NVIDIA

Designer

•Verify the design and implementation of inference accelerator
•Responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies
•Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design
•Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks
•Implement and optimize automated verification flows to improve productivity and efficiency
•Stay updated on the latest trends and advancements in ASIC design verification and incorporate innovative techniques into the verification process

Senior ASIC Design Verification Engineer

Systems Engineer

• Build and develop power delivery systems for data center and super compute platforms, including multiphase VRMs and Intermediate Bus Converters (IBCs).
• Architect low voltage, high current (500A-1000A+) power rails for LPU, GPU and accelerator modules.
• Apply control theory principles to optimize power converter performance, stability, and transient response.
• Select and characterize power components including MOSFETs, inductors, transformers, and magnetic devices using vendor tools and configuration GUIs.
• Collaborate with ASIC and package teams to ensure power integrity across high-density PCB builds.
• Develop and complete lab validation plans using oscilloscopes and other test equipment.
• Build automation scripts to improve characterization efficiency and data analysis.
• Collaborate with power management ICs via I2C, SPI, and PCIe protocols for system integration and debug.
• Work with cross-functional teams including mechanical, thermal, firmware, and silicon build engineers.

Senior Power System Engineer

Engineer

• Verify the design and implementation of the industry's leading GPUs.
• Verify the micro-architecture using formal verification tools, define the verification scope, and ensure design correctness.
• Employ advanced formal techniques to obtain sufficiently bounded proofs while working with architects, designers, and pre- & post-silicon verification teams.
• Efficiently execute the formal verification effort for the entire project cycle, delivering high-quality results on schedule.
• Clearly convey those results to the team.
• Identify key behaviors for verification to write clear testplans for complex designs.
• Execute testplans using the latest formal techniques, including the development of environment assumptions, assertions and cover properties.
• Develop abstraction models to overcome complexity challenges and obtain full proofs, or bounded proofs with sufficient coverage.
• Debug RTL to identify causes of failure scenarios.
• Contribute to flow and script development to improve team efficiency.
• Articulate formal verification coverage of the design to partners.

Formal Verification Engineer, New College Grad

Manager

• Lead multiple teams responsible for CI/CD platforms and cloud operations that support GPU-accelerated, microservice-based Omniverse workloads.
• Drive the build, evolution, and operation of end-to-end CI/CD systems, including build pipelines, automated testing, deployment workflows, and release management.
• Coordinate cloud infrastructure used by Omniverse services, spanning compute, networking, storage, security, and control-plane components at global scale.
• Partner closely with software engineering, SRE, and product teams to align development workflows, operational requirements, and delivery timelines.
• Guide the development of tooling and services that improve rollout safety, observability, monitoring, and lifecycle management of distributed systems.
• Evaluate new technologies in CI/CD, cloud platforms, and GPU compute, introducing improvements that raise reliability, efficiency, and developer productivity.
• Establish strong operational practices, including incident readiness, postmortems, and continuous improvement across owned systems.

Senior Manager, Omniverse DevInfra CI/CD

DevOps Engineer

• Build and operate highly reliable, scalable CI/CD pipelines based on GitLab and Github, as well as maintain developer R&D environments using virtualized GPU desktop instances for Omniverse and Isaac development environments, across production, staging, and dev systems
• Support orchestration of GPU‑enabled clusters running Linux and Windows workloads using containerization tools (Docker, Kubernetes) and virtualization (VMware, KVM).
• Automate infrastructure provisioning, scaling, and configuration using Infrastructure‑as‑Code (Terraform, Ansible, AWS CDK, Azure Bicep, etc.).
• Monitor and optimize system health, performance, build/test throughput, and pipeline reliability.
• Collaborate closely with Omniverse and Isaac developer teams to smooth release workflows, increase velocity, and code quality.
• Mentor and guide junior team members; lead by example in DevOps protocols.

Senior DevOps Engineer

Director

• Leading a team of dedicated engineers to develop and optimize Workstation GPU system software on Windows and Linux, ensuring our NVIDIA RTX Pro products remain at the forefront of technology.
• Collaborating closely with cross-functional teams, including software engineers, hardware engineers, product managers, and quality assurance, to successfully implement and deliver world-class workstation solutions.
• Defining the technical direction and roadmap for Workstation GPU system software, making strategic decisions to compete effectively in the marketplace.
• Coordinating the development process, from initial concept through to final release, ensuring the highest standards of quality and performance.
• Mentoring and developing team members to foster a collaborative and inclusive work environment where everyone can do their best work.
• Drive market requirements and participate in technical designs with internal and external partners in the Workstation ecosystem.

