Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead the strategy and evolution of NVIDIA's data platform ecosystem, managing large-scale data infrastructure programs, defining technical requirements, and ensuring effective cross-team collaboration to deliver reliable, scalable systems.

Lead invention of AI-driven ASIC development methodology, identify cross-stage bottlenecks, build scalable data pipelines, define metrics, mentor engineers, and evaluate AI/EDA research to improve predictability and cycle time.

Lead technical engagements with customers, developing AI solutions, optimizing workloads on GPUs, and collaborating cross-functionally to improve infrastructure efficiency.

NVIDIA seeks a Senior Software Engineer to enhance its AI platform using JAX, focusing on performance optimization in deep learning frameworks while collaborating with applied researchers. The role requires strong programming, system design skills, and a proven ability to develop customer-facing solutions.

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

Lead technical engagement for autonomous aerial systems in defense, integrating NVIDIA software and collaborating with industry leaders to optimize flight-ready solutions.

Design and develop real-time applications for desktop and mobile platforms, ensuring reliability and scalability. Collaborate with teams to enhance user experience and maintain code quality.

Lead efforts in developing and enhancing PTX Compiler infrastructure for Generative AI and Deep Learning applications in NVIDIA GPUs. Collaborate with architecture teams to support AI workloads and ensure high-quality code generation.

Develop AI compiler solutions, optimize GPU programming, build training pipelines, collaborate on integrating AI policies, and conduct rigorous performance benchmarking.

The Senior Full Stack Software Engineer will design and develop scalable platforms for GPU clusters, ensuring reliability, performance, and efficient incident management across AI workloads.