NVIDIA

Solutions Engineer

• Guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks.
• Delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs.
• Collaborating with executives and engineering to solve complex problems.
• Helping bring NVIDIA's premiere technologies to life in the cloud and in the datacenter.

Senior Solutions Architect, NPN

Program Manager

• Drive Cross-Functional Execution: Provide horizontal leadership across R&D, Project Management, and Operations teams to deliver complex programs, resolve high-priority customer concerns, and ensure global alignment on objectives.
• Act as a Trusted Partner to Internal R&D Customers: Build strong relationships with internal customers to understand operational and capacity needs and translate them into clear, actionable deployment and execution plans.
• Own Program Communication & Visibility: Develop and present executive-level updates, dashboards, and Quarterly Business Reviews (QBRs) to communicate program health, risks, and outcomes.
• Enable Strategic Alignment & Road Mapping: Facilitate customer discussions to align priorities and ensure initiatives support long-term business objectives.
• Optimize Capacity & Resource Planning: Build and manage resource models to forecast demand, prevent bottlenecks, and support large-scale infrastructure deployments.
• Lead Issue Management & Resolution: Intake, prioritize, and drive closure of customer-reported concerns, ensuring accountability and timely resolution across teams.

Senior Customer Program Manager – Datacenter Engineering, Operations

• Managing and developing a group of infrastructure and HPC specialists
• Providing guidance and support to partners, helping them successfully deploy and bring up AI Factories
• Helping our partners employ our best practices and reference architectures and taking your knowledge out to the field
• Raising and providing timely advance alerts of critical customer issues that need further focus

Manager, Solutions Architecture – Data Center Specialists

Full-stack Engineer

• Use design abilities and coding expertise to deliver the best compute platform in the world
• Craft elegant solutions to exciting problems and shape the future direction of CUDA
• Evangelize, architect, and implement new features related to CUDA’s memory model and multi-node scalability geared towards next-gen AI applications and deployments
• Coordinate and drive development efforts across multiple teams
• Help define forward-looking improvements to the CUDA APIs and programming model
• Write effective, maintainable, and well-tested code
• Develop code for multiple operating systems

Senior Systems Software Engineer, CUDA Driver – Multi-Node and Memory Model

• Ensure on-schedule completion of large-scale AI Factory rollouts with leading global NVIDIA Cloud Partners.
• Coordinate timelines, schedules, and proactively forecasts for power, cooling, and energy equipment while ensuring site readiness.
• Work closely with engineering, business operation supply chain, and customer teams worldwide.
• Coordinate all aspects of DSX reference architecture—energy systems, cooling and power solutions, and material logistics.
• Communicate consistently with collaborators and executives, tracking important metrics and mitigating risks.

Customer Program Manager – Global AI Factory

Architect

• Define the long-term technical roadmap for communication libraries across NVIDIA’s next-generation platforms
• Lead the development of next-generation communication primitives and collective algorithms
• Partner with application developers to architect and implement specialized communication primitives
• Collaborate with silicon architects and software engineers to influence hardware specifications for next-generation networking
• Develop high-fidelity analytical models and simulators to predict system behavior under emerging workloads

Principal Deep Learning Communication Architect

Engineer

• Analyze performance degradation or functional defect of compilers, identify regression root cause, suggest corrective action, and perform reviews to continuously improve testing.
• Automate compiler testing using NVIDIA test frameworks and by programming. Includes test execution, test reporting, and results analysis and automation of build and test environments.
• Work with software compiler developers and assist in providing automated solutions for unit testing.
• Utilize test suites to find, report and track compiler performance changes.
• Work with development team to drive regressions to resolution.
• Generate statistics based on performance data, identify and investigate outliers and monitor performance trends.
• Maintain historical data and baselines for comparison.
• Develop and review test plans, implement test cases, automate tests, integrate tests into NVIDIA test management frameworks, port 3rd party testing, and author test reports. May include integrating already existing tests into the compiler test automation.
• Utilize current iterative planning and test development processes. As part of team, identify potential or observed weaknesses in current process, offer ideas for actions that can improve quality, and participate in quality initiatives.

Compiler Verification Engineer, Compute Performance – GPU

• Work closely with the architecture and different software and hardware design teams.
• Working on new features for NVIDIA NIC and Switch firmware, which are integrated to NVIDIA's Data Centers, Mainly in PnP world.
• Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.
• Collaborate with multi-functional teams including chip design, board designers, Silicon, SW and program managers to debug any FW/validation issues.
• Heavily involved with the early modeling and simulation required to produce our outstanding products including schematic and layout reviews on next generation board designs.

