Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Design and deploy AI applications for telecommunications networks, focusing on generative models and infrastructure improvements, while providing technical guidance and building enterprise solutions.

Create and deliver developer-focused technical content and workshops that teach CUDA and NVIDIA GPU technologies. Evaluate new CUDA features, produce tutorials and blog posts, capture developer feedback to inform product decisions, and collaborate across product, engineering, and marketing teams to drive developer adoption.

The role involves designing, developing, testing, and optimizing software for NVIDIA's SoCs, focusing on performance enhancements and addressing architectural bottlenecks. Responsibilities include competitive analysis and driving performance optimizations across software products.

The role involves deploying AI networking solutions in data centers, driving architectural decisions, troubleshooting network issues, and collaborating on customer projects for NVIDIA's technology solutions.

Lead and grow the Isaac Manipulation engineering team to deliver production-grade robotic manipulation capabilities. Define roadmap, bridge research and product, partner with OEMs and developers, leverage NVIDIA GPUs/CUDA/PyTorch and simulation for sim-to-real learned policies, and drive delivery of manipulation stacks onto physical robots.

Lead research and architectural direction for AI systems communication at scale, conducting original research, optimizing hardware-software performance, and mentoring engineers.

Design and develop scalable infrastructure for deep learning libraries, automate build/test processes, and contribute to open-source tools.

The Senior System Software Architect will design, validate, and create enterprise AI factory architectures, collaborating with various teams to optimize deployment strategies and systems performance across compute, storage, and networking infrastructures.

Design and implement high-performance communication protocols and algorithms for NVIDIA networked supercomputers and datacenters. Develop production-grade communication frameworks and applications, optimize performance and scalability, and collaborate with networking chip design teams on hardware/software co-design.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.