NVIDIA

Solutions Engineer

• Working with NVIDIA Partners and OEMs in Public Sector on large data center networking system deployments.
• Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments.
• Become the primary technical driver for customers during the design, development, construction, integration, and production of networking infrastructure and applications throughout the entire customer lifecycle.
• Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions.
• Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA.
• Analyze and debug compute/network configuration and performance issues to deliver performant clusters.
• Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
• Educate C-Suite-level decision-makers about the benefits of AI and enhanced computing performance.
• Handle communication with customers and NVIDIA Management.
• Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools.

Senior Solutions Architect, Networking – Public Sector

Engineer

• Drive physical design integration and implementation of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level
• Drive RTL integration, synthesis, along with all physical netlist deliverables across various milestones
• Drive formal equivalence checking, netlist quality checks, asynchronous checking including clock domain crossing checks and MTBF analysis, etc.

Senior ASIC RTL Integration, Netlisting Engineer

• Developing physical design methodologies for rail analysis and signoff
• Responsible for coming up with unique and creative solutions for pioneering IR analysis and signoff that are needed for NVIDIA chips
• Crafting workflows and tool methodologies for power and noise analysis across multiple projects

Senior Power Integrity Methodology CAD Engineer

Architect

• You will be working on architecting GPU power features and system level power management solutions for NVIDIA products. • Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy for NVIDIA's GPU roadmap. • Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle. • Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs and platforms.

Power Architect

• Working with Cloud Providers and Hyperscalers to develop, build and deploy compute and networking solutions based on NVIDIA groundbreaking AI infrastructure hardware
• Work with customers on POCs for AI solutions to address critical business needs
• Conduct regular technical customer meetings for intro to new technologies and products, feature discussions, workshops and performance debugging sessions
• Provide recommendations to business and engineering teams on product strategy.

Senior Solutions Architect, AI Infrastructure

• Be responsible for maintaining and improving mission critical infrastructure and test content
• Investigate failures and anomalies in automated build and test systems and drive to resolution with a team of experts
• Identify systemic problems in reporting systems, distill those into actionable investigations and drive service level improvements
• Write, configure and debug automated tests for system-level/kernel-mode software under Linux and Windows
• Architect new tools and refine processes that deliver productivity improvements

Senior Systems Integration Engineer

Mechanical Engineer

• Lead all block/chip level PD activities
• PD activities includes floor plans, abstract view generation, RC extraction, PNR, STA, EM,IR DROP, DRCs & schematic to layout verification
• Work in collaboration with design team for addressing design challenges
• Help team members in debugging tool/design related issues
• Constantly look for improvement in RTL2GDS flow to improve PPA
• Troubleshoot a wide variety up to and including difficult design issues and apply proactive intervention
• Responsible for all aspects of physical design and implementation of GPU and other ASICs

Senior Physical Design Engineer

Designer

• Be in charge of full chip and/or chiplet level STA convergence from early stages to signoff.
• Take part in top level floor plan and clock planning.
• Optimize, together with CAD signoff flows and methodologies.
• Digital Partitions' and analog IPs' timing integration, giving feedback to PD/RTL and driving convergence.
• Work closely with logic design and DFT engineers to define and implement constraints for the various work modes, including their optimization for runtime and efficiency.

ASIC Design, STA Engineer

• Verification for chip blocks/entities according to specifications
• Integrations and Full-Chip models
• Interaction with organization-wide groups

Chip Design Verification Engineer

Backend Engineer

• Design industry grade C++ testsuite, focusing on modern C++ standards C++23/26
• Identify potential gaps in current test procedures and leverage modern LLM technologies
• Automate compiler testing using NVIDIA test frameworks and programming
• Apply current iterative planning and test development processes in existing test coverage

Verification Engineer – Compilers, C++

• Empower and mentor partners, customers, and colleagues, sharing your expertise to help them grow and succeed
• Play a key role in shaping and supporting strategic plans that drive innovation at national, regional, and city levels across diverse global communities
• Build engaging resources—such as presentations, blogs, and interactive notebooks—that connect business strategy with real-world government and community needs
• Collaborate with customers’ technical teams, guiding and supporting them through hands-on field trials and solution deployments
• Advocate for customer and partner needs by helping define product requirements and championing enhancements that remove barriers
• Develop and demonstrate solutions based on NVIDIA’s groundbreaking AI software and hardware technologies to customers.

Solution Architect, Urban AI

Cloud Engineer

• Gathering technical requirements and developing comprehensive roadmaps
• Collaborating cross-functionally to understand partner capabilities
• Identifying and driving opportunities to onboard the adoption of third-party and in-house solutions
• Establishing metrics and key performance indicators (KPIs)
• Developing and executing a robust communication strategy

Senior Technical Program Manager, Cloud Infrastructure

• Collaborating with NVIDIA Cloud Partners to create, implement, and put into operation NVIDIA's innovative hardware and software solutions.
• Partner with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions.
• Act as the primary technical support for customers during the development, construction and production of extensive GPU cloud infrastructure through whole customer lifecycle.
• Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
• Work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure.
• Prepare and deliver technical content to customers including presentations, workshops, etc.
• Analyze and develop joint solutions for customer performance and scaling issues.

Solutions Architect – NVIDIA Cloud Partners

Full-stack Engineer

• Design and implement NVIDIA NIM connectors and Blueprint integrations into upstream agentic AI frameworks (e.g., LangGraph, LlamaIndex, AutoGen, CrewAI, Claude Agent SDK, OpenAI Agents SDK)
• Build and maintain agentic workflows — including tool use, memory, planning, and multi-agent coordination patterns — powered by NVIDIA inference services
• Develop test harnesses and evaluation pipelines to validate agent behavior, tool-call correctness, and end-to-end workflow quality
• Evangelize NVIDIA agentic AI capabilities through demos, documentation, and upstream community contributions
• Partner with NVIDIA NIM and release teams to ensure Day-0 agentic support for new models and inference APIs
• Continuously discover emerging agentic frameworks and drive integrations that expand the NVIDIA agentic ecosystem
• Mentor junior engineers and review contributions from internal and external contributors

Senior Software Engineer – Agentic AI, Nvidia Blueprints, NIM Integrations

QA Engineer

• Driving quality improvements through meticulous supplier assessments and audits.
• Collaborating closely with suppliers to ensure compliance with NVIDIA's extraordinary standards.
• Developing and implementing supplier quality metrics to supervise performance.
• Taking charge of root cause analysis and corrective action processes to address any quality concerns or issues.
• Working with multi-functional engineering teams to resolve and implement quality requirements.
• Offering mentorship, training and support to suppliers to improve their performance.
• Ensuring strict consistency to quality control procedures and regulations.