NVIDIA

Architect

• Develop our simulation model to enable research and analysis of new technologies.
• Use our simulation model to define the next generation of our products.
• Be part of the team that defines the ConnectX Network Adapter chip and Bluefield Data Processing Unit architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments).
• Collaborate with other research teams.

Senior Network Modeling Architect – Networking

• Thoroughly understand our networking solutions across all performance related aspects.
• Develop a C++ simulation model to define and evaluate architectural options for our next generation of networking products.
• Understand different trade-offs related to solving performance bottlenecks.
• Collaborate and lead technical solutions within architecture, research, hardware, and software teams.
• Analyze and model the communication patterns of key DL, GAI, inference, and training applications.
• Explore innovative ideas to improve and optimize our chip systems performance.

Performance Modeling Architect

Hardware Engineer

• Take part in research, design, and development of QoS and FW algorithms
• Provide hw-aware technical guidance for core FW development
• Work closely with the architecture and different software design teams
• Implement new features in the core of NVIDIA NIC Firmware
• Develop verification tests for advanced features in a sophisticated Firmware testing environment
• Gain a deep understanding of system debug, networking technology and stacks

Senior Firmware Engineer

Engineering Manager

• Lead and manage a team of software engineers developing network simulation and testing solutions
• Drive the design and development of scalable simulation environments and automated testing frameworks
• Collaborate with networking, software, QA, and infrastructure teams to validate next-generation networking technologies
• Support development and debugging activities across complex simulated environments
• Improve development workflows, CI/CD processes, automation, and software quality practices
• Mentor engineers and foster a strong technical and collaborative team culture
• Contribute to technical decision-making, prioritization, and execution planning

Manager, Software Engineering – Network Simulation and Testing

Artificial Intelligence

• Drive hands-on safety and security research on a range of AI and networking products
• Develop tools and processes to expose novel weaknesses in AI models and systems to preempt threats
• Participate in defining and ensuring AI development processes meet safety and security standards
• Partner with cross-functional teams to understand needs and implement solutions
• Be a technical focal point across multiple teams and provide hands-on AI safety, security and engineering expertise

Senior AI Safety Red Teamer

Security Engineer

• Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video.
• Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
• Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
• Creating efficient pipelines for model training, feedback and improvement.
• Applying alignment techniques and parameter efficient fine-tuning to improve model performance.
• Measuring and benchmarking model and application performance to drive improvements.
• Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training.
• Collaborating closely with software and hardware engineers on new features and improvements.
• Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Senior Data Scientist – Security and Networking Research

Solutions Engineer

• Partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and to help define and deliver high-value solutions meeting these needs.
• Work to design NVIDIA's HW/SW into next-generation software-defined medical devices, AI-enabled clinical applications, and advanced healthcare product platforms.
• Stay up to date on the state of the art in medical image analysis, sensor processing, clinical AI, digital health, and surgical data science to apply the latest advancements in the field to customer needs.
• Support customers to optimize workloads using NVIDIA’s computing platform.
• Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
• Partner strategically with lighthouse customers and industry-specific solution partners targeting our computing platform.

Senior Solution Architect – Medical Devices

• Partner with account teams and customers to identify high-value Physical AI and robotics opportunities, define technical strategies, and map NVIDIA platform capabilities to customer goals.
• Design NVIDIA hardware and software into next-generation medical and surgical robotics systems, intelligent instruments, and healthcare robotics platforms.
• Build proof-of-concept demos and reference workflows for AI-enabled robotics, including robot perception, planning, manipulation, agentic workflows, synthetic data generation, simulation, and Sim2Real validation.
• Help customers build, simulate, train, deploy, and optimize robotics and AI workloads using NVIDIA platforms, including Omniverse, Isaac Sim, Isaac Lab, and NVIDIA inference software.
• Stay current on Physical AI, embodied AI, robot learning, agentic AI, surgical robotics, and simulation first development, and translate relevant advances into practical customer solutions.
• Create technical collateral and training for customers, partners, and internal teams, including whitepapers, blogs, wiki articles, workshops, and hands-on technical sessions.
• Establish relationships with strategic customers and robotics ecosystem partners through remote collaboration and selective travel.

Senior Solution Architect – Physical AI, Medical and Surgical Robotics

Technical Project Manager

• Establish and maintain effective working relationships with all stakeholders
• Understand the high and low level technical architecture and be able to facilitate debate and drive decisions on appropriate solutions
• Ensure that company requirements are produced to standard in a timely manner
• Develop & present comprehensive technical solutions to customers
• Communicate and hold conference calls with internal teams, customers, and partners
• Manage complex installations
• Report and escalate all observed problems to proper operational escalation points
• Manage the communication of project’s changes and release notices to customers
• Document technical and operational procedures clearly and concisely
• Be willing to work irregular hours as required

Project Technical Delivery Manager

Engineer

• Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.
• End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.
• System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.
• Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.
• Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.
• Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
• Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

Senior Software Verification Engineer

Full-stack Engineer

• Design, develop, test, and optimize software for our next-generation SoCs.
• Review architectural performance bottlenecks for various system wide work loads.
• Identify HW/SW policies to drive performance and performance/watt leadership.
• Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology.
• Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors.
• Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs

Senior System Software Engineer – Performance

• Design, develop, test, and optimize software for our next-generation SoCs, in both pre-silicon and post-silicon phases of execution
• Analyze and identify performance bottlenecks in the SOC
• Communicate analysis documents and information to internal and/or external audiences about our technology
• Conduct competitive analysis comparing architecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors
• Develop tools and use benchmarks to analyze performance

System Software Engineer – Performance

• Lead and grow a team of software engineers developing next-generation networking management and orchestration tools
• Own execution and delivery of major cross-functional initiatives involving multiple engineering teams and stakeholders
• Drive technical strategy, architecture decisions, and long-term roadmap planning for networking management solutions
• Partner closely with software, networking, firmware, hardware, DevOps, and system architecture teams to deliver scalable and reliable solutions
• Establish engineering best practices, operational excellence, and high development standards across the team
• Provide hands-on technical guidance, debugging support, and architectural direction when required

Manager, Software Engineering – Networking Management

• Drive board/system level signal and power integrity requirements
• Lead board/system SI/PI design activities, including PCB stackup/material selection, design guide implementation, layout review, and post-layout analysis
• Work closely with Architecture, ASIC, Mixed Signal, Package, and PCB Design teams to design and ensure system SI/PI performance meets expectation before Gerber out, also work closely with Design Validation teams to support SI/PI failure analysis
• Develop novel algorithms & new methodologies to improve SI/PI modeling efforts
• Work with Application Engineering teams to support customers w/ SI/PI questions
• VNA & TDR measurements to support model correlation efforts and improve confidence in design stage

Senior Signal and Power Integrity Engineer

• Primary responsibilities will include building AI/HPC infrastructure for new and existing customers.
• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.