Top Tech Jobs & Startup Jobs

The role involves driving go-to-market strategies for NVIDIA's quantum computing products, creating technical marketing content, and engaging with teams and communities to promote innovative technologies.

As a Principal Software Engineer, you'll develop software systems for NVIDIA's rack-scale infrastructure, defining software architecture, collaborating across teams, mentoring engineers, and ensuring high-quality technical decisions in complex environments.

The Senior Silicon Product Development Engineer will develop ATE test content, improve GPU manufacturing yields, manage vendor relationships, and collaborate on chip quality levels.

Develop algorithms for RTL synthesis and digital logic optimization, utilizing machine learning and EDA techniques. Collaborate with design teams to implement solutions.

The role involves developing AI models for autonomous vehicles, focusing on LLMs and VLMs, and ensuring seamless deployment and integration in production environments.

Provide pre-sales technical support and solutions architecture for NVIDIA networking (Spectrum-X) in AI/HPC deployments. Develop proofs-of-concept, debug complex firmware and networking issues, collaborate with customers and R&D, and help define product requirements and features.

Lead research and prototype novel real-time path tracing, sampling, lighting, and denoising methods; implement prototypes, publish, transfer ideas to product teams, and mentor researchers and interns.

Lead product strategy, roadmap, and go-to-market for NVIDIA enterprise game development solutions. Partner with engineering, ISVs, OEMs, and sales to integrate RTX, generative AI, and developer workflows into studio pipelines. Drive positioning, demos, trade-show strategy, sales enablement, and lighthouse case studies to grow adoption among game developers and publishers.

The Engineering Manager leads a team developing hardware build infrastructures, they architect systems, manage projects, and improve engineering efficiency across organizations.

The role involves designing GPU memory systems, developing performance models using AI, and optimizing architecture based on analyses of benchmarks and workloads, while collaborating with engineering teams.