Performance Profiling Jobs
Browse 23 exciting jobs hiring in Performance Profiling now. Check out companies hiring such as NVIDIA, Point72, OpenAI in Atlanta, Toledo, Stockton.
Contribute to Isaac Lab as a Software Engineering Intern focused on building scalable simulation, perception-in-the-loop RL, and sim-to-real capabilities for robot learning at NVIDIA.
Point72 is hiring a Machine Learning Infrastructure Engineer to build and operate scalable GenAI infrastructure that accelerates model development and production across cloud and on-prem environments.
Evaluate and optimize real-world AI workloads on emerging hardware platforms to bridge the gap between expected and observed system performance for OpenAI’s infrastructure.
Senior GPU performance engineer role at Zoox to benchmark, profile, and optimize GPU and CPU workloads to maximize throughput and meet real-time constraints for autonomous vehicle systems.
Lead Airbnb's Infrastructure Performance strategy and build the profiling, instrumentation, and organizational practices that make performance a default property of how the company ships software.
Work on the Client Infrastructure team to improve performance, reliability, and architecture of Superhuman's desktop email client using React, TypeScript, and Electron.
Lead kernel performance work and build AI-assisted developer tooling and observability infrastructure to accelerate kernel optimization and hardware–software co-design at OpenAI.
Lead performance and scalability improvements for LLM inference by optimizing runtime components, multi-GPU execution, and open-source serving frameworks at scale.
Help build Nebula’s core platform by shipping end-to-end full-stack features that power agent workflows, observability, and interactive UIs for analysts.
Lead the architecture and delivery of Magpie’s next-generation Unity learning games, building scalable gameplay systems and ensuring WebGL performance for student-facing experiences.
Work across engine, driver, and hardware teams to profile, optimize, and validate Unreal Engine features on Intel platforms while partnering closely with Epic Games and external studios.
Lead system-level power and performance engineering for EagleEye, shaping SoC selection, profiling, and cross-stack optimizations to deliver ultra-low-latency, long-lasting AR wearables for warfighters.
Lead performance engineering for FSI-focused AI and HPC workloads at NVIDIA, optimizing parallel algorithms and GPU/CPU systems to unlock world-class performance.
Fastbreak AI is hiring an Optimization Performance Specialist to own benchmarking, performance analysis, and tooling that improves solver speed and accuracy for large-scale sports scheduling problems.
Lead development and performance optimization of high-performance communication libraries for Intel's HPC/AI runtimes targeting modern CPUs and GPUs.
Build and maintain scalable test automation and stress-testing frameworks to validate distributed AI training and inference infrastructure as our Software Development Engineer in Test.
Sandisk seeks a senior technologist to found and lead an AI Systems & Performance Lab in Milpitas, driving workload‑driven performance analysis and influencing next‑generation system and silicon direction.
A systems researcher/engineer role focused on prototyping, benchmarking, and system-level analysis of AI and data-center workloads to drive Intel's next-generation architecture and product decisions.
Lead the Core Tech team to design and implement core Unreal Engine 5 systems and tools for Subnautica 2 while contributing hands-on C++ development and cross-discipline technical direction.
Figma seeks a Technical Program Manager for AI Performance to lead cross-platform performance programs and ensure low-latency, reliable experiences for both core product and AI features.
NVIDIA seeks a seasoned Developer Relations Manager to partner with hyperscaler AI teams, provide hands-on technical enablement for NVIDIA AI software, and drive developer adoption and feedback into the product roadmap.
Contribute as a Software Engineer Intern on the ML Platform team to build scalable, reliable MLOps and training infrastructure that accelerates autonomy research and production at Woven by Toyota.
Adaptive ML is hiring a Performance Engineer (Rust) to develop high-performance, production-grade systems that power scalable RLOps for enterprise LLM deployments.
