NVIDIA

Full-stack Engineer

• Develop a deep, shared understanding with NVIDIA's early-adopter engineering teams
• Identify the friction points where agentic workflows would have the highest impact
• Iterate with teams on proof points to validate or revise plans
• Use technical judgment to distinguish durable architectural opportunities from "tech du jour" hype
• Agent-ify compiler infrastructure to enable autonomous agents to make high-dimensional optimizations, with closed-loop validation on real hardware
• Multi-agent orchestration in various contexts
• Integrate systems into git-native workflows and CI pipelines for agents to build, test, and iterate

Senior Software Engineer, Agentic Engineering

• Developing the latest graphics and deep learning technologies to bring real-time AI to gamers and creators.
• Working with industry leaders to design new APIs and systems and implement across multiple GPU generations and Operating Systems.
• Collaborating with leading game studios to ensure their games run perfectly on NVIDIA hardware.
• Participating in the development of new real-time rendering and AI techniques to support evolving industries.
• Supporting the design, development, and validation of next generation graphics processors from design to store shelves.

Senior Graphics System Software Engineer

Solutions Engineer

• Build, develop, and maintain full-stack applications and/or platforms that can be scaled to support different events
• Partner with the developer advocates and marketing team to take POCs from prototype to production, including architecture, implementation, testing, deployment, monitoring, and maintenance
• Own the efforts to support high-visibility activations, trade shows, conferences, and live demos
• Travel may be required to support activations at trade shows and conferences (about 20%)

Full Stack Solution Engineer

Operations

• Work together with Controls engineering to prioritize and coordinate the resolution of critical UI, stability, and interoperability issues affecting data center operations.
• Lead operational cleanup at live sites, including nuisance alarm reduction, disabled point remediation, and restoration of a usable monitoring baseline.
• Collaborate with engineering and operations to establish and uphold a consistent Controls version and configuration baseline, including setpoints, thresholds, and alarm defaults.
• Help establish naming standards, topology mapping methods, and configuration governance to ensure consistency across sites.
• Own the development and delivery of training, documentation, and knowledge transfer for data center operators and FOC teams using the Controls system.
• Support the planning and rollout of integrations between Controls and key infrastructure tools (asset, power, and monitoring systems), focusing on operational value and adoption.
• Define and track key operational metrics, such as incident response times, alarm quality, and configuration compliance, and drive continuous improvement.

Data Center Operations Controls Engineer

• Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
• Document what you know and guide others.
• Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for sophisticated applications both in the datacenter and at the edge.
• Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.

Senior Solutions Architect, Energy Sector

Program Manager

• Lead cross-functional programs to operationalize new products, services, and service offerings, ensuring readiness across fulfillment, logistics, field service, and support.
• Design and optimize end-to-end fulfillment flows: order intake, kitting, staging, shipping, installation scheduling, returns, repair, and reverse logistics.
• Manage relationships with 3PLs, carriers, depot/repair partners, warehousing teams, and field service providers; negotiate contracts and measure performance.
• Define program benchmarks (OTD, SLA compliance, RMA turnaround, inventory turns, shipping cost per unit, fill rate, first-time fix rate) and build dashboards for leadership.
• Lead continuous improvement initiatives (Lean, Six Sigma tools) to reduce cost, cycle time, and failures while increasing capacity and quality.
• Develop capacity planning and inventory strategies based on projected demand to support product launches and seasonal demand spikes.
• Lead change management: rollout of new systems (WMS, TMS, FSM, ERP integrations), SOPs, training, and governance.
• Own risk management and business continuity planning for logistics and field operations (disruption mitigation, contingency carriers, spare pools).
• Coordinate cross-functional collaborators (product, engineering, sales, finance, customer success) to align service SLAs with commercial commitments.

