NVIDIA

Solutions Engineer

• Partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and to help define and deliver high-value solutions meeting these needs.
• Work to design NVIDIA's HW/SW into next-generation software-defined medical devices, AI-enabled clinical applications, and advanced healthcare product platforms.
• Stay up to date on the state of the art in medical image analysis, sensor processing, clinical AI, digital health, and surgical data science to apply the latest advancements in the field to customer needs.
• Support customers to optimize workloads using NVIDIA’s computing platform.
• Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
• Partner strategically with lighthouse customers and industry-specific solution partners targeting our computing platform.

Senior Solution Architect – Medical Devices

• Partner with account teams and customers to identify high-value Physical AI and robotics opportunities, define technical strategies, and map NVIDIA platform capabilities to customer goals.
• Design NVIDIA hardware and software into next-generation medical and surgical robotics systems, intelligent instruments, and healthcare robotics platforms.
• Build proof-of-concept demos and reference workflows for AI-enabled robotics, including robot perception, planning, manipulation, agentic workflows, synthetic data generation, simulation, and Sim2Real validation.
• Help customers build, simulate, train, deploy, and optimize robotics and AI workloads using NVIDIA platforms, including Omniverse, Isaac Sim, Isaac Lab, and NVIDIA inference software.
• Stay current on Physical AI, embodied AI, robot learning, agentic AI, surgical robotics, and simulation first development, and translate relevant advances into practical customer solutions.
• Create technical collateral and training for customers, partners, and internal teams, including whitepapers, blogs, wiki articles, workshops, and hands-on technical sessions.
• Establish relationships with strategic customers and robotics ecosystem partners through remote collaboration and selective travel.

Senior Solution Architect – Physical AI, Medical and Surgical Robotics

Technical Project Manager

• Establish and maintain effective working relationships with all stakeholders
• Understand the high and low level technical architecture and be able to facilitate debate and drive decisions on appropriate solutions
• Ensure that company requirements are produced to standard in a timely manner
• Develop & present comprehensive technical solutions to customers
• Communicate and hold conference calls with internal teams, customers, and partners
• Manage complex installations
• Report and escalate all observed problems to proper operational escalation points
• Manage the communication of project’s changes and release notices to customers
• Document technical and operational procedures clearly and concisely
• Be willing to work irregular hours as required

Project Technical Delivery Manager

Engineer

• Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.
• End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.
• System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.
• Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.
• Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.
• Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
• Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

Senior Software Verification Engineer

Full-stack Engineer

• Design, develop, test, and optimize software for our next-generation SoCs.
• Review architectural performance bottlenecks for various system wide work loads.
• Identify HW/SW policies to drive performance and performance/watt leadership.
• Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology.
• Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors.
• Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs

Senior System Software Engineer – Performance

• Design, develop, test, and optimize software for our next-generation SoCs, in both pre-silicon and post-silicon phases of execution
• Analyze and identify performance bottlenecks in the SOC
• Communicate analysis documents and information to internal and/or external audiences about our technology
• Conduct competitive analysis comparing architecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors
• Develop tools and use benchmarks to analyze performance

System Software Engineer – Performance

Engineering Manager

• Lead and grow a team of software engineers developing next-generation networking management and orchestration tools
• Own execution and delivery of major cross-functional initiatives involving multiple engineering teams and stakeholders
• Drive technical strategy, architecture decisions, and long-term roadmap planning for networking management solutions
• Partner closely with software, networking, firmware, hardware, DevOps, and system architecture teams to deliver scalable and reliable solutions
• Establish engineering best practices, operational excellence, and high development standards across the team
• Provide hands-on technical guidance, debugging support, and architectural direction when required

Manager, Software Engineering – Networking Management

• Drive board/system level signal and power integrity requirements
• Lead board/system SI/PI design activities, including PCB stackup/material selection, design guide implementation, layout review, and post-layout analysis
• Work closely with Architecture, ASIC, Mixed Signal, Package, and PCB Design teams to design and ensure system SI/PI performance meets expectation before Gerber out, also work closely with Design Validation teams to support SI/PI failure analysis
• Develop novel algorithms & new methodologies to improve SI/PI modeling efforts
• Work with Application Engineering teams to support customers w/ SI/PI questions
• VNA & TDR measurements to support model correlation efforts and improve confidence in design stage

