NVIDIA

Engineer

• Build performance modeling and prediction tools for AI workloads at Data-center scale
• Develop production tools and workflows used by multiple teams both within NVIDIA and its customers
• Automate workflows including search for the most efficient configurations over millions of parameters
• Partner with HW and SW architects to propose new features or improve existing features with real world use cases

Senior Datacenter Performance Model Engineer

Data Analyst

• Manage and optimize GPU capacity and other compute resources across various cloud service providers
• Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics
• Analyze the technical and business needs for GPU capacity and other compute resources
• Identify performance bottlenecks in day-to-day usage of compute resources and collaborate to resolve them
• Drive infrastructure resource efficiency initiatives in partnership with engineering, finance, and product teams
• Develop and enhance tooling for our cloud infrastructure and analytics platform to optimize resource usage and performance
• Partner and cross-collaborate with Finance, Product, Service Owners, and Infrastructure Engineering teams

Capacity Operations and Analytics Manager

Full-stack Engineer

• Design and implement next-generation NVLink features in C/C++.
• Support the bring up of new NVLink platforms from Pre-Silicon to Production
• Perform verification, validation, and testing of NVLink-connected products using various methods and tools.
• Debug and resolve any issues related to NVLink and provide technical support to customers and partners.

Senior System Software Engineer

Solutions Engineer

• Own the creation of scalable datacenter solutions for enterprise AI/ML systems
• Craft detailed requirements for pioneering infrastructure patterns and datacenter wide architectures
• Create and validate cluster designs, optimizing them for enterprise facilities
• Collaborate closely with other experts in compute, software, and storage to drive innovation
• Lead multi-disciplinary projects, addressing high-level goals and complex challenges
• Engineer on-premises cloud-native solutions that flawlessly integrate with diverse cloud providers
• Assume a pivotal role for the compute and hardware architecture domain, driving expertise and excellence
• Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN (local area networking), WAN (wide area networking), WiFi, and SD (software-defined) networks
• Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness

Senior Solutions Architect – Enterprise AI

Product Marketing

• Develop a worldwide channel GTM collaboration with strategic goals aligning with NVIDIA's enterprise strategy
• Work closely with NVIDIA's extended team and global HP, Inc organization
• Gain strategic alignment with channel leadership to influence plans and investments
• Develop a trusted advisor connection with HP, Inc's partner leadership
• Build a closed-loop system identifying progress against key outcomes
• Identify leaders from HP, Inc's partner organizations to drive pipeline and incremental sales
• Collaborate with cross-functional teams to produce executable plans and improve NVIDIA's value through incremental pipeline and revenue

Global Channel GTM Lead

Frontend Engineer

• Design and implement enhancements to the CUDA C++ compiler driver and front-end, ensuring tight integration with industry-leading third-party compiler software
• Contribute to the CUDA C++ programming language specification and its evolution factoring in support for new GPU hardware capabilities
• Drive language conformance, front-end robustness, and compile-time improvements that benefit a wide range of users
• Provide engineering support for the compiler and deliver targeted changes for production customer releases
• Establish strong customer/partner relationships and trust through excellent execution and high-quality software development

Compiler Engineer, Compute Front-End

Mechanical Engineer

• Develop and participate in cutting edge Processor design in deep submicron technologies
• Work as part of a global circuits team to design innovative circuits (digital, semi-custom and mixed-signal analog) for silicon correlation and hardware security
• Collaborate and work closely with cross-functional teams to improve the performance, reliability and security of Nvidia’s next generation products by performing detailed transistor-level analysis on the design
• Drive the design and physical implementation of digital and/or mixed-signal analog circuit IPs for current and voltage sensing, and common Security attacks detection and protection using custom and automated tools
• Create prototypes of patentable ideas on test chips and drive them to be deployed across the entire line of products
• Be a mentor/technical lead for junior team members

Circuit Design Engineer

DevOps Engineer

• Designing and supporting mechanisms for coordinating and maintaining a large number of semiconductor design tasks across multiple datacenters.
• Building web interfaces to configure, launch and analyze tools.
• Debugging and improving services on platforms ranging from web browsers to containerized services to bare metal Linux hosts.
• Data mining and analyzing large datasets of job execution telemetry and tool Quality of Result to improve flows.
• Helping to invent the next generation in semiconductor design methodology.
• Optionally, contributing to the physical design of GPU/CPU/Networking products.

