Adaption: Develops efficient AI systems that adapt in real-time.
5+ YOE5+ years in ML systems, inference infrastructure, or performance engineering; model-serving expertise; Python and systems-language proficiency; and GPU performance experience with measurable cost or latency improvements.
Inference Performance Engineer, AI Inference Configuration Optimization
Santa Clara or United States
$124k-$242k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
3+ YOEBachelor's, master's, or doctoral degree in a related field or equivalent experience; 3+ years' engineering experience; GPU profiling, Python, C++/CUDA, and AI inference optimization expertise required.
Machine Learning Performance Engineer - Offboard Training & Inference
Sunnyvale or Washington, D.C. or San Diego or Fort Walton Beach or Ann Arbor or London or Stuttgart or Munich or Stockholm or Bangalore or Seoul or Tokyo
$215k-$285k/yrOnsiteFull Time
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
ML performance engineering experience with distributed training, batch inference, GPU or accelerator optimization, Python, and C++ or another systems language; strong debugging and analytical skills required.
Modular: Unified software infrastructure and programming language for AI development.
5+ YOE5+ years in distributed systems or performance engineering; experience building reusable tooling; strong technical judgment, communication, and leadership; GPU/kernel, inference engine, Kubernetes, and LLM familiarity helpful.
DigitalOceanNew York Stock Exchange: DOCN: Simplifies cloud infrastructure for developers, startups, and SMBs.
5+ YOE5+ years in high-performance computing or AI infrastructure, deep GPU and low-level optimization expertise, experience with CUDA/Triton/ROCm, distributed GPU parallelization, and system design for inference workloads.
TypeSafe AI: Building reliable, general frontier AI models for automation.
Deep CUDA/GPU kernel expertise, experience building and optimizing training and inference kernels, LLM training experience, profiling and eliminating performance bottlenecks.
ByteDance: Developing AI-driven content platforms and mobile applications.
Bachelor's or master's degree in a technical discipline; proficient in C/C++, Python, CUDA, GPU architecture, deep learning operators, inference compilation, performance analysis, and distributed model inference.
RadixArk: Building scalable open-source infrastructure for AI training and inference.
Strong systems engineering in performance-critical software; GPU/distributed systems; profiling tools; Python and C++; CUDA/Triton/ROCm/XLA familiarity; LLM inference concepts; ability to debug across software, hardware, and infra layers; strong communication.
IntelNasdaq: INTC: Designs and manufactures microprocessors and semiconductor components.
8+ YOE8+ years software development; strong C++ and/or Python; experience with LLM inference, profiling and optimizing CPU/GPU performance; Linux and low-level debugging expertise.
Engram: Developing persistent memory layers for enterprise AI systems.
5+ YOE5+ years building training/inference systems; strong engineering skills; experience with ML frameworks, GPUs, distributed systems; bachelor's degree or equivalent experience.
Radical Numerics: Building general biological intelligence models for scientific discovery.
Deep expertise in large-model inference, GPU performance engineering, kernel development (CUDA/Triton), Python and PyTorch, distributed systems, and production model deployment.
Hiring.Cafe: An AI-powered job search engine and aggregator.
Experience deploying and optimizing deep learning models in production, multi-GPU inference, profiling/benchmarking model performance, inference optimization techniques, and cloud/distributed systems familiarity.
8+ YOEBachelor's degree or equivalent experience, 8 years of software development, Python and C++, AI inference optimization expertise, and experience with serving codebases and performance tradeoffs.