles
AI/ML Engineer, Data Scientist, AI Product Manager, AI Software Engineer
Top Skills
AwsPythonRevealAzureGcp
% Remote
11.0%
Experience Mix
Entry 9%, Mid 61%, Senior 30%
Company Stage
Unknown
NVIDIA
Open AI Roles
75
Salary Range
$108K - $431K
Top Roles
AI/ML Engineer, AI Product Manager, Research Engineer, AI Software Engineer
Top Skills
PythonPytorchKubernetesJaxRag
% Remote
0.0%
Experience Mix
Mid 25%, Senior 75%
Company Stage
Unknown
Who Wins?
Best for Salary
NVIDIA
Median ceiling ~$287K
Best for Remote
Capital One
11.0% remote positions
Most Roles Available
Capital One
109 open AI positions
Quick Verdict
Both companies are actively hiring with a similar number of open AI roles (109 at Capital One vs 75 at NVIDIA).
Which Should You Choose?
Choose Capital One if you prioritize:
- more remote flexibility (11.0% remote positions)
- more open positions (109 active AI roles)
- working with Golang, Azure, Hugging Face
Choose NVIDIA if you want:
- broader role variety across 9 different AI job categories
- working with Rag, Transformers, Jax
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Remote work flexibility also affects quality of life and total compensation when you factor in commute costs and geographic salary adjustments.
Frequently Asked Questions
NVIDIA currently shows higher median salary ceilings for AI positions. Capital One ranges around Not disclosed while NVIDIA ranges around $108K - $431K. Keep in mind that posted salary ranges reflect base compensation and often exclude equity, signing bonuses, and annual performance bonuses that can add 10-30% to total compensation. Actual offers also depend on specific role, seniority level, location, and negotiation. Check individual job listings for the most current figures.
Capital One offers more remote opportunities at 11.0% of their AI roles. Capital One is at 11.0% remote while NVIDIA is at 0.0% remote. Remote availability can shift quickly as companies adjust return-to-office policies. Some roles listed as hybrid may allow mostly remote work in practice. If remote work is a priority, filter by the remote tag on individual company pages and pay attention to whether the listing specifies a geographic requirement.
Capital One focuses on AI/ML Engineer, Data Scientist roles, while NVIDIA emphasizes AI/ML Engineer, AI Product Manager. Skill requirements also differ: Capital One prioritizes Aws, Python, Reveal, while NVIDIA looks for Python, Pytorch, Kubernetes. These differences often reflect each company's core AI products and business model. The tech stack you work with early in your career shapes your trajectory, so consider which skill set aligns with your long-term goals.
Career growth depends on company stage, team size, and role scope. Capital One (Unknown) has 109 open AI roles, while NVIDIA (Unknown) has 75. Companies with more open roles often provide faster internal mobility and broader project exposure. Look at the experience mix breakdown above to gauge whether each company is primarily hiring senior talent or building entry-level pipelines, as this signals different mentorship and advancement cultures.
Data Source: Analysis based on 184 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of October 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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