NVIDIA

Architect

• Develop high-fidelity analytical performance models to prototype emerging algorithmic techniques & hardware optimizations to drive model-hardware co-design Nemotron family of models.
• Prioritize features to guide future software and hardware roadmap based on detailed performance modeling and analysis.
• Model end-to-end performance impact of emerging GenAI workflows - such as Speculative Decoding, Agentic Pipelines, Inference-time compute scaling, RL etc. – to understand future datacenter needs.
• Keep up with the latest DL research and collaborate with diverse teams, including DL researchers, hardware architects, and software engineers.

Senior Performance Architect

Infrastructure Engineer

• Build, develop, deploy, optimize, and document backend infrastructure features.
• Collaborate with engineering and product teams across the stack
• Drive adoption and frictionless integration of the stack
• Ensure a high level of architectural quality, performance in the developed code and features
• Debugging and fixing deficiencies
• Support members of other teams / clients as they adopt the technology developed
• Support the technology on multiple hardware platforms
• Partnering and collaborating with peers and managers

Senior Software Engineer, Infrastructure Engineering

Research Scientist

• Developing automated quantum error correcting code discovery protocols and pipelines.
• Using AI and automation to identify novel quantum error correcting codes that achieve high-performance across encoding rate, error suppression, and system realizability.
• Integrating various classical machine learning methods for identifying high-performance code constructions, as well as building bespoke machine learning models tailored to high-performance code design.
• Building out methods to identify high-performance error correcting codes that directly incorporate hardware constraints of various types of physical systems.
• Analyzing and evaluating the performance of fault-tolerant circuits implementing quantum error correcting logic and memory using analysis and simulation tools.

Quantum Research Scientist Intern

Program Manager

• Responsible for overseeing operational programs and projects that support logistics processes and partner performance; setting goals and 3PL performance objectives and driving performance improvement activities with suppliers and cross functional teams to assure operations efficiency, speed, and productivity.
• Develop and deliver initiatives and assignments from inception to close-out, on time and within scope and budget.
• Lead and maintain efficient delivery of all services.
• Develop recommendations and presentations to Executive Management on matters pertaining to operational changes, rule and process updates, incident investigation and response, long term strategies, and engineering project operations impacts.
• Own the development of logistics programs, including building out future AI/automation capability.
• Lead continuous improvement initiatives (Lean, Six Sigma tools) to reduce cost, cycle time, failures, and optimization, while increasing capacity and quality.
• Develop capacity planning and inventory strategies based on projected demand to support product launches and seasonal demand spikes, in addition to leading organizational change; ramping new sites and/or lanes, rollout of new systems (TMS, ERP integrations), SOPs, training, and governance.
• Collaborate in the development, implementation, and administration of business continuity plans (disruption mitigation, contingency carriers, accidents, emergencies, inclement weather, natural disasters, and geopolitical events) and business continuity related communication for internal and external partners.
• Coordinate cross-functional collaborators (product, engineering, sales, finance, customer success, global trade, tax, IT, security) to align service SLAs with supplier commercial commitments.
• Evaluate, develop, recommend, and communicate new or revised policies, programs, and procedures that impact cross functional operations, including policies, Standard Operating Procedures (SOP), communication protocols, business processes, and development of Key Performance Indicators and reporting.

North America Logistics Execution Program Manager

Full-stack Engineer

• Design and develop an automation platform used to provision, configure, and monitor HPC data centers.
• Implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.
• Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.
• Improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.
• Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.
• Work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.
• Participate in code reviews, technical design discussions, and continuous improvement activities within the team.

Senior Software Engineer – Infrastructure & Network Automation

• Lead the implementation of performance practices in large-scale GPU infrastructure, delivering powerful tools, methodologies, and flows to validate and improve multiple datacenter products concurrently.
• Align next-generation AI workloads with next-generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware.
• Engage early with HW/FW/SW/platform internal and customer teams.
• Develop engineering solutions that provide continuous insights into the performance of AI workloads in evolving environments, generating swift insights into improvements and regressions.
• Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards identifying the root cause.
• Participate in collaborations with various SW and FW teams (BMC/SBIOS/OS/drivers, etc.) to develop outstanding methods and tools.
• Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale.

