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Own the Customers: Serve as the trusted point of contact for a portfolio of marquee accounts — including leaders in aerospace, robotics, autonomy, healthcare, and gaming — building executive-level 1:1 relationships and turning that trust into expanded, committed business.
As a Senior Software Engineer at NVIDIA, you will part of a group of firmware verification engineers, using your expertise in C++ and Python in an Agile methodology. Develop the verification process, aligning with quality standards and project timelines.
Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems.
Collaborate with Hardware, Software, and System Architecture teams to define end-to-end solutions. Define the firmware architecture for new products and features at the core of NVIDIA's SOC and GPU firmware and software.
Architect, design, implement, and verify security and systems features for GPU kernel drivers, embedded software, and next-generation GPU architectures.
Set the architecture for a unified platform spanning topology, configuration, telemetry, active measurement, change intelligence, and self-service experiences.
Architect, build, implement, and debug GPU power and performance management software, with emphasis on P-state management and DVFS.
Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.
Assist various network and AI cluster support teams in reproducing, resolving, and root causing sophisticated customer issues. Work with R&D teams to develop bug fixes, workarounds, and solutions for critical customers using NVIDIA’s network technologies.
Design best-in-class SRAM circuits using state-of-the-art technology processes. Optimize circuits for performance, area, and power. Supervise mask designers to craft high quality and dense pitch-matched layout. Verify functionality, electrical integrity, and robustness.
Our team owns, develops and delivers the Manufacturing, Test, and Failure Analysis/recovery process for new datacenter servers and assemblies incorporating the latest NVIDIAs GPU, CPU, and high speed interconnect technologies.
Tracking, modelling, accounting, and forecasting rebate/customer incentive programs, including accruals, releases and claim settlements.
Coordinate the operating plan across research priorities, technical execution, and program achievements. Convert research objectives into experimental priorities, parameter-space development, campaign planning, and success criteria.
Institution and Government Engagement: Serve as a trusted advisor to university and occasionally, state government leaders, communicating NVIDIA's vision, technology roadmaps, and research impact.
Working in a product research environment where we place big bets on where the future is heading, adapting in real time as we build alongside an industry that is constantly evolving with us.
Work directly with Marketing, Architecture, and Engineering across Enterprise business units to provide competitive and internal data analysis. Your insights will set industry performance expectations, support new product initiatives, and influence business decisions.
Identify, develop and close strategic design wins for DPU and SuperNIC with top AI labs and Cloud Service Providers! Build and implement the segment sales growth strategy for host networking across hyperscaler and frontier model AI labs building large scale AI infrastructure.
Design and deliver robust implementable solutions in Anaplan Modeling. Lead projects to implement new and improve existing functionalities that are already implemented at NVIDIA in Anaplan.
You will be an integral part of a small, forward-thinking team responsible for a significant and rapidly growing revenue contribution to the Enterprise products group, the fastest growing and most dynamic segment at NVIDIA.
Lead a team and own the roadmap for operational processes and platforms, from requirements and delivery through adoption and results. Set technical direction, prioritize work, and guide execution across engineering and operational disciplines.
Lead, develop, and grow a team of performance engineers responsible for benchmarking, performance characterization, data analysis, automation, and product readiness!
As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator. You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies.
Design, implement, and maintain next-generation NVLink Fusion features across one or more low-level software layers, including kernel-mode drivers and embedded firmware or microcode.
Ensure timely execution of month-end and quarter-end close activities, including preparation and review of journal entries, account reconciliations, and reporting.
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