NVIDIA

Solutions Engineer

• Partner with research universities to co-create innovative solutions with NVIDIA’s platform
• Collaborate with engineering, product, and business teams
• Engage with developers and researchers to architect solutions in computational physics, quantum computing, or molecular science
• Profile and optimize performance of AI models
• Attend up to 20% travel

Senior Solutions Architect, AI, HPC

• Serve as the primary technical domain expert for partners supporting robotics, physical AI, industrial autonomy, digital twins, and auto
• Help partners use Omniverse, Isaac Sim, Isaac Lab, Cosmos, ROS2, OpenUSD, and related stacks to create simulation, digital twins, world-building, and robotics workflows
• Guide partners on synthetic data generation, scenario coverage, data strategy, and evaluation methods for perception, planning, controls, and embodied AI
• Use and advise on coding agents such as Codex, Claude Code, OpenClaw, or similar tools to accelerate digital twins development, asset creation, environment setup, robotics integration, and testing workflows
• Define benchmark plans, cluster test recipes, validation methodologies, and sim-to-real readiness criteria
• Advise on compute build-up for simulation, synthetic data generation, fine-tuning, and inference, including cluster sizing, storage, networking, latency targets, deployment patterns, and TCO
• Help partners estimate inference compute requirements across edge, on-robot, and centralized deployments
• Build reusable reference architectures, best-practice guides, deployment blueprints, and enablement assets that help partners deliver faster.

Solutions Architect, Physical AI and Robotics

• Partner Alignment: Serve as the main technical contact for sophisticated AI collaborators, leading in-depth technical relationships and coordinating their roadmaps with NVIDIA's platform and emerging technology.
• Architectural Leadership: Lead end-to-end prototyping engagements by defining requirements and crafting reference architectures that guide partners from initial concept to production-ready handoffs.
• Applied AI Engineering: Build and architect enterprise-grade agentic AI systems, retrieval-augmented generation (RAG) pipelines, and multi-modal workflows, delivering high-performance, GPU-accelerated inference at scale.
• Technical Problem Solving: Diagnose and resolve intricate system issues and performance bottlenecks across the full AI stack, from initial model selection to large-scale deployment.
• Scalable Asset Creation: Produce reusable technical assets, including implementation guides and benchmarks, that accelerate time-to-value for both partners and their customers.
• Multi-functional Collaboration: Work alongside NVIDIA’s internal engineering, research, and product teams to resolve critical partner challenges and speed up shared achievements.
• Team Growth and Practice Building: Champion team guidelines for technical reviews and discovery, while mentoring new members and participating in hiring panels to expand the team’s depth.
• Continuous Innovation: Commit to continuous professional growth through formal AI/ML certifications and special projects that elevate your value within the NVIDIA ecosystem.

Senior Solutions Architect, Generative AI Specialist

Engineering Manager

• Own the delivery, quality, and security posture of root-of-trust firmware across NVIDIA’s data center compute platforms, from architecture through production release.
• Lead, mentor, and grow a distributed team of senior firmware and security engineers, fostering a culture of autonomy, accountability, and continuous learning.
• Drive adoption of modern software engineering practices: rigorous code review, robust CI/CD pipelines, automated testing and fuzzing for security-critical code paths, and systematic threat modeling.
• Champion an AI-forward engineering culture — actively using and encouraging AI coding assistants, automated analysis tools, and LLM-assisted workflows to improve team velocity and code quality.
• Establish and maintain effective asynchronous-first communication practices that enable a geographically distributed team to collaborate with clarity and minimal friction across time zones.
• Partner with security architects, hardware engineers, system software teams, and data center customers to define requirements, review designs, and ensure the firmware stack meets NVIDIA’s highest reliability and security standards.
• Own project planning and execution: manage milestones, track risks, communicate status clearly to senior leadership, and make rapid decisions when priorities conflict.
• Drive continuous improvement in engineering processes, tooling, and team structure — identifying bottlenecks and acting decisively to improve throughput and morale.

Manager, Software Engineering – Security Firmware

Full-stack Engineer

• Design and implement runtime features that orchestrate the lifecycle of runtime components across thousands of Kubernetes clusters without manual intervention
• Build and maintain the systems that configure, package, validate, and distribute accelerated compute components
• Develop Kubernetes controllers, CRDs, and operators that automate runtime installation, upgrade, and rollback operations with API driven workflows

Senior Software Engineer – Accelerated Kubernetes Runtime

Engineer

• Responsible for support and debug of physical implementation GPU and SOC reticle-sized chips, coordinating with the PNR team to achieve SOL tape-out – including feedback recognition and correlation.
• Determining physical verification methodologies to improve workflow efficiency and timely issue detection.
• Integrate new workflows and checks into larger workflow automation systems.
• Participate in developing physical verification flows for new technologies - DRC, LVS, Antenna flows - improving automation and expert workflows.
• TSMC A16 rules and tape-out experience is preferred.

