Top Tech Jobs & Startup Jobs

The role involves designing, developing, and delivering core components of VLSI productivity platforms, translating high-level requirements into actionable tasks, building scalable systems, and modernizing legacy codebases. Collaboration with engineering teams to improve efficiency is key.

The Senior Board Test Engineer at NVIDIA will develop manufacturing GPU/CPU test solutions, create test strategies for new product features, support test content development, and introduce new test methodologies to enhance production efficiency while collaborating with various teams.

The Principal Systems Software Engineer will lead the design and implementation of accelerated Apache Spark and big-data frameworks, develop libraries for data analytics and machine learning, engage with open source communities, and collaborate with partners to deploy advanced solutions. They must have extensive experience with key big data projects and strong programming skills in C++, Java, and Scala.

The role involves developing optimized GPU algorithms for data analytics and ML, architecting distributed GPU algorithms for single and multi-node environments, benchmarking solutions, and collaborating with teams to improve integrations with RAPIDS and other high-level frameworks.

As a Senior Photonic Device Designer at NVIDIA, you will develop integrated photonic devices, conduct chip layout design, evaluate and characterize circuits, and perform experiments. You will also respond to customer requests and implement measurement methodologies for device testing, all while working with cutting-edge technology in a collaborative team environment.

The Principal Engineer in AIOps will design, develop, and deploy AI-powered solutions for IT operations, working closely with engineers and data scientists. Responsibilities include applying AI techniques like machine learning and natural language processing to enhance IT infrastructure, leading product design and development, integrating AIOps tools, and ensuring customer satisfaction through effective collaboration.

The Product Manager for CUDA-Q Libraries at NVIDIA will define product strategies and roadmaps for quantum computing software, collaborate with engineering teams, and engage with customers to improve products while promoting the company's accelerated computing platform.