NVIDIA

Full-stack Engineer

• Build, operate, and continuously improve a scalable, cloud-based Virtual Desktop Infrastructure (VDI) platform.
• Design and implement automation for the end-to-end virtual desktop lifecycle using standardized tooling.
• Optimize a global VDI deployment for scalability, performance, reliability, and cost efficiency.
• Create, maintain, and support CI/CD pipelines for testing, validation, and deployment of configuration and software changes.
• Partner directly with end-users to solve issues, gather feedback, and deliver a seamless user experience.
• Collaborate with Client Engineering to ensure a consistent user experience across physical and virtual endpoints.

Senior Software Engineer – Virtual Desktop Infrastructure

Engineer

• Analyzing deep learning networks and developing compiler optimization algorithms.
• Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.
• Defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.

Senior Deep Learning Compiler Engineer

Application Engineer

• Serve as a technical specialist for desktop workstation GPU products, partnering with sales account managers to secure design wins and support the full product lifecycle from design-in to end-of-life.
• Build and maintain strong technical relationships with customer engineers, architects, and decision-makers at focus accounts, ensuring alignment on requirements and solutions.
• Identify customer architectures and key product needs in gaming and professional visualization markets, providing tailored hardware and software solutions, demos, and system designs.
• Deliver hands-on technical support and training, including onsite troubleshooting, sales enablement, and partner education to drive adoption and success.
• Foster collaboration and communication with internal teams, ensuring seamless execution and alignment across technical and sales functions.

Field Application Engineer – Desktop and Workstations

Account Manager

• Manage the NVIDIA product portfolio business of key partners and customers
• Ensure technical adoption of our technologies
• Align business objectives to NVIDIA’s objectives in various vertical markets
• Work closely with sales, marketing, engineering, and supply chain teams at customers
• Guide the development and execution of go-to-market business plans to exceed revenue goals
• Lead customer relationships by establishing relationships across customers including Executive teams, engineering teams, and sales and marketing teams
• Develop, define, and implement go-to-market and growth strategies to achieve sales goals and business objectives
• Collaborate with NVIDIA OEM Marketing team to drive and implement all NVIDIA Marketing Initiatives
• Become a trusted partner in the adoption of NVIDIA products and technologies with OEM partners
• Evangelize and socialize NVIDIA and customer solutions and successes with executives, technical sales, and implementers
• Be the OEM and customer advocate and liaison for product management and development.

OEM Account Manager

Solutions Engineer

• Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers
• Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins
• Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts
• Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions
• Provide on-site support to solve hardware and software problems, with a focus on deep learning inference
• Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness
• Actively maintain the NVIDIA side of infrastructure components and capture findings at the customer site
• Offer technical and sales training to direct sales teams and channel partners

Senior Solutions Architect, AI Factory Infrastructure Software Deployment

Security Engineer

• Manage the NVIDIA product portfolio business of key partners and customers.
• Ensure technical adoption of our technologies and align their business objectives to the business objectives of NVIDIA.
• Work closely with the sales, marketing, engineering and supply chain teams.
• Guide the development and execution of go-to-market business plans to exceed revenue goals.
• Establish relationships across customers including Executive team, engineering teams, and sales and marketing teams.
• Develop, define, and implement go-to-market and growth strategies to achieve sales goals.
• Enable our Partners by actively working with Partner engineering teams.
• Collaborate closely with NVIDIA Sales Account Managers and functional Business Unit teams.
• Provide guidance and alignment with NVIDIA Account Managers on strategic opportunities.
• Work with NVIDIA OEM Marketing team to drive and implement all NVIDIA Marketing Initiatives.
• Be a trusted partner in the adoption of NVIDIA products and technologies with OEM partners.
• Provide presales support for sales activities including needs analysis, data review, and product demonstrations.

OEM Account Manager, Cybersecurity

Cloud Engineer

• Design and optimize next generation horizontally scalable, highly performant multi-tenant network architecture with security in mind to support data center and AI Factory infrastructure at massive scale
• Implement the above SDN software as a part of a bigger NVIDIA software stack for AI Factory, working closely with NVIDIA compute, storage and other teams
• Design and develop OSS software for monitoring the overall network health, performance, and scalability
• The intelligence needs to be built into the system for tracking and regulating usage by various tenants, analyzing it, and taking appropriate actions

Principal System Software Engineer – Cloud Networking

Software Engineer

• Master NVIDIA's design and verification development environments, flows, and processes.
• Partner with board, silicon solutions, software, and applications engineering teams on validation requirements and methodologies.
• Refine validation flows by extending existing tools or developing new ones to qualify chip and product features, increasing coverage and efficiency.
• Learn the latest verification technologies, tools, and methods to drive continuous improvement.

