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Leads multifunctional initiatives defining safety architectures and requirements for autonomous vehicles. Develops safety concepts and analysis supporting continuous software delivery, improves safety metrics and analysis tools, evaluates safety data, and communicates readiness results. Collaborates with perception, AI, motion planning, and architecture experts to ensure DRIVE products meet rigorous safety standards.

As a Senior Solutions Architect, you will assist customers in building solutions with NVIDIA's AI technology, focusing on Generative AI and Large Language Models while collaborating across teams for performance analysis.

The Senior Localization Engineer will build robust localization solutions using navigation maps for autonomous vehicles, ensuring real-time performance and adherence to automotive safety standards.

Develop and optimize deep learning compiler infrastructure for high-performance inference across GPUs, data centers, devices, automotive, and robotics. Responsibilities include analyzing neural networks, creating compiler optimization algorithms, defining APIs, improving performance and memory efficiency, implementing compiler techniques, and collaborating with software framework and hardware architecture teams. The role also involves software design, debugging, performance analysis, testing, and independently leading development efforts.

Deploy, manage, validate, and optimize large-scale AI compute and HPC infrastructure in Linux environments. Serve as a technical liaison among NVIDIA, partners, and enterprise customers; lead planning through implementation, document handoffs, transfer knowledge, troubleshoot hardware and software, and provide feedback for product and architecture improvements. The role involves networking, system design, automation, benchmarking, cluster provisioning, and customer-site travel up to 30%.

Develop and optimize GPU-accelerated algorithms for quantum circuit simulations, collaborating with various teams, and leading technical efforts.

Develop and improve NVIDIA’s proprietary GPU compiler backend in C++. Design register allocation passes and compiler optimizations for high-performance GPU machine instructions. Collaborate with compiler, hardware, and application teams on improvements and issue resolution. The role spans deep-learning compiler technology and requires strong compiler code-generation experience, preferably with LLVM, plus robust software engineering, testing, and documentation skills.

The Senior Formal Verification Engineer will verify sophisticated ASIC builds using formal methods, collaborate with architecture teams, develop verification environments, and support silicon debug.

The Senior LLVM Compiler Engineer will contribute to upstream LLVM development, lead design discussions, and ensure high-quality compiler solutions in collaboration with open-source communities.

Leads technical developer-relations strategy for NVIDIA platforms across capital markets. Advises quants, traders, developers, financial institutions, ISVs, and cloud providers; demonstrates CUDA, CUDA-X, AI frameworks, and accelerated computing solutions; supports partner onboarding and integrations; develops benchmarks, sample code, and reference implementations; gathers ecosystem feedback; influences product roadmaps; and represents NVIDIA at industry events, workshops, and conferences.