Director, Workstation Graphics System Software – GPU

Full-stack Engineer

• Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows.
• Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes.
• Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design.
• Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies.
• Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions.

Senior Software Engineer, VLSI AI Agent

• Lead initiatives to transform IT Compute platform architecture to build new service offerings across On-Prem & Cloud.
• Define and implement metrics to measure the efficiency of compute platforms & services and drive efficiency.
• Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.
• Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.
• Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.

Senior Staff Software Engineer

Business Analyst

• Help analyze business opportunities in priority countries by assessing national and state AI landscapes
• Evaluate government AI strategies and funding
• Identify priority GSIs and ecosystem partners
• Highlight cross-NVIDIA opportunities
• Conduct deep-dive research on assigned countries
• Analyze ecosystem landscapes
• Perform sub-national analysis
• Synthesize findings into clear, executive-ready deliverables
• Present insights and recommendations to the Global Public Sector team

Business Analyst Intern

Software Engineer

• Leading and growing a world-class engineering group dedicated to Data Center Controls, including hiring, mentoring, performance management, and day‑to‑day technical leadership across multiple sites.
• Owning the full life cycle of controls systems (BMS, EPMS, PLC/SCADA) used in electrical, air-based cooling, and fluid-based cooling mechanical systems.
• Tasks include inventing concepts, composing system elements, deployment, operations, and continuous enhancement.
• Partnering with teams in Electrical and Mechanical Engineering passionate about building and construction.
• We define control philosophies, sequences of operation, and reference architectures for new builds, expansions, and retrofits.
• Diving in personally to provide deep technical mentorship on building management systems. This includes electrical power management and vendor platforms such as Cronus and Siemens, or comparable background. This includes configuration, programming, integrations, alarming, and data quality. Diving or comparable experience is considered.
• Driving incident response, root‑cause analysis, standards, and automation that improve uptime, safety, energy efficiency, and operational excellence across NVIDIA’s data centers.

Senior Manager, Data Center Engineering and Controls

Architect

• Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency
• Construct, investigate, and test popular deep learning algorithms and applications
• Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications
• Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture
• Collaborate across the company to guide the direction of AI, working with software, research, and product teams

Senior Deep Learning Performance Architect

• Building joint solutions with ISV and platform partners to enhance the experience for researchers, bioinformatics engineers, and model developers.
• Immersing yourself in CUDA-X libraries and NVIDIA AI, becoming an expert in the SDKs, services, and workflows that constitute it.
• Developing proof-of-concepts and technical reference examples, contributing to community tools with ISV, CSP, and NCP partners.
• Leading technical platform integration roadmaps, while jumping in to solve technical issues as partners integrate with NVIDIA Digital Biology Solutions.
• Working closely with NVIDIA product managers and engineering leads to refine and expand NVIDIA solutions.
• Document what you know and guide others. This can vary from building targeted reference examples for Solutions Architects and other internal collaborators, to as well as for platforms partners — writing whitepapers, blogs, and simply working through hard problems with a customer on a whiteboard.
• Engage with the external community to provide usability feedback to our internal teams to improve product capabilities.

Senior Product Architect – Platforms, Genomics and Life Sciences

Product Marketing

• Work with GTM leaders, individual contributors, and NVIDIA customers to resolve issues and drive action items to resolution.
• Supervise new product introduction deliverables and through ongoing project management.
• Build dashboards to show early indicators of future success and manage meetings to measure progress.
• Complete sales and marketing analysis and reporting on GTM programs and promotions.
• Update databases to scale new worldwide business initiatives.
• Develop playbooks and checklists to supports sales event strategies.

Go-to-Market Strategy Intern

• Contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.
• Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
• Helping with Performance vs Power Analysis for NVIDIA future product lineup.
• Deploying machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
• Understanding the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
• Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.

GPU Power Architect, New College Grad

• Work with some of the best engineers to define verification strategies and complete plans at the full chip level
• Build and continuously reform verification infrastructure and methodologies to meet the demands of next-generation SoCs
• Collaborate with architects, RTL designers, FPGA, and emulation engineers to ensure verification requirements are met for each project