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Website: nvidia.com
Nvidia Corporation is an American multinational technology company headquartered in Santa Clara, California. The company develops graphics processing units (GPUs), systems on chips (SoCs), and application programming interfaces (APIs) for data science, high-performance computing, artificial intelligence (AI), and mobile and automotive applications. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, Nvidia has been widely described as a Big Tech company.
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Nvidia is hiring a High Performance AI Engineer across 6 Locations for a full-time opportunity to strengthen advanced artificial intelligence systems. This High Performance AI Engineer position focuses on building efficient, scalable AI capabilities that deliver measurable speed and reliability gains. What This Role Involves In the High Performance AI Engineer role at Nvidia you will concentrate on elevating the computational efficiency of modern artificial intelligence workloads. Day-to-day work centers on transforming experimental models into robust, production-ready systems capable of handling substantial data volumes with reduced latency. You will examine every layer of the AI stack—from kernels and memory access patterns to framework-level scheduling—to identify and remove bottlenecks that limit overall throughput. Collaboration with algorithm specialists, infrastructure teams, and product groups ensures that performance improvements remain aligned with real application needs. Continuous evaluation of new techniques in parallel computing and accelerator programming keeps the solutions you deliver competitive. The position in 6 Locations rewards deep technical curiosity paired with a practical mindset that turns insight into shipped code. Responsibilities Architect and implement performance-critical modules for AI training and inference pipelines used by teams at Nvidia. Profile large-scale models, isolate bottlenecks in compute, memory, or communication, and introduce targeted optimizations. Develop reusable kernels, libraries, and automation scripts that accelerate repeated high-performance AI workloads. Partner with research and platform engineers to validate that gains remain stable under production load and across multiple configurations. Benchmark candidate solutions against industry baselines and document clear trade-offs in speed, accuracy, and resource use. Contribute design reviews and technical mentoring that raise collective expertise in high-performance artificial intelligence practices. What We're Looking For Proven expertise with parallel programming models, low-level performance analysis, and modern AI frameworks. Strong fluency in C++ and Python together with experience applying optimization toolchains and profilers. Solid grasp of machine-learning algorithms and the hardware-level factors that govern their execution cost. Demonstrated ability to diagnose complex system behavior and convert findings into measurable speed-ups. Bachelor’s or higher degree in computer science, electrical engineering, or an equivalent technical discipline plus relevant industry experience building AI systems. Clear communication skills that enable cross-team collaboration on High…
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