Logistics Execution Program Manager

Engineer

• Understand the design & implementation focusing on Memory Management unit
• Define the verification scope
• Develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors)
• Implement test/coverage plans
• Verify the correctness of the design
• Collaborate with architects, designers, software engineers across sites
• Plan and work on strategic direction of the methodology for the testbench

Senior ASIC Verification Engineer

Security Engineer

• Design, build, and operate the ingestion and transformation pipelines for security telemetry
• Architect the storage layer for a data lake/lakehouse
• Build the query and analytics layer for security metrics
• Engineer encryption at rest and in transit, fine-grained RBAC/ABAC, audit logging
• Ensure data quality and trust by building for stable identity and source attribution
• Collaborate with security teams to define data contracts early

Principal Security Data Engineer, Infrastructure Security Engineering

• Embody NVIDIA's AI first mentality with a demonstrated passion and experience in creating deliverables with any modern AI toolset (Claude, Codex, Cursor)
• Build and lead the implementation of Identity Governance solutions that strengthen NVIDIA's enterprise security posture
• Independently develop technical implementation builds, incorporating feedback from senior engineers and collaborators to deliver well-rounded solutions with an emphasis in agentic AI processes
• Mentor and develop team members while driving our enterprise Zero Trust strategy through active collaboration
• Build and advance our Identity Governance roadmap, balancing central initiatives with reliable day-to-day operations
• Partner with product teams to define secure business requirements, ensuring every collaborator has the clarity needed to build effective solutions
• Collaborate with project development teams to enable successful delivery by applying the right security tools, technologies, and techniques
• Champion SDLC guidelines and continuously find opportunities to streamline and improve team processes

Senior Cybersecurity Engineer – Identity Governance

• Working on backend and frontend design and development of web applications targeting VLSI design and modeling
• Collecting requirements and provide consultation to end users about their needs and use cases
• Analyzing performance bottlenecks
• Supporting and maintaining large scale data platform with high QoS
• Building infrastructure and microservices for various big-data scenarios

Senior Full-Stack Software Engineer – VLSI Tools

Systems Engineer

• Architect, design and deliver robust implementable solutions for complex supply chain requirements using SAP IBP Supply Planning, Demand Planning, Optimization and Fulfillment Techniques involving SAP IBP utilizing both order-series and time-series planning.
• Demonstrate process improvement techniques to streamline business process and architect solutions.
• Lead projects to implement new and improved existing functionalities that are already implemented at NVIDIA in IBP.
• Build prototypes and proof of concepts for business requirements and translate them into effective operational solutions.
• Apply industry-best practices for data analysis and share across the teams.
• Build business and product scenarios to help the BU improve NVIDIA's profitability and market share.
• Perform testing to support system implementations and upgrades, and drive system design analysis, testing, and training
• Collaborate with cross functional teams in business and IT to deliver comprehensive supply chain planning solutions, and Influence senior leadership in business to adopt scalable solutions and systems/tools.

Senior Business Systems Analyst, SAP IBP Planning

Research Scientist

• Research and develop advanced physics-based models and scalable simulation frameworks.
• Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality datasets.
• Develop detailed noise models of quantum hardware that capture device physics, decoherence, and drift behavior, enabling accurate performance prediction and parameter inference without full experimental overhead.
• Develop GPU-accelerated implementations to ensure the full simulation and modeling pipeline scales.
• Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving.

Senior Quantum Applied Research Scientist, Physics Modeling

• Research and develop open AI models for quantum system calibration to advance the state of the art and empower the quantum community to build on shared foundations.
• Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality training data for upstream calibration and decoding model development.
• Develop surrogate models of quantum hardware that capture device physics and drift behavior, enabling rapid performance prediction and parameter inference without full experimental overhead.
• Architect performant real-time AI systems that jointly account for calibration state and decoding requirements, co-designing model latency, throughput, and update cadence to meet the demands of fault-tolerant feedback loops.
• Apply reinforcement learning and online learning methods to calibration policy optimization, enabling models that improve continuously from hardware feedback and generalize across device families and modalities.
• Develop GPU-accelerated implementations to ensure the full pipeline scales.
• Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving.

Senior Quantum Applied Research Scientist, Calibration and Decoding

• Join the Developer Tools team as a senior software engineer to work on profiling tools within the growing Nsight family.
• Design and implement product features that would help make it possible and easy to collect, analyze, and visualize performance profiling data in cluster and cloud environments.
• Communicate across multiple teams to collect and understand the requirements, user needs, and expectations.
• Understand how the underlying hardware and software works, and use that knowledge to deliver valuable features to the users.
• Collaborate with team members across multiple time zones in a dynamic, high-energy work environment.
• Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team.

Senior Software Engineer, Developer Tools for Cloud

• Support Business Development and Sales teams as part of a Team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers’ ecosystem success.
• Work directly with developers and customers in a customer-facing setting.
• Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
• Analyze application architectures and find opportunities for acceleration.
• Provide feedback and collaborate with engineering, product and research teams.
• Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms.