NVIDIA

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

Infrastructure Engineer

• 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

Full-stack Engineer

• 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.

Senior System Software Architect, Enterprise Reference Architectures

Security Engineer

• Build and enforce security controls, systems, and policies for cluster infrastructure of new NVIDIA hardware.
• Identify, assess, and reduce cybersecurity risks; report major risks clearly to leadership.
• Develop and lead incident response and disaster recovery plans.
• Investigate security incidents and drive root-cause analysis.
• Ensure systems meet IT, legal, regulatory, and information security standards.
• Improve security governance, documentation, and audit readiness.
• Train peers and users on practical security standard methodologies.
• Work with infrastructure, networking, storage, OS, firmware, and application teams to harden systems.

Senior Security Architect

Production Engineer

• You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads.
• This includes working on custom software related to GPU asset provisioning, configuration, and lifecycle management across cloud providers.
• Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets.
• You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
• Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance.
• Evaluating system failures and improving services based on a well-defined incident management process.

Senior Production Engineer – DGX Cloud

DevOps Engineer

• Design, implement and support operational and reliability aspects of large scale Observability & Telemetry collection platform with a focus 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
• Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity
• Practice sustainable incident response and blameless postmortems
• Be part of an on call rotation to support production systems

Principal Site Reliability Engineer – Observability, Telemetry Platform

Graphics Designer

• Teaming up with creative directors, art directors, graphic designers, copywriters, and account managers designing presentations and other assets
• Collaborating with top executives to create amazing keynotes and campaigns for important communications
• Building all in-house with the internal creative team

Graphic Designer – PowerPoint Presentation

Backend Engineer

• Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.
• Be exposed and work on a variety of challenging designs (including high cell count and HS blocks).
• Resolving complex timing and congestion problems.
• Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.
• Taking part in flows development.

Physical Design Backend Engineer

Engineer

• Design and implement comprehensive verification plans and automated environments using Python
• Lead end-to-end feature validation
• Identify, analyze, and report software defects
• Drive improvements for performance, quality, stability around SW acceleration solutions
• Stay up to date with industry best practices

Software Verification Engineer

• Develop the verification process, aligning with quality standards and project timelines.
• Design and implement new features in the core of NVIDIA Switch and GPUs.
• Drive and facilitate the planning, scheduling, and execution of the project and activities of the team.
• Collaborate with architecture and different software design teams as part of the software development lifecycle.
• Work in pre and post-silicon development environments of next-generation NVIDIA networking products.
• Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship.
• Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view.

Software Engineer – NVLink GPU Networking

• Design and implement innovative features for our GPU performance profiling tools.
• Collaborate and interact with other teams within NVIDIA, including the GPU HW team, the compiler team, and well as other developer tools teams.
• Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the world.

Senior Systems Software Engineer, CUDA GPU Profiler

• Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software.
• Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale.
• Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments.
• Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces.
• Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization.
• Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs.
• Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments.
• Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development.
• Make high-quality technical decisions in ambiguous environments, balancing customer needs, schedule, hardware realities, software maintainability, open source adoption, and long-term infrastructure evolution.