Automation Tools Developer

• Develop open source software to serve inference of trained AI models running on GPUs
• Balance a variety of objectives including building robust, scalable, high performance software components to support distributed inference workloads
• Work with team leads to prioritize features and capabilities
• Load-balance asynchronous requests across available resources
• Optimize prediction throughput under latency constraints
• Integrate the latest open source technology

Senior System Software Engineer – Dynamo

Robotics

• Manage multi-track robotics programs with high-priority partners—defining outcomes, coordinating dependencies, and driving progress across developer relations, engineering, product, and research teams.
• Translate data workflows into structured plans of record (POR) with clear owners and milestones that accelerate the robotics ecosystem’s adoption of NVIDIA’s technology.
• Facilitate collaboration across different teams by leading weekly ecosystem meetings.
• Identify risks early, including product gaps, data issues, compute constraints, and resourcing needs.
• Coordinate mitigation plans with engineering and other relevant partners.
• Ensure ongoing, two-way communication that benefits developer relations, product, and research.
• Maintain documentation repositories for repeatable, scalable, and consistent communication as well as transparent reporting that demonstrates partner engagement with NVIDIA technology and progress toward team targets.
• Provide quality updates to collaborators and executive audiences.
• Ensure reports accurately reflect partner and ecosystem needs by sharing structured feedback with product, engineering, and research teams.

Senior Technical Program Manager – Robotics

• Engage with our partners and customers to root cause functional and performance issues reported with NCCL
• Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters
• Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.)
• Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters
• Document and conduct trainings/webinars for NCCL
• Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.

Senior System Software Engineer, NCCL – Partner Enablement

• Compose, implement, and optimize ETL pipelines to collect, clean, and prepare data from different sources
• Build end-to-end web applications that visualize data and streamline workflows
• Design and develop APIs and backend services that integrate data with front-end dashboards and tools, ensuring seamless integration and functionality
• Collaborate with internal teams and stakeholders to understand their workflows and methodologies and transform them into technical solutions
• Monitor, debug, and maintain data infrastructure for accuracy, speed, and reliability
• Ensure scalability, performance, and security across applications and data pipelines.

Full-Stack Developer, Workflow and Data Visualization

Designer

• Master NVIDIA's design and verification development environments, flows, and processes.
• Partner with board, silicon solutions, software, and applications engineering teams on validation requirements and methodologies.
• Research in-house or industry commercial design for verification applications.
• Refine validation flows by extending existing tools or developing new ones to qualify chip and product features, increasing coverage and efficiency.
• Help assess and optimize benchmarking tools to improve efficiency.
• Learn the latest verification technologies, tools, and methods to drive continuous improvement.

Datacenter Automation Tools Designer

• Design and develop APIs (GraphQL/REST) to orchestrate and integrate operational workflows.
• Build state management and workflow automation systems that streamline infrastructure lifecycle processes.
• Collaborate across teams to codify business processes into scalable, self-measuring systems.
• Develop extensible, schema-driven platforms for reducing manual toil and ensuring operational consistency.
• Drive integrations with container orchestration tools like Kubernetes and observability systems such as Prometheus, OpenTelemetry, Grafana.
• Optimize the reliability and efficiency of cloud operations through automated workflows and telemetry systems.
• Lead and ship impactful technical projects, ensuring quality and scalability at every stage

Senior Software Engineer, DGX Cloud Orchestration

• Analyze the performance of LLMs running on NVIDIA Compute Platforms using profiling, benchmarking, and performance analysis tools.
• Understand and find opportunities for compiler optimization pipelines, including IR-based compiler middle-end optimizations and kernel-level transformations.
• Design and develop new compiler passes and optimizations techniques to deliver best-in-class, robust, and maintainable compiler infrastructure and tools.
• Collaborate with hardware architecture, compiler, and kernel teams to understand how firmware and circuitry co-design enables efficient LLM inference.
• Work with globally distributed teams across compiler, kernel, hardware, and framework domains to investigate performance issues and contribute to solutions.