Performance Profiling Jobs
Browse 22 exciting jobs hiring in Performance Profiling now. Check out companies hiring such as Lumbra, Magpie Literacy, Intel in New York, Chandler, Winston-Salem.
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.
Work at the kernel layer to design, profile, and ship custom CUDA/ROCm kernels that maximize performance across NVIDIA and AMD GPUs for inference and training workloads.
Work as an Inference Engine Engineer at FriendliAI to design high-performance GPU kernels and core runtime components that power latency-critical, production-scale generative AI systems.
NVIDIA seeks a Senior Developer Technology Engineer to accelerate high-performance databases and ETL workloads using GPU-aware algorithms, memory management, and low-level performance optimization.
NVIDIA seeks a Senior Software Developer, AI Networking to benchmark, profile, and optimize distributed LLM workloads across GPUs, CPUs, and high-performance networking stacks.
Canva is hiring a Staff Software Engineer to own end-to-end video performance strategy and optimization across Web, iOS, and Android native engines.
Work as a senior distributed systems engineer/architect at a Series A cybersecurity company to design and optimize high-throughput, resource-efficient compute pipelines and instrumentation.
Work with NVIDIA customers and internal teams to analyze, optimize, and accelerate complex workloads on CPU/GPU platforms while influencing next-generation hardware and software design.
