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The role involves developing network firmware features, collaborating on design, implementing features, and debugging firmware issues.

The Senior Software Engineer will design and optimize communication libraries for GPU-based computing systems targeting deep learning and HPC, contributing to parallel programming interfaces and system software.

Drive go-to-market and enterprise software sales for NVIDIA Agentic AI with Lenovo, packaging NVIDIA assets with Lenovo solutions, co-marketing and co-selling across direct and partner channels. Build technical understanding of accelerated computing and cloud-native stacks, develop ecosystem partnerships, lead three-way sales and marketing plans, and provide thought leadership at industry and customer events.

Design, develop, and optimize core AV platform software including sensor drivers, data streaming/recording, GPGPU-accelerated processing, and vehicle interfaces. Collaborate with vendors, perform in-vehicle testing, and support large-scale data collection to deliver low-latency, high-performance autonomous vehicle software.

Drive NVIDIA's external memory ecosystem across DRAM and non-volatile flash by partnering with major memory vendors, steering vendor roadmaps, co‑innovating DRAM and packaging solutions, and co‑optimizing SoC + memory subsystem architecture. Represent NVIDIA in vendor reviews, perform competitive teardown/benchmarking analysis, and collaborate with sourcing, operations, and design teams to balance performance, power, cost, supply, and reliability.

Lead performance engineering for AV and robotics workloads: engage customers, develop parallel algorithms and GPU-optimized libraries, profile and tune GPU kernels, optimize distributed transformer communication using NCCL/NVSHMEM and interconnect strategies, and collaborate with architecture and system teams to influence next-generation hardware and software.

Define technical vision and architecture for vehicle dynamics simulation. Implement production C++ interfaces, model-selection and parameter-identification workflows, translate control commands to time-aligned motion, validate and calibrate models using measured logs and test data, set standards and release gates, mentor engineers, and collaborate across planning, controls, simulation, and product teams.

Lead integration and deployment of NVIDIA networking for hyperscale AI/HPC customers. Analyze, design, implement, and troubleshoot large-scale networks; develop PoCs; run technical meetings, debugging sessions, and workshops; partner with Sales and Product teams to define requirements and secure opportunities.

Lead integration and productization of NVIDIA DRIVE autonomous vehicle platform software. Architect platform software, tools, and filesystem customization, enable automated build/test/release workflows, and debug application-to-kernel issues on embedded hardware while coordinating cross-functional teams and engaging customers to meet production release timelines.

Design, develop, and maintain autonomous driving platform and middleware. Integrate vehicle sensors, implement sensor abstraction layers, build data recording/mining and service frameworks, optimize performance and data serialization, improve startup UX, and collaborate with hardware, algorithms, cloud, safety, and platform teams to deliver scalable, high-performance system software for AV fleets.