AI Senior??Performance Engineer??

Role: AI Senior Performance Engineer NVIDIA Triton is must - Dont submit profile
without this skill
Location: Remote
6-12%2B Months Contract

Job Description:
We are seeking a specialized AI Performance Engineer (Consultant) to drive GPU acceleration,
CUDA optimization, and distributed AI workload performance for VisionAI.
This is a hands-on performance engineering role focused on optimizing deep learning inference,
GPU/CPU utilization, distributed orchestration, and capacity planning across city-scale AI
deployments.
Required Qualifications
5%2B years in AI/ML performance engineering, HPC, or large-scale inference systems
BS or similar background in Computer Science or related area (or equivalent
experience)
Strong understanding and hands-on modern ML techniques and tools
Strong hands-on CUDA programming and optimization experience
Deep understanding of GPU architecture and memory hierarchy
Experience optimizing PyTorch and/or TensorFlow inference
Hands-on experience with NVIDIA Triton, Apache Ray, and Kubernetes GPU scheduling
Experience with RAPIDS and GPU-accelerated data pipelines
Experience in benchmarking methodologies, performance analysis/profiling (e.g.
Nsight), performance monitoring tools
Strong track record of optimizing large-scale AI systems
Nice to Have
Neural network architecture optimization experience
Deep TensorRT optimization expertise
Video analytics or real-time inference systems experience
Experience operating large-scale GPU clusters Experience with WebAssembly (WASM)
for performance-critical frontend computation.
Advanced Linux OS, container (e.g. Docker) and GitHub skills.