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

The Senior Developer Technology Engineer will optimize GPU applications in the public sector by collaborating with developers, crafting parallel algorithms, and improving software stacks while ensuring high performance on GPUs.

Manage a team developing accelerated image and data compression libraries. Define project goals, roadmap, and scope; ensure execution and delivery; elevate engineering practices; collaborate with internal and external customers and the open-source community while fostering an inclusive, innovative environment.

This role involves researching and optimizing applications for NVIDIA's computing platform, collaborating with customers and internal teams to enhance performance and design next-generation software and hardware.

Design, develop, and optimize system software and firmware for SoC-based O-RAN infrastructure. Implement power-management policies (DVFS, clock/power gating, thermal control), analyze RU/DU workloads, build performance and power models, create measurement and test tooling, validate on simulation/emulation and silicon, and influence SoC and platform architectures for 5G/6G deployments.

Lead product definition, execution, and go-to-market for AI physics models, libraries, and frameworks. Collaborate with engineering, developer relations, marketing, and sales; present to internal and external audiences; prioritize projects; translate technical capabilities into developer and customer value.

Design, build, and deploy end-to-end AI-powered media and broadcasting solutions using NVIDIA's AI/media stack. Act as a hands-on technical advisor in pre/post-sales, create POCs and reference architectures, optimize performance and TCO, and collaborate with customers and internal teams to scale solutions and provide technical collateral.

Develop and optimize GPU-accelerated algorithms for quantum circuit simulations, collaborating with various teams, and leading technical efforts.

Design, implement, and optimize scalable high-performance dense linear algebra kernels for GPUs. Provide technical leadership, collaborate with product and partners, improve performance and quality, and contribute to library roadmaps and development practices.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

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.