NVIDIA
Senior Architect - Data Processing Systems, Analytics and Data Intelligence
Be an Early Applicant
Define and improve hardware and software architectures for NVIDIA data processing platforms. The role focuses on hardware-software co-design, full-stack performance optimization, benchmarking, workload analysis, system trade-offs, and collaboration with customers, partners, architects, and engineering teams to guide scalable accelerated computing solutions.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you ready to build the future of data processing with NVIDIA? As a Senior Architect in Data Processing Systems for Analytics and Data Intelligence (ADI), you'll define and improve hardware and software architectures for diverse set of data processing workloads. Join us in our mission to deliver outstanding performance at scale, using our accelerated data processing platform that combines CPUs, GPUs, high-bandwidth networking, and more!
What you'll be doing:
- Co-design future architectures for NVIDIA's data processing platforms, targeting performance, efficiency, and cost.
- Engage deeply with end users, open-source communities, ISVs, storage partners, and CSPs to improve their experience by incorporating customer insights into roadmaps and reference architectures.
- Drive full-stack performance optimization, from CUDA kernels and accelerated libraries to system-level IO, shuffle, compression, and data movement.
- Collaborate with CPU, GPU, and platform architects to shape hardware features using workload analysis for hardware-software co-design.
- Partner with internal teams to build and apply constraint-based frameworks and optimization solvers to navigate complex design trade-offs across competing metrics.
- Develop benchmarking frameworks to evaluate performance sensitivities and guide hardware-software co-optimization
- Analyze production workloads throughout the data processing landscape to identify compute motifs, IO patterns, and optimization opportunities across the full platform stack.
What we need to see:
- MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 8+ years of experience in distributed data platforms, databases, systems engineering, performance architecture, accelerated computing, or HW/SW co-design.
- Extensive knowledge in one or more of these areas: data processing systems (databases, query engines, or vector search), accelerated computing, high-performance IO, CPU/GPU architecture, or large-scale performance analysis.
- Experience evaluating system-level trade-offs: compute, IO provisioning, memory subsystem development, network topology, and storage tiering across diverse workloads a strong plus.
- Ability to translate sophisticated system analysis into clear, actionable recommendations for silicon architects, software engineers, and executive leadership.
- Ability to work across matrixed organizations to drive alignment and deliver results.
Ways to stand out from the crowd:
- Hands-on experience with GPU-accelerated data processing (cuDF, RAPIDS, cuVS, CUDA).
- Deep familiarity with structured data engines and/or vector database systems.
- Experience with mathematical optimization solvers and understanding of optimization fundamentals.
- Background in network/storage architecture.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Similar Jobs
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead end-to-end delivery of critical IT systems initiatives and integrations across identity, service management, infrastructure, collaboration, and compliance domains. Manage a project manager, coordinate cross-functional technical teams, unblock dependencies, define program metrics, build executive dashboards, drive user adoption, and communicate technical outcomes to business stakeholders. The role also oversees tooling consolidation, documentation, training, release communications, post-mortems, and enterprise IT roadmap execution.
Top Skills:
Atlassian ConfluenceAtlassian JiraAWSGoogle WorkspaceHexIdentity Governance And Administration (Iga)Mobile Device Management (Mdm)OktaPower BISailpointSecurity Agent ToolingServicenowSnowflake
Cloud • Security • Software • Cybersecurity • Automation
Lead product strategy and execution for GitLab’s software planning capabilities as development increasingly involves AI agents. Define how user intent becomes actionable work, determine where automation versus human involvement is appropriate, connect planning to business priorities and budgets, and shape roadmaps with engineering and design. Share ownership of work items, boards, specifications, and portfolio planning while influencing senior leaders and guiding decisions in an evolving product area.
Top Skills:
Artificial IntelligenceDevOpsDevsecopsGitlab
Edtech • Kids + Family • Social Impact • Software
Own the commercial growth plan for small accounts and improve BrainPOP’s e-commerce, subscription, onboarding, and expansion experiences. Responsibilities include funnel and cohort analysis, revenue forecasting, experimentation, marketing automation, journey design, segmentation, workflow optimization, and translating growth needs into product and integration requirements. The role leads cross-functional initiatives across Product, Engineering, RevOps, Data, Finance, Sales, and Customer Success, driving improvements from requirements through launch and measurement.
Top Skills:
Checkout SystemsGoogle AnalyticsNotionPardotSalesforce CRMSubscription Billing Systems
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
