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Own a designated geographic territory, driving enterprise and commercial account revenue through the channel. Lead executive working sessions with C-level and line-of-business leaders, developing agendas, conducting discovery, and guiding customers toward buying decisions.
This role sets the strategy and leads the team that delivers custom AI to end customers through NVIDIA’s partner ecosystem. The team deepens partner relationships and leads three-way engagements among NVIDIA, the partner, and the end customer.
Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs. Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.
Lead a team which designs, develops, optimizes and validates features and/or bug fixes for our Linux GPU Device drivers collaborating with fellow software engineers. Interact with internal and external partners to understand their use cases and requirements.
Own the consolidated P&L forecast, bringing inputs from across the business into a cohesive company-wide view and surfacing the insights that shape the decisions steering the company.
Build FPGA prototypes by making RTL FPGA-friendly, partitioning the design and taking it through synthesis and place and route. Improve performance of the prototype, analyze timing and generate bit streams.
Apply various certification kits to test software and hardware features of our products, ensuring certification-level quality across all stages of the development cycle, from emulation to production.
Develop and maintain verification infrastructure, including testbenches, BFMs, checkers, monitors, scoreboards, assertions, and constrained-random stimulus.
NVIDIA · 14d ago
Draft, review, and negotiate business partnership and commercial agreements across NVIDIA’s global business: hardware, software licensing, reseller, distributor, partner programs, marketing, and government contracts.
Design and build evaluation and analysis tooling used by AV and ML engineers. Improve analyzer workflows, including onboarding, execution, qualification, and production observability. Build reliable services, APIs, CI pipelines, and UI-facing workflows across the stack.
Build and deliver agentic AI solutions—autonomous systems that reason, plan, and take actions. These automate silicon bring-up, test and validation frameworks, debugging, and engineering workflows to speed up GPU launches.
As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system.
Build policy-verification features: Implement components of the Runtime Policy Verifier and authorization APIs, including signed policy validation, freshness and revocation checks, rollback protection, and binding decisions to the correct subject and runtime context, following…
Design, develop, optimize, and debug C++ software for ultra low-latency streaming systems. Implement WebRTC and related real-time protocols and congestion-control algorithms from the ground up, working directly from specifications.
Design, develop, test, document and maintain upstream Linux kernel support for NVIDIA GPU virtualization, including vGPU enablement in Nova.
Design, build and operate production pipelines using Python, SQL and Databricks/Spark for cloud billing, SaaS usage and shared-service telemetry.
Designing, building, and maintaining production services for bare-metal discovery, provisioning, hardware validation, firmware upgrades, auditing, and repair across large GPU fleets.
You will have a unique opportunity of pushing the boundaries and ensuring the perfect performance of Nvidia's embedded software systems where your contributions will directly impact the verification strategy and quality.
Lead cross-functional planning and execution for evaluation identification, selection and execution. With a focus on agentic-safety evaluations, including multi-turn tool calling, unsafe tool use, unintended actions, excessive autonomy, and multi-step failures.
Lead, mentor, and grow a team of program managers and specialists setting a high bar for excellence, collaboration, and accountability. Drive strategy and execution for NVIDIA's core recruiting programs at global scale, owning outcomes end to end!
Define a high-impact research agenda and lead projects in AI-enabled secure system design, implementation, analysis, and verification.
Define a high-impact research agenda and lead projects that advance AI models and agents for cybersecurity and apply them to important security problems.
Supplier Engagement: Lead technical engagement with our suppliers to align the supplier’s roadmap, product planning and technology development to meet our needs.
Lead the build and development of next-generation APIs, state management, and workflow orchestration systems that automate fleet lifecycle operations at a massive scale.
US, USA
Canada, Canada