Side-by-Side Comparison
EY
Open AI Roles
84
Salary Range
$91K - $374K
Top Roles
AI/ML Engineer, AI Architect, AI Software Engineer, AI Product Manager
Top Skills
AzurePythonAwsLangchainOpenai
% Remote
0.0%
Experience Mix
Entry 4%, Mid 48%, Senior 49%
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
EY
0.0% remote positions
Most Roles Available
EY
84 open AI positions
Quick Verdict
For compensation, NVIDIA offers significantly higher pay, with median salary ceilings roughly 23% above EY. Both companies are actively hiring with a similar number of open AI roles (84 at EY vs 75 at NVIDIA).
Which Should You Choose?
Choose EY if you prioritize:
- more open positions (84 active AI roles)
- working with Anthropic, Azure, Openai
Choose NVIDIA if you want:
- higher compensation with median salary ceilings above the competition
- broader role variety across 9 different AI job categories
- working with Transformers, Jax, Kubernetes
Career Considerations
Beyond headline salary numbers, consider what each company offers for long-term career growth. Since both companies lean toward onsite work, consider how each company's office locations align with your living situation and career network.
Frequently Asked Questions
NVIDIA currently shows higher median salary ceilings for AI positions. EY ranges around $91K - $374K 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.
EY offers more remote opportunities at 0.0% of their AI roles. EY is at 0.0% 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.
EY focuses on AI/ML Engineer, AI Architect roles, while NVIDIA emphasizes AI/ML Engineer, AI Product Manager. Skill requirements also differ: EY prioritizes Azure, Python, Aws, 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. EY (Unknown) has 84 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 159 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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