NVIDIA

Supply Chain

• Leading and developing existing logistics leadership and global logistics staff, ensuring consistent training, compliance to standardized processes, tools, and reporting across regions and driving continuous improvement.
• Planning logistics support for Grace Blackwell and Vera Rubin product lines to meet build and deployment schedules.
• Providing operational and strategic oversight for 3PL warehouse partners, including SLAs, critical metrics, and regular business reviews.
• Ensuring robust media security, chain-of-custody, and audit/compliance readiness across all logistics maintained spaces.

Logistics Manager, Data Center Infrastructure

Backend Engineer

• Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs
• Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler
• Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
• Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools
• Get a chance to influence and work on new GPU architectures

Compiler Engineer, Backend GPU

Robotics

• Attain a minimum of 100% quota selling NVIDIA Robotics technologies to Enterprise and Manufacturing Accounts across the U.S.
• Build and roll out account methods to broaden NVIDIA’s reach within the Robotics and Industrial Automation ecosystem.
• Direct Computer 1 toward AI training.
• Reserve Computer 2 for simulation and digital twins.
• Dedicate Computer 3 to on-robot inference.
• Present NVIDIA Robotics and AI platform solutions, address objections, and skillfully negotiate and finalize complex deals both virtually and face-to-face.
• Work closely with the NVIDIA team of experts, including solution architects, business development, product, and marketing teams.
• Align customer needs with NVIDIA technologies.
• Build and maintain positive relationships with robotics OEMs, system integrators, cloud partners, and research institutions.
• Manage the full sales process — from qualification to deal closure — assisting customers in adopting NVIDIA solutions for automated systems, digital twins, and robotics driven by advanced technology.
• Understand customer workflows in robotic simulation, training, and deployment to deliver tailored value propositions.
• Maintain accurate forecasts and pipeline visibility using Salesforce.com to track performance and growth.

Enterprise Account Manager, Robotics

Cloud Engineer

• As a DGX Cloud Technical Program Manager, you'll be a key partner to our Engineering, Infrastructure, Software teams and their leadership, driving critical programs related to AI capacity enablement and management .
• You'll play a pivotal role in developing and maturing foundational capabilities and processes for DGX Cloud, spanning critical areas such as cluster/capacity bring-up including CPU, storage, networking and compute requirements to support GPUs.
• This is a dynamic, fast-paced environment where TPMs are expected to apply fungible skillsets to a range of high-impact programs across DGX Cloud.
• Collaborating closely with storage engineering and network engineering teams to define and communicate requirements to CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers).
• Drive alignment and a POR for capacity blocks based on workload needs.
• Drive early engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers) to understand their managed storage, network solutions and influence alignment with NVIDIA Cloud roadmap
• Gathering technical requirements, developing comprehensive roadmaps, establishing clear milestones, and ensuring adherence to our Product Lifecycle (PLC) process.
• Managing ongoing capacity operations and the engineering engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Provider) partners, collaborating closely with an SRE lead.
• Focus on availability, maintenance and other critical performance indicators.
• Partner closely within NVIDIA to understand workload requirements, related HW and infra needs, including speeds/feeds to optimize and infrastructure readiness with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers).
• Leveraging Jira and other program management platforms to instill rigor and structure in the management of engineering deliverables.
• Identifying and driving opportunities to onboard the adoption of third-party and in-house cloud infrastructure solutions for deployments, support, security, compliance and observability across DGX Cloud
• Establishing key performance indicators (KPIs) and quantitatively demonstrating the value and impact delivered by your programs.
• Proactively identifying, resolving, and mitigating risks and issues that could affect scope, schedule, and quality across all program aspects.
• Cultivating a culture of continuous improvement, consistently identifying opportunities for process enhancements within our cloud infrastructure operations.

Technical Program Manager, Cloud Infrastructure

Full-stack Engineer

• Writing high-performance, reliable, and maintainable code in Python.
• Building and running data pipelines using SQL and various ETL tools.
• Operating and maintaining automated systems and software in production environments.
• Collaborating with teams to integrate systems, diagnose issues, and implement fixes.
• Using the APIs of a diverse range of platforms to facilitate automation and data processes.
• Tracking and documenting changes and updates using version control systems, like Git.
• Interacting with Jira and Confluence for project management tracking, workflows, and documentation.
• Continuously improving our systems for scalability, security, and performance.

Senior Software Developer

Engineer

• Provide engineering solutions and prototypes to enable efficient resource management and job scheduling for large scale clusters
• Drive next generation requirements and features for schedulers in at scale clusters
• Ensure technical relationships with internal and external engineering teams
• Assist system architects and machine learning/deep learning engineers in building creative solutions based on NVIDIA technology
• Be an internal reference for scheduling and resource management concepts and methodologies among the NVIDIA technical community
• Test, evaluate, and benchmark new technologies and products and work with vendors, partners and peers to improve functionality and optimize performance

Senior HPC Scheduler Engineer

LLM Engineer

• Designing and implementing AI/LLM-powered systems to improve automation, design verification, and workflow efficiency
• Collaborating with multi-functional engineering teams to find opportunities for AI integration and performance optimization
• Developing and fine-tuning large language models tailored to semiconductor design and productivity applications
• Evaluating new frameworks, architectures, and tools to improve efficiencies powered by artificial intelligence across the organization
• Tracking and measuring AI impact using data-driven metrics to continuously refine solutions

Senior AI and LLM Engineer

• Own and evolve the build, packaging, and release infrastructure for Transformer Engine, ensuring reliable and reproducible delivery across platforms.
• Drive developer productivity improvements through better tooling, automation, and CI/CD pipelines.
• Maintain and improve the Python packaging of the Transformer Engine library, keeping pace with modern packaging standards and toolchains.
• Identify and resolve issues across the entire AI software stack.
• Engage with the open-source community as well as support enterprise customers and partners by delivering the benefits of NVIDIA’s latest hardware and software innovations.
• This is a development-focused role that drives software quality and reliability without on-call duties.

Senior Software Engineer – Developer Infrastructure, Deep Learning

SDET

• Architect, deploy, and operate automated test frameworks for distributed systems
• Develop integration, regression, and performance test suites for REST APIs, gRPC services, and event-driven components
• Compose CI/CD pipeline tools verifying functionality