CUDA and GPU Engineer Jobs (2026)
CUDA Engineers are the performance backbone of modern AI, writing custom GPU kernels that make model training and inference faster and more efficient. As AI models grow larger, the ability to squeeze maximum performance from GPU hardware has become one of the most valuable and scarce skills in the industry.
Last updated: September 30, 2026
Latest CUDA Engineer Jobs
View all jobsML Runtime and Kernel Engineer - Core ML
Senior Linux Kernel & Driver Engineer – HPC/AI Fabrics
Principal ML Performance Engineer (GPU Optimization)
Unlock the apply link on every AI job
Browsing is free. Membership is $9 a year or $4.90 every three months and unlocks the apply link and the full description on every job. Cancel any time from your billing page.
- The apply link on every job, straight to the official posting
- Full job descriptions instead of the preview
- Every AI job, every day: thousands of listings from 1,000+ company career pages
- Save jobs and get daily alerts for your categories
Secure checkout by Dodo Payments·Cancel anytime from your billing page
GPU Kernels AI Task Auditor - Freelance AI Trainer Project
TPU Kernel Engineer
Sr Engineer, AI Kernel
Machine Learning Engineer, GPU Kernel and Runtime
Staff Software Engineer, SIMD Kernels
Applied AI Engineer, Kernel Performance
Software Engineer - Triton
Principal Software Engineer, Kernels
Staff Software Engineer in Test, AI Kernels
Software Engineer, Staff - SIMD Kernels
Manager, Engineering - App Engine (CUDA)
Sr Engineer, AI Kernel
Senior Software Engineer - ML Kernels & Runtime
Staff Software Engineer - ML Kernels & Runtime
Senior Software Engineer - Kernels
Sr Software Engineer - Kernels and Workloads
Software Engineer - ML Kernels & Runtime
Frequently Asked Questions
What does a CUDA engineer do?
CUDA engineers write custom GPU kernels for AI workloads, optimize model training and inference throughput, build high-performance compute libraries, and work on compiler optimizations. They bridge the gap between AI algorithms and GPU hardware. As models grow larger, CUDA engineers are critical for making training and inference cost-effective. Rust is emerging as a complementary language for high-performance inference alongside CUDA C/C++, broadening the skill set expected in these roles.
What is the salary for CUDA engineers?
CUDA engineers are among the highest-paid AI specialists, earning $180K to $350K+ at companies like NVIDIA, Meta, and AI startups. The scarcity of deep GPU programming skills drives premium compensation, with senior roles exceeding $400K+ in total comp. For context, AI Engineer total compensation averages $211K, but CUDA specialists command significant premiums above this. US-based CUDA roles carry 20-50% premiums in SF, NYC, and Seattle over national averages.
Is CUDA expertise in high demand?
Extremely high demand. AI job openings have surged 25.2% year-over-year, and GPU programming skills remain one of the scarcest specializations in the field. With AI engineer roles up 143%, the infrastructure layer that CUDA engineers operate on is critical. Workers with specialized AI skills earn 25% more than peers without them, and CUDA expertise commands an even larger premium given the limited talent pool worldwide.
AI Job Insights for CUDA Engineer Jobs
Salary Range (Yearly, USD)
$100K - $500K
Median $180K from 14 listings with salary data
Top Companies Hiring
Based on recent listings shown on this page.
Common Roles
Counts reflect recent listings, not total market size.
In-Demand Skills
Derived from tags on recent listings.
Explore More AI Job Paths
Top Cities
Explore More AI Job Categories
NVIDIA AI Jobs
Find AI job openings at NVIDIA. Work on GPU computing, CUDA, and AI hardware.
AI Infrastructure Engineer Jobs
Find AI infrastructure positions. Build the compute and platform layer powering AI systems.
Machine Learning Jobs
Find ML Engineer positions at top companies. Build and deploy production ML systems.
PyTorch Jobs
Find jobs requiring PyTorch expertise. The leading deep learning framework.