Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Senior Product Manager will lead strategic go-to-market plans for NVIDIA's CUDA-X libraries, collaborating across teams to drive execution and growth in scientific computing markets.

The role involves analyzing deep learning networks, optimizing compiler algorithms, and collaborating across teams to enhance deep learning software performance and usability.

The Senior Manager, Datacenter Software - Firmware Release will lead the release management of software and firmware for NVIDIA's datacenter products, ensuring high quality, scalability, and security across multiple environments while collaborating with cross-functional teams.

The role involves optimizing GPU performance for neural reconstruction workflows, analyzing bottlenecks, and collaborating with engineers to enhance training and rendering systems.

The Senior Software Engineer will work on optimizing open-source LLM inference, enhancing performance on NVIDIA GPUs, and collaborating on production-ready 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.

Lead development and deployment of scalable ML, prescriptive analytics, and constrained-optimization models for real-time routing, scheduling, capacity allocation, and personalization in cloud gaming. Build data ingestion and processing frameworks, improve data quality, analyze patterns with supervised/unsupervised methods, and collaborate cross-functionally to deliver prescriptive pipelines and actionable recommendations that optimize latency, utilization, and retention.

Lead architecture and implementation of scalable, distributed NGC Cloud services. Provide technical leadership across the platform, drive operational excellence for secrets and artifact management, influence architecture and technical direction, and enable teams to deliver secure, scalable cloud solutions at global scale.

Architect and demonstrate simulation workflows using DSX Sim and Omniverse libraries to help partners and customers build, validate, optimize, and operationalize AI factory digital twins. Drive integration of Omniverse libraries, develop reference architectures, prototypes, benchmarks, and sample workflows, and coordinate with sales, product engineering, and partners to resolve blockers and advance adoption.

Own design, automation, and lifecycle of Kubernetes platform for global network infrastructure. Build production-quality tooling for cluster provisioning, upgrades, GitOps delivery, observability, and recovery. Provide production support and incident response for network services on the platform, drive root-cause analysis, and establish platform standards and runbooks.