Senior Systems Software Engineer – GPU Performance

Designer

• Join Tel-Aviv/Beer-Sheva group, working on verification in the field of encryption accelerators.
• Verification of chip blocks/entities according to specifications under challenging constraints and with high orientation to power, area and performance.
• Daily work will involve verification and might involve any or all aspects of chip development including micro-architecture.
• Work closely with firmware and other groups around the globe.

Senior Chip Design Verification Engineer

Developer Relations

• Own the product roadmap and delivery for a specific NVCF platform features — such as agentic workflow support and harness / agent integrations.
• Drive deep technical engagement with NVCF design-partners to translate Developer pain into features and integration partnerships.
• Collaborate with the NVCF open-source developer community — prioritizing GitHub issues, gathering feedback, supporting contributors, and channeling community signal back into the roadmap.
• Collaborate with engineering on feature design, prioritization, execution, and architecture tradeoffs.
• Align cross-functionally with other Product, Engineering, Product Marketing, and Field teams on requirements, roadmaps, messaging, and engagements.

Senior Product Manager – Platform and Developer Experience

Product Manager

• Collaborating with customers to build the software component products
• Tracking emerging trends in the AI Infrastructure space
• Supporting product marketing in crafting software component-specific messaging
• Collaborating closely with internal engineering, infrastructure, and developer experience teams
• Facilitating feedback loops between our platform and model builders
• Work with executives to launch new products

Senior Product Manager – DSX Software, Networking

Account Manager

• As an Account Manager, you’ll be a key partner to our digital health clients, helping them use NVIDIA’s AI platform to solve their most complex problems and achieve their goals.
• Be the primary point of contact and build strong, lasting relationships with a select group of Digital Health ISVs, Providers, and Payers.
• Grow NVIDIA's presence and platform adoption across client technology and development teams.
• Build key accounts into strategic partners by proactively establishing relationships across CXO, IT and developers growing engagement with NVIDIA.
• Clearly communicate the value of NVIDIA's accelerated computing platform (including hardware, software, development tools, and application frameworks) to clients, potential clients, and partners.
• Manage all aspects of strategy creation and implementation, forecasting, and client engagement.
• Shown success collaborating with ISVs, hyperscalers, OEMs, GSIs, and other partners to scale NVIDIA’s footprint.
• Enterprise account experience handling complex engagements and leading cross-functional teams.
• Contributing to the long-term success of our team by being a collaborative leader among your peers.
• Consistently seeking to improve and reinvent yourself.
• Ability to travel up to 25%

Senior Account Manager – Digital Health Accounts

Data Analyst

• Partner with collaborators to understand use cases, define scope, and capture detailed requirements
• Map business requirements to existing data structures, identify data gaps, and drive solutions with data and system owners
• Develop user requirements and success criteria; partner with engineers to segment work into tasks and handle backlogs
• Lead end-to-end delivery of analytics projects, including planning, prioritization, execution tracking, and communication with collaborators
• Support building and deployment of data pipelines and models, including large time series datasets (e.g., power/utilization, telemetry, capacity metrics)
• Define baselines, validation criteria, and data quality checks to ensure trust in metrics, dashboards, and reports
• Help define and refine benchmarks and reporting that provide insight into data center capacity, utilization, health, and operational efficiency.

