Design and develop SOC drivers and automation tools, support OS drivers, collaborate with OEMs, and model architecture for production systems.

The role involves researching and developing algorithms for deep learning efficiency, collaborating on hardware, running experiments, and publishing findings.

Develop and maintain end-to-end deployment workflows for Warp-based robotics on embedded platforms (e.g., Jetson). Optimize on-device performance, debug across Python/C++/CUDA/ drivers, integrate with ROS 2/Isaac stacks, and build testing and CI/packaging infrastructure for embedded targets.

Lead cross-functional programs to enable DGX Cloud capacity bring-up and operations with CSPs and NVIDIA Cloud Providers. Define requirements for compute, storage, networking and GPUs; manage roadmaps, KPIs, risk mitigation, and engineering deliverables using program management tools to ensure scalable AI infrastructure.

NVIDIA seeks a Senior Systems Software Engineer to develop and maintain foundational software, enhance platform reliability, and collaborate across teams to improve workload execution and diagnostics.

The role involves developing and optimizing AI infrastructure for large-scale training and inference, ensuring system reliability and efficiency through software engineering practices.

The Solutions Architect will lead deployment of NVIDIA data center GPUs, drive partnerships, analyze performance data, and communicate with stakeholders.

Design and implement compiler optimization algorithms for deep learning inference, collaborate with framework and GPU architecture teams, define public APIs, and deliver high-performance AOT and JIT compilation with reduced memory and fast build times.

The role involves defining SoC architecture for low-power platforms, driving PPA trade-off analysis, and collaborating with CPU, GPU, and memory teams. Responsibilities also include engaging with customers and translating their requirements into architectural constraints.

Develop advanced 3D world models by merging map and perception data to enhance autonomous vehicle navigation and safety.

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

The Principal Technical Program Manager leads end-to-end networking release readiness across ConnectX and BlueField products, ensuring alignment and organization of complex, multi-stakeholder release programs while developing actionable insights and frameworks for program execution.

Design and develop software solutions for data center servers, focusing on Linux kernel modifications, device drivers, and system optimizations while directly collaborating with Cloud Service Providers.

The role involves defining architecture for NVLink Fusion, collaborating with customers, mentoring teams, and managing software abstraction layers.

The engineer will develop NIC firmware features, create verification tests, and deepen their understanding of systems and networking. They will collaborate with various software teams and learn about software project operation and hardware and firmware development.

The role focuses on developing technologies for Fault-Tolerant Quantum Computing, technical innovations, and collaboration across teams to enhance quantum software and hardware integration.

The Senior Software Engineer will design, develop, and support innovative networking solutions, collaborating with cross-functional teams and customers to drive product success.

Design, develop, test, and optimize software for NVIDIA's ARM SoCs, focusing on performance, efficiency, and competitive analysis.

The Principal System Architect will lead the architecture of high-volume GPU products, ensuring performance and scalability, and mentoring junior engineers.

Develop and implement compiler optimization algorithms for deep learning (XLA/OpenXLA) to accelerate training and inference on NVIDIA GPUs. Design graph partitioning/tensor sharding for distributed workloads, perform performance tuning and code generation using MLIR/LLVM/Triton, collaborate with framework and hardware teams, and contribute to JAX and related libraries.