Senior Physical Verification Engineer, VLSI Implementation

• Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking AI solutions
• Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications
• Crafting and evaluating DevOps automation scripts for network operations, crafting network architectures, and developing switch fabric configurations.
• Implementing tasks related to network configuration and validation for data centers.
• Create Methods of Procedure and deployment documents
• Validate network architectures and configs in the lab
• Interact with customers to obtain required information to design and build an optimal solution
• Use software tools to validate and monitor network performance

Senior Solutions Architect, Ethernet Networking

• Own the creation of scalable datacenter solutions for enterprise AI/ML systems
• Craft detailed requirements for pioneering infrastructure patterns and datacenter wide architectures
• Create and validate cluster designs, optimizing them for enterprise facilities
• Collaborate closely with other experts in compute, software, and storage to drive innovation
• Lead multi-disciplinary projects, addressing high-level goals and complex challenges
• Engineer on-premises cloud-native solutions that flawlessly integrate with diverse cloud providers
• Assume a pivotal role for the compute and hardware architecture domain, driving expertise and excellence
• Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN (local area networking), WAN (wide area networking), WiFi, and SD (software-defined) networks
• Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness

Senior Solutions Architect – Enterprise AI

• Partner with our industry and account teams in a customer facing role 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 teach others.
• Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
• Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.

Senior Solutions Architect, Supercomputing

• Function as the chief technical representative for advanced AI partners, handling detailed technical interactions and synchronizing their roadmaps with NVIDIA's platform and emerging technology
• Lead end-to-end prototyping engagements by defining requirements and crafting reference architectures that guide partners from initial concept to production-ready handoffs
• Architect and build enterprise-grade agentic AI systems, RAG pipelines, and multi-modal workflows, ensuring high-performance, GPU-accelerated inference at scale
• Diagnose and resolve intricate system issues and performance bottlenecks across the full AI stack, from initial model selection to large-scale deployment
• Produce reusable technical assets, including implementation guides and benchmarks, that accelerate time-to-value for both partners and their customers
• Collaborate with NVIDIA’s internal engineering, research, and product teams to resolve critical partner issues and speed up shared success
• Champion team guidelines for technical reviews and discovery, while mentoring new members and participating in hiring panels to expand the team’s depth
• Commit to continuous professional growth through formal AI/ML certifications and special projects that elevate your value within the NVIDIA ecosystem

• 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

DevOps Engineer

• Driving day-to-day interactions with NVIDIA wide IT subsystems, ensuring smooth operational workflows across infrastructure and applications.
• Crafting and maintaining GitLab CI/CD pipelines to automate build, test, and deployment workflows.
• Monitoring system health, building/maintaining dashboards, creating alerts, and producing operational reports.
• Performing user offboarding, access reviews, and compliance-related tasks across multiple systems.
• Drive interactions with various IT subsystems, ensuring API performance and integration stability meet defined SLAs and SLOs.
• Coordinating changes and releases between engineering, operations, and security teams.
• Enforcing security guidelines, managing vulnerability remediation, and collaborating with security teams on audits and assessments.
• Maintaining documentation, SOPs, and process improvements to enhance operational maturity.

Senior Cloud Operations Engineer

Technical Program Manager

• Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives
• Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
• Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions
• Report on overall program status, providing insights and recommendations to senior management and drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes
• Work with multi-functional matrixed teams, guide teams designing for advanced, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions
• Act as liaison between developers and customers, between technical and non-technical audiences and cultivate a culture of continuous improvement, finding opportunities for process enhancements

Senior Technical Program Manager, ML Software

Senior Technical Program Manager, AI Software

Mechanical Engineer

• Architect system and silicon features to enhance performance, power efficiency, and thermal behavior.
• Drive improvements in V/F curves, Vmin, TGP, speed grading, and thermal envelopes through co-design.
• Design chip, system, and package-aware features that enhance testability, coverage, and yield.
• Define manufacturing-aware methodologies linking test, SRAM behavior, binning, and package constraints to product performance.
• Co-design test strategies and screening methods to reduce overkill, test time, and miscorrelation.
• Operate across the full lifecycle—from system architecture and pre-silicon strategy to post-silicon success.
• Translate ambiguous product requirements into executable architectures and validation plans.
• Leverage AI tools to accelerate engineering work while applying strong judgment on when to trust, verify, or override outputs.

Senior Solutions Architect, AI, HPC

Solutions Architect, Physical AI and Robotics

Senior Solutions Architect, Generative AI Specialist

Manager, Software Engineering – Security Firmware

Senior Software Engineer – Accelerated Kubernetes Runtime

Senior Physical Verification Engineer, VLSI Implementation

Senior Solutions Architect, Ethernet Networking

Senior Solutions Architect – Enterprise AI

Senior Solutions Architect, Supercomputing

Senior Solutions Architect, Generative AI Specialist

Senior Software Engineer, Developer Tools for Cloud

Senior Cloud Operations Engineer

Senior Technical Program Manager, ML Software

Senior Technical Program Manager, AI Software

Senior System – Manufacturing Co-Design Engineer, AI-Enabled