Technical Project Manager, Data Analytics – Data Center Operations

• managing the architecture of a full-stack release management platform, advancing it to accommodate multi-tenant, multi-environment systems across multiple hardware platforms
• crafting hierarchical domain models and state machines that manage complex lifecycles and multi-axis promotion flows
• architecting robust ingestion and reconciliation pipelines, ensuring data fidelity and compliance across various representations
• defining and integrating a comprehensive validation, promotion, and gating model with our automated sanity stages and customer-release pipelines
• establishing a strict separation between authoring and production environments, ensuring data integrity and sanitization
• setting standards for API build, authentication, RBAC, audit logging, and observability across the platform
• leading frontend architecture for a sophisticated authoring and review experience, handling complex tabular editing and bulk operations
• driving platform onboarding workflows, defining consistent naming schemes, validation rules, and notification topologies for new hardware platforms
• mentoring engineers, conducting architecture reviews, and raising the technical bar across multiple engineering domains
• partnering with product, TPM, release managers, and other collaborators to align on roadmaps, capacity, and operational ownership
• defining and managing deployment, rollout, and incident-response models, including database migration strategies and clear on-call runbooks and continuously evaluating and incorporating emerging tools, frameworks, and patterns to improve the platform's capabilities.

Principal Release Infrastructure Architect

Technical Program Manager

• Own end-to-end program management for Chip Tools, beginning with Fuse, ensuring reliability, uptime, and performance meet the needs of hardware engineering teams across the chip development lifecycle.
• Drive tool health initiatives: define SLOs, track incidents, lead root cause analysis, and deliver on improvement roadmaps that reduce friction and prevent recurrence.
• Build and maintain a dependency map across Chip Tools -understanding upstream and downstream relationships to surface risk, handle conflicts, and ensure alignment with the chip roadmap.
• Partner with HW engineering leads to translate the chip development roadmap into tool readiness requirements; proactively identify gaps and mobilize engineering resources to close them.
• Facilitate cross-team coordination across tool developers, infrastructure teams, and HW users -running structured program reviews, tracking action items, and holding teams accountable to commitments.
• Develop and maintain dashboards and reporting mechanisms to give leadership and customers real-time insight into tool health, open risks, and delivery status.
• Find opportunities to evolve Chip Tools from reactive support into a proactive, system-focused operating model - and build the processes to get there.
• Onboard new tools into the Chip Tools portfolio as the scope expands beyond Fuse, establishing consistent standards for program management, change control, and incident response.

Senior Technical Program Manager, Chip Tools

• Design and build fullstack features with React/Next.js and Go that empower developers to launch cloud GPU environments seamlessly
• Shape the developer experience through devtools-style thinking and customer empathy
• Own large product surface areas end-to-end — from UI/UX flows to cloud backend APIs
• Collaborate cross-functionally with design, product, and marketing to build great UX and landing surfaces
• Drive OSS contributions and cultivate community engagement with our open infrastructure libraries
• Architect scalable systems using Kubernetes, SQL, and protobuf-based APIs
• Define and uphold best practices for code quality, testing, and release processes

Enterprise Product Engineer – Fullstack

• Define and drive full-stack enterprise AI factory baseline architectures across compute, networking, storage, virtualization, orchestration, security, observability, and NVIDIA AI software to deliver on-prem cloud native-platform and cluster reference builds.
• Architect reference builds for end-to-end software systems and platforms based on scalable, portable, and resilient builds and drive evaluation of different platforms, capture information on differences in implementations, and conduct research on the platform behavior under different workloads.
• Work with Product Management, Product Architects, Engineering, Solution Architecture, Program Management, and field teams to develop product direction, architecture requirements, roadmap inputs, and execution plans.
• Develop and validate scalable cluster designs for enterprise AI/ML systems, including on-premises and hybrid-cloud deployments optimized for training, fine-tuning, inference, agentic AI, physical AI, and HPC workloads.
• Evaluate tradeoffs across performance, scalability, resiliency, manageability, security, power, cooling, cost, TCO, and operational complexity.
• Understand design patterns, fundamental business logic, component-based architecture, and evolutionary architecture.
• Build and detail comprehensive API strategies, middleware integrations, and orchestration workflows to ensure seamless communication across distributed enterprise software.
• Integrate with non-cloud technologies and third-party vendor products/services.