Senior Signal and Power Integrity Engineer

• Primary responsibilities will include building AI/HPC infrastructure for new and existing customers.
• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Senior Solutions Architect – Infiniband, Networking, Ethernet

Technical Program Manager

• Define and drive schedules, surface dependencies before they block work, and own multi-functional alignment from architecture review through tape-out.
• Accountable for delivery, not only oversight.
• Participate in critical design reviews, flag scope and integration risks early, and make trade-off calls others depend on — schedule vs. quality, coverage vs. velocity, design change vs. firmware workaround.
• Act as the primary technical link across silicon, systems, software, operations, and marketing.
• Identify technical and schedule risks early, build mitigations with engineering, and move work forward with clarity and context.
• Capture lessons from completed programs and put in place changes that measurably improve speed, quality, and predictability — not just documentation of what happened.

Senior Technical Program Manager – Silicon Co-design

Hardware Engineer

• Build, architect, develop, and debug critical firmware running in the GPU OOBHUB, prioritizing robust peripheral control and secure communication interfaces.
• Build and optimize high-reliability firmware update mechanisms and telemetry systems for next-generation GPU subsystems.
• Collaborate closely with hardware architects and ASIC designers to initiate new silicon, defining firmware-hardware interfaces and communication protocols.
• Implement secure, modern firmware solutions, bringing to bear high-reliability languages and principles to ensure system stability.
• Partner with internal software, hardware, and infrastructure teams to transform brand new architectural features from concepts into production-ready firmware.

Senior Firmware Engineer – GPU

Client Partner

• Gain strategic alignment with OEM Channel, GSI, leadership & resources and influence their plans & investments w/ the partner ecosystem to proliferate NVIDIA SW & solution stacks through them
• Focus on specific OEM partners with services capabilities including SDPs, GSIs and key Solution Providers to demonstrate NVIDIA SW & OEM solutions to deliver AI Infrastructure and application services offerings to Enterprises
• Develop a trusted advisor relationship with OEM partner leadership
• Plan regular business reviews, EBCs to help update & keep them current on latest NVIDIA trends, technologies and messaging
• Identify & align leaders/teams on a focused set of partners & joint programs to drive pipeline, and incremental sales
• Identify enablement needs, align OEM+NVIDIA resources and & engage with the Field Sales teams at channel partners and ensure AI capability readiness through AI Advisors, Roadshows, Webinars, Virtual Events, etc.
• Work w/ OEM & NVIDIA cross functional teams to produce executable plans, with joint investments that improve value for NVIDIA via incremental pipeline & revenue
• Develop programmatic approach to scaling out ISV based AI solutions in key industry segments through target partners
• Continual personal development is required in this very fast-moving market
• Keep up to date with the latest technological developments particularly with respect to AI Enterprise Workflows and Software
• Also, key to keep pace with partner ecosystem (NVIDIA Partner Network) and Industry partner trends

Partner Development Manager

SEO Marketing

• Design, implement, and maintain CI/CD pipelines for building OS images across Ubuntu and RHEL distributions
• Build unit testing and integration testing frameworks using Go and Python
• Optimize CI/CD infrastructure using Jenkins and GitlabCI
• Implement infrastructure as code with Terraform and work with Kubevirt for virtualized workloads
• Create and maintain Ubuntu and RHEL packaging solutions (deb/rpm)
• Identify infrastructure improvements and implement metrics gathering systems for KPIs and dashboards
• Champion automation initiatives to achieve 100% end-to-end automation across developer and release workflows

Senior Software Engineer – BaseOS

Architect

• Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management
• Participating in performance simulation of features to improve memory access efficiency
• Implementing and maintaining high-level functional and performance models
• Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations
• Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement
• Creating architectural specifications and customer-facing documents
• Debugging performance and functional issues with high-level models, RTL simulation, and silicon

Senior GPU Memory Architect

• Study workloads for a wide range of markets, including CSP, HPC, AI / DL, and autonomous vehicles.
• Develop infrastructure to visualize CPU performance bottlenecks on important workloads.
• Develop performance analysis tools.
• Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.
• Work with CPU architects to improve future CPU and system designs based on findings.