Top Tech Jobs & Startup Jobs

Lead global sales efforts to drive adoption of NVIDIA CPU solutions across OEMs, hyperscalers, cloud providers, and AI-native customers. Build and scale pipeline, execute strategic deals, enable field teams, provide pipeline visibility, and align cross-functional partners to translate CPU strategy into revenue growth.

Create developer-facing technical content for NVIDIA's AI platform: test and evaluate training/inference features, write blogs and guides, build code samples and demos, benchmark multi-GPU systems, engage the developer community, and feed product feedback to engineering and product teams.

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.

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 launch strategy and go-to-market plans for NVIDIAs Computational Engineering products. Drive messaging, positioning, and enablement assets; align sales, partners, and engineering; create content (blogs, whitepapers, webinars, demos); present product value to diverse audiences and support product adoption and growth.

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.

Define vision and operational strategy for developer marketing; build acquisition, education, community, and advocacy programs; drive presence across open-source hubs; create partner co-marketing; evolve NVIDIA Deep Learning Institute; support higher education/research; translate developer signals into product and business priorities; and hire and lead a high-performing developer marketing organization.

Lead technical and operational programs for enterprise AI partners. Define schedules, translate customer requirements, drive cross-functional execution from design to production, manage risks and post-deployment support, and coordinate global teams to integrate complex AI model stacks into customer environments.

Lead product strategy and partner engagement for open community AI models. Coordinate with model builders and internal engineering to enable inference, fine-tuning, evaluation, and go-to-market activities. Drive documentation, marketing, executive launches, feedback loops, and cross-functional collaboration. Hybrid role requiring onsite presence at least three days per week.

Architect and optimize large-scale GPU AI infrastructure: profile distributed training/inference, diagnose networking and system bottlenecks, design high-performance clusters, lead POCs, automate benchmarking, and drive technical engagements with customers and internal teams.