NVIDIA

Engineer

• Verify the design, architecture and micro-architecture using advanced verification methodologies
• Define the verification scope, and contribute to development of verification infrastructure for memory subsystem units
• Verify firmware code, with specific attention on verifying hardware/firmware interactions
• Collaborate with architects, designers, software engineers across sites to accomplish your goals

ASIC Verification Engineer, New College Grad 2026

Product Manager

• Contribute across the full lifecycle of the NVIDIA AIOps platform —from shaping business strategy and influencing software development tradeoffs to supporting direct and partner-led go-to-market execution
• Work closely with customers including demos and driving field trials to ensure successful adoption.
• Translate customer needs into shipped capabilities.
• Define specific features with user experience details and technical requirements
• Define use cases to craft and convey the product value proposition to a variety of audiences.
• Help define future products and build prototypes to convey value proposition and competitive differentiators
• Build UI mocks to effectively communicate user experience, customer value and design requirements.

Senior Product Manager – AIOps

DevOps Engineer

• Working on building tools to improve the SRE Observability.
• Be part of the Kubernetes migration journey with VMI setup and problem solving.
• Rapidly debug and triage incidents and user-reported issues
• Taking ownership of automating, scripting, and tooling of new/existing scripts to help the team achieve 100% automation of daily tasks
• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity management and launch reviews.
• Be part of an on-call rotation to support production systems

Senior Site Reliability Engineer, GeForce NOW

Full-stack Engineer

• Build and implement production-grade features across NemoClaw, focusing on onboarding flows, policy controls, inference routing, and sandbox lifecycle.
• Develop and sustain secure agent runtime infrastructure, ensuring strong network policy administration, credential management, and failure recovery.
• Engage in daily open-source workflows: author pull requests, conduct technical reviews, address issues, write tests, and contribute to documentation.
• Use AI-assisted development tools to improve the engineering loop, while applying rigorous verification and security measures.
• Develop tools, test harnesses, automation scripts, and CI/CD workflows to boost team efficiency.
• Diagnose complex failures across various platforms and environments, including TypeScript/Node.js, containers, Linux, macOS, WSL, and GPU-backed systems.
• Collaborate with internal teams and external communities, including OpenShell and AI platform partners.

Senior Software Engineer, AI Agent Runtime, Open Source Infrastructure

Systems Engineer

• Design, deploy, and operate solutions on Kubernetes for large-scale storage and data platforms, including the manifests, Helm charts, and operators that run them.
• Build tools, services, and automation that improve the lifecycle of storage and data systems – from provisioning and configuration through deployment, scaling, and day-2 operations.
• Develop and operate telemetry and observability for production systems – metrics, logging, tracing, dashboards, and alerting – so that system health, availability, and latency are measurable and actionable.
• Apply strong analytical troubleshooting skills to diagnose and resolve complex issues across distributed, containerized infrastructure.
• Work closely with peers and partner teams to improve the lifecycle of services, from inception and design through deployment, operation, and refinement.
• Scale systems sustainably through automation, infrastructure-as-code, and CI/CD, and evolve systems by pushing for changes that improve reliability and velocity.
• Support services before they go live through activities such as deployment automation, capacity planning, and launch and readiness reviews.
• Practice sustainable incident response and postmortems, and participate in an on-call rotation to support production systems.

Senior Systems Engineer, Storage – DGX Cloud

• Design, build, and operate the infrastructure backbone powering AI inference products
• Own Kubernetes deployments end-to-end
• Architect CI/CD pipelines for automated build, test, packaging, and release
• Build observability that tells the truth about platform health
• Manage cloud and on-prem environments with infrastructure-as-code
• Own the security posture for infrastructure components
• Collaborate closely with engineers across teams

Senior System Software Engineer – DevOps, Infrastructure Automation

• 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

• 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