NVIDIA

Designer

• Build the best team to design and execute high-performance CPO (Co Package Optics) switch system from concept to mass production.
• Be a key member of the technical leadership team developing world-class CPO switch designs.
• Lead and support engineering teams in specification definition, electrical schematics, opto-mechanical design and more.
• Collaborate with and integrate all HW project disciplines.
• Schedule projects, create realistic outcome estimates, and drive timely execution.

Senior Hardware Manager, Co Package Optics Switch Design

SDET

• Work with photonic device designers, other test engineering and design validation teams to perform full test and device characterization of silicon photonic devices.
• Develop codes for Silicon Photonic test stations and automation.
• Partner with module developers and design teams to do electro-optical testing of the modules.
• Collaborate with external instrument vendors to ensure seamless software and control integration.
• Work closely with hardware and software teams on functionality, interfaces, and documentation.

Silicon Photonics Test Engineer – RDSS Intern

Full-stack Engineer

• Define, design, develop and verify features for our new SoCs platforms, collaborating with hardware engineers and fellow software engineers
• Follow the new SOC platforms all the way through the development process to the customer products that are used throughout the world
• Be heavily involved with the early firmware, performance, power management, and all of system software required to produce our world-class products
• Have multiple opportunities to collaborate and communicate effectively with teams across the globe

Senior System Software Engineer

Senior System Software Engineer, SOC

• Develop analysis libraries and tools to characterize QEC codes and parameters for a variety of quantum applications
• Identifying, implementing, and productizing AI and algorithmic real-time decoding algorithms in collaboration with NVIDIA's Applied Research team
• Contributing to the development of CUDA Quantum libraries by building AI training infrastructure for the CUDA-Q Quantum Error Correction (QEC) library
• Developing real-time hardware and software interfaces for the heterogenous quantum/classical computing enabled by CUDA Quantum
• Developing and improving CI/CD pipelines for new and existing products to ensure high product quality
• Continually benchmarking and improving workflows for researchers and partners
• Improving processes and infrastructure to accelerate our development

Software Engineer, CUDA-Q Libraries

Developer Relations

• Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents.
• Work with internal and external stakeholders to deliver timely LLM-enhanced library releases.
• Build metrics, tools and processes to measure impact and quality of LLM/agentic code generation.
• Prototype tooling and solutions to help transform math libraries’ APIs into LLM-friendly representations across popular codegen tools.

Senior Math Libraries Engineer – LLM Integration, Developer Experience

• Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors
• Partnering with architects, product managers, and collaborators to create an extensible toolchain integrating quantum architecture specific components
• Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ground-breaking research and technology
• Discussing and refining software designs and implementation strategies with peers
• Improving processes and infrastructure to accelerate our development

Software Engineer, CUDA-Q

DevOps Engineer

• Lead, mentor, and grow your engineering team
• Be responsible for systems that build, test, and monitor functional and performance characteristics of our accelerated computing libraries
• Continuously adopt new technologies to improve efficiency and adapt to changes
• Work closely with NVIDIA teams responsible for the planning and hosting of infrastructure needed by our team
• Interact with libraries engineering teams to understand their use cases and requirements

Senior Manager, Software Engineering – Libraries, DevOps, Infrastructure

Artificial Intelligence

• Collaborate with internal engineering and product teams as well as external partners to accelerate adoption of AI Physics in CAE by building workflows, pipelines, demos and technical content.
• Represent NVIDIA at trade shows and conferences with groundbreaking demos, training labs, publications, and more.
• Work across teams in defining and creating a wide range of work to highlight how AI physics can help improve how people conceptualize, create and design.
• Help channel user feedback back to the NVIDIA teams to improve NVIDIA products and better enable engineers and researchers.
• Build high-quality training materials, developer blogs, and documentation to enable and educate the Developer community to accomplish things only possible with the NVIDIA platform.

Senior Technical Marketing Engineer – AI Physics

Backend Engineer

• Architect, implement, and maintain core components of an IaaS product and related microservices primarily in Rust, C++, or Go.
• Develop and automate workflows for device discovery, firmware updates, and health monitoring using Redfish and other BMC interfaces.
• Build and extend distributed microservices and gRPC APIs for rack management, supporting multi-rack, multi-tenant, and multi-site deployments.
• Implement telemetry collection, aggregation, and analysis pipelines using Prometheus, OpenTelemetry, and Grafana; contribute to Health-as-a-Service initiatives.

Senior Systems Software Engineer – Rust, Go, C++

• Designing and developing software for testing and analysis of our codebases
• Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries
• Developing throughout the software stack, from the user experience down to the cluster and database layers
• Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc)
• Advancing innovative in those industry-standard tools and upstreaming contributions to the open source community

Senior Software Engineer, DL Libraries Infrastructure

Business Operations

• Drive automation across the procurement lifecycle. You'll build on existing automations and identify new opportunities to improve efficiency within internal operations and supplier interactions.
• Improve and develop reporting mechanisms for procurement activities, such as order status by project, equipment lead times, contract statuses (SOW, PSA, MSA), and data center capacity lease activities.
• Apply excellent analytical skills to identify trends and patterns, build models, and present findings and recommendations.
• You'll expose business exceptions and unfavorable outcomes through data analysis and develop strategies to mitigate these issues.
• Foster strong business partnerships across a highly matrixed environment, collaborating with Finance, Procurement, Engineering, Vendors, Legal, Business Analysts, Business Owners, and Service Owners.

Technical Program Manager, Business Operations, Procurement Management

Security Engineer

• Maintain and scale fuzzing infrastructure, onboarding new fuzzers, optimizing coverage and performance, and collaborating cross-functionally with security, QA, and product teams to integrate fuzzing into development workflows.
• Design, develop, and integrate security infrastructure for GPU firmware signing, key management and derivation services, incorporating HSMs and collaborating with hardware and software engineers around the world.
• Evangelize and implement AI powered technologies and workflows to enhance developer experience, productivity, and code quality; exploring opportunities for AI assisted testing, code generation, and intelligent automation.
• Develop and automate regression testing platforms and tools to improve productivity, reliability, and coverage across GPU security components and workflows.
• Design, build, deploy, and monitor security automation frameworks and services (e.g., signing, key management, fuzzing automation), integrating with CI/CD pipelines and Kubernetes-based infrastructure.
• Build out design verification, simulation, quality, and developer workflow capabilities for the GPU Systems Software teams.

System Software Engineer – Security Tools, Infrastructure

Marketing

• Collaborate with internal engineering and marketing teams as well as external partners to build product-based how-to technical content
• Represent NVIDIA at trade shows and conferences with groundbreaking demos, training labs, and more.
• Build blueprints and demos that push boundaries and show the art of the possible
• Help channel user feedback back to the NVIDIA teams to improve NVIDIA products and better enable researchers
• Build high-quality training materials and documentation to enable customers to accomplish things only possible on the NVIDIA platform.

Senior Technical Marketing Engineer – CAE

• Collaborate with engineering, researchers, and marketing teams to build product-based how-to technical content and documentation
• Create high-quality training materials, such as jupyter notebooks and video tutorials to enable researchers and developers to solve the most challenging problems in front of them
• Deliver high-quality technical material to engineers, developers, and scientists through blogs, conferences, and other events