Physical Design Methodology, DevOps Engineer

• Build and redesign tooling, services, and workflows that encompass all products on GFN
• Adapt and scale services for both internal and consumer-facing applications
• Investigate and develop future ideas for our pixel streaming + AI product, GDN
• Own and standardize AI workflows to streamline development and UI build
• Collaborate with engineers, designers, and TPMs to bring products to life successfully

Senior Software Engineer, Cloud Streaming

Infrastructure Engineer

• Lead how NVIDIA responds to and adapts to growth and rapid change.
• Drive the organization’s program design and execution.
• Collect requirements, define priorities, coordinate scheduling, and address challenges throughout the implementation lifecycle.
• Optimize workflow using objective measures to improve engineering efficiency.
• Establish a Program Management charter based on accountability, outcomes, leadership, and delivery.
• Set and clearly define high standards and help the team achieve them.
• Hire, retain, and grow outstanding people.
• Drive high performance, clarity, positive culture, and collaboration.

Director, Infrastructure Engineering – Program Management

Machine Learning Engineer

• Convert research into real products (not just slide decks or notebooks)
• Help build workflows that diversify datasets and/or populate data
• Ship machine learning workflows/pipelines fast and iterate faster
• Leverage LLM/VLM and agents in the data generation pipeline
• Define evaluation criteria and run offline evals before any model or prompt change reaches production

Senior Systems Software Engineer, Machine Learning

Technical Program Manager

• Lead cross-functional programs across product, engineering, platform, ecosystem, and go-to-market teams.
• Drive planning and execution for cloud and software platform roadmaps, including integration paths, release readiness, and delivery dependencies.
• Build coordinated plans for early product proof points, customer-facing workflows, and high-visibility technical demonstrations.
• Align internal teams and external partners on readiness criteria, dependency closure, enablement material, and pilot-to-scale handoffs.
• Clarify priorities, surface tradeoffs, drive decisions, and maintain operating rhythms across complex technical programs.
• Help mature early initiatives into repeatable offerings that customers and partners can adopt with confidence.

Senior Technical Program Manager, DSX Sim

• Design, implement, and own scalable, high-performance software libraries, features and services across the stack.
• Contribute to software architecture and technical design across multiple components and frameworks, with an emphasis on robustness, flexibility, and long-term maintainability.
• Help define projects and execution plans by clarifying scope, identifying dependencies and tradeoffs, and translating broad goals into actionable technical work.
• Provide technical leadership to a team or multi-functional group by guiding implementation, reviewing design and code, and helping drive progress against timeline and strategy.
• Operate effectively in ambiguous spaces, making sound technical decisions and moving work forward with a high degree of autonomy when needed.
• Build and iterate on AI-assisted development workflows, including code generation, refactoring, CI/CD automation, and practical use of coding agents in real engineering environments.
• Collaborate with robotics and simulation teams to integrate services and tools into robotics workflows and, where relevant, extend platforms such as Isaac or ROS.
• Contribute to strong engineering practices around testing, code review, documentation, observability, reliability, and operational quality.

Senior Systems Software Engineer – Omniverse

Security Engineer

• Constantly improve automation, develop new tools and skills that make our secure practices easier for users to adopt and deploy
• Partner with engineering and product management from earliest design through release. This entails tracking evolving discussions, surfacing security implications, and translating them into practical mentorship
• Run security reviews across code, dependencies, containers, cloud, and CI/CD
• Triage, prioritize, and drive remediation to closure
• Build automation and developer-facing tooling that make secure-by-default the easy path
• Ask sharp questions. Challenge assumptions. Surface risks that don't appear on standard checklists
• Improve secure development practices, standards, and workflows
• Communicate risk crisply to technical and non-technical audiences
• Stay ahead of emerging threats relevant to modern software and cloud.

Information Security Engineer

• Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards.
• Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware.
• Design next generation production and provisioning systems.
• Collaborate with partners on the implementation of open-source software.
• Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams.
• Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.
• Work with customers, partners to identify and address security issues and threats.