Senior Firmware Verification Engineer

Systems Engineer

• Design and develop high performance networking solutions based on NVIDIA's outstanding Bluefield networking cards hardware
• Engage closely with customers and partners.
• Collaborate with multiple teams in our multi-functional environment on developing new features/improvements.
• Stay up to date with industry best practices, new technologies, and emerging trends in software verification.
• Write fast, effective, maintainable, reliable and well documented code
• Innovate! Bring NVIDIA's DPU products to shine in customer's view

Software Embedded Engineer, DOCA

• Contribute to the design and development of diagnostic tools and frameworks using Python for NVIDIA’s networking platforms.
• Assist in developing efficient and scalable software, learning how to optimize performance for high-throughput systems and real-time monitoring.
• Help develop features that connect hardware behavior with software-level diagnostics and analysis.
• Work closely with hardware, firmware, and driver teams to solve real-world technical challenges.
• Gain exposure to the full software development lifecycle, from understanding hardware specifications to deployment and validation.

Software Engineer – Networking Platforms, Diagnostics Tools, Performance

Account Manager

• responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training and education to a select number of enterprise customers
• Be the key point of contact and relationship owner for a defined set of customers!
• Build key accounts into strategic partners, and drive sustaining revenue, market share growth and product footprint
• Work closely with customer, and ecosystem partners in a “sell with motion” to build and execute go-to-market plans to accelerate growth and adoption of the enterprise product family
• Building winning capabilities and leading change.
• Experience working with Cloud or large enterprise software customers.
• Contributing to the long term success of US Enterprise by being a collaborative leader amongst your peers.
• Consistently striving to improve and reinvent yourself.
• Evangelize the use of NVIDIA's platform, products and technologies to your customers and partners.
• Ability to travel as needed as much as 25%.

Senior Account Manager – CSP

• Serve as NVIDIA's technical SME, engaging with internal and external stakeholders, customers, users and product teams to design developer tools, APIs, and workflows for chemistry and materials science.
• Work across organizations to shape and prioritize features for NVIDIA ALCHEMI and related software efforts.
• Translate advances in ML interatomic potentials, generative modeling, and quantum chemistry into product direction.
• Bring together inputs from researchers, partners, and internal teams to guide priorities.
• Represent NVIDIA at leading scientific conferences, workshops, and industry events.

Senior Architect

• Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA’s reference architecture for data center infrastructure including power distribution, cooling systems, controls and monitoring, and network/cabling architecture.
• Support customers and partners in quickly implementing this architecture into sophisticated and reliable data center builds.
• Collaborate across the org to build processes, partner relationships and workflows to deliver and deploy large AI factories at speed of light (SOL).
• Review and appraise customers' and partners' infrastructure build plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements.
• Delivering mentorship, expertise and suggestions to optimize performance, scalability, and cost-effectiveness.
• Review the operational efficiency, reliability, and readiness of data center infrastructure elements before initiating AI/HPC cluster deployments.
• Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks.
• Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components.
• Develop partner-facing playbooks, deployment guides, and guideline documentation specific to AI factory implementations using NVIDIA reference builds.
• Provide hands-on mentorship to partners on deploying NVIDIA AI factory; conduct workshops and develop runbooks to build partners expertise.
• Serve as the representative of the customer/partner within NVIDIA, conveying field insights, deployment challenges, and optimization opportunities to NVIDIA internal and product engineering teams to support the seamless integration of data center infrastructure solutions.

Senior Solutions Architect – Data Center Buildouts

• Closely coordinate with the OEM Global Account Managers (GAMs) in order to work on prioritized customer platforms, software stacks and solutions that map to critical business priorities
• Work with OEM partners to architect enterprise grade storage solutions with a focus on scalable performance and data durability
• Training OEM technologists and field specialists on AI storage and networking solution offerings from NVIDIA.
• Work as a key member of our OEM team as a technical authority on NVIDIA products
• Some travel to conferences and customers may be required (20%)

Solutions Architect – AI Networking, Storage

Manager

• Lead a world-class team of software engineers to deliver innovative real-time user mode drivers that enable breakthrough performance in high-performance solutions for NVIDIA's GPUs and display technologies.
• Create and own team strategy, roadmaps, and schedules.
• Provide architectural and technical guidance to the team and ensure that the best engineering practices are followed.
• Work closely with HW teams to architect graphics and display system software and bring-up next generation chips
• Review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are operating in the most efficient and transparent manner.
• Collaborate with peer engineering teams, and program/product management to ensure that product requirements, goals and objectives are met or exceeded.
• Mentor and guide the professional and technical development of the team members.