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The role involves integrating AI supercomputing systems into datacenters, collaborating with engineering teams, and producing documentation for processes related to datacenter integration and fit-out.

Design, implement and verify boot firmware for flagship CPU SoCs. Define and decompose functional and safety requirements, perform FMEA/DFA, validate on pre-silicon simulation, support silicon bring-up and productization, and collaborate across teams to meet safety and security standards.

Lead telecom account sales for NVIDIA datacenter GPU and networking products. Drive revenue, pipeline, forecasting, partner ecosystem development, customer evangelism, training, and market creation for AI, deep learning, digital twin, and networking solutions.

Drive architecture and RTL implementation of the next-generation PMU (RISC-V based). Collaborate with production software and power architecture teams, support silicon debug, and define micro-architecture for power features to optimize datacenter AI chip power and performance.

Lead deployment, debugging, benchmarking, and performance optimization of large-scale GPU training and inference workloads. Work with NVIDIA teams and external customers to diagnose cluster bottlenecks, improve efficiency, guide scaling strategies, and contribute to resiliency for Europe's Sovereign AI initiatives.

Develop and integrate NVIDIA Tegra automotive and embedded system software: platform bring-up, driver porting, hypervisor stack feature implementation, and system optimization. Provide deep technical assistance to customers and partners, give hardware/software co-design feedback, and debug complex system-level issues to achieve optimized designs.

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.

The role involves coordinating with global teams for manufacturing test engineering, developing testing tools, and debugging electronic products.