Kubernetes and Pytorch frequently appear together in AI job postings, with 303 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $224K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and Pytorch appear together in 303 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring Kubernetes + Pytorch
AI/ML Engineer222 jobs
AI Software Engineer28 jobs
Data Scientist14 jobs
MLOps Engineer13 jobs
AI Architect10 jobs
AI Product Manager4 jobs
Career Impact
Professionals who combine Kubernetes and Pytorch earn a median salary ceiling of
$224K, compared to $243K for Kubernetes alone and
$222K for Pytorch alone. This 4% discount
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Based on our analysis of current AI job postings, 303 positions require both Kubernetes and Pytorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and Pytorch pay an average of $147K to $224K based on 204 postings with disclosed compensation.
Jobs requiring both Kubernetes and Pytorch pay $224K on average (max), compared to $243K for Kubernetes alone and $222K for Pytorch alone. That represents a 4% discount for having both skills.
The most common roles requiring both Kubernetes and Pytorch are: AI/ML Engineer, AI Software Engineer, Data Scientist, MLOps Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 26,159 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Methodology
Skill co-occurrence data is derived from 303 job postings that list both Kubernetes and Pytorch
as required or preferred skills. Salary data includes only postings with disclosed compensation ranges.
Data is updated weekly from major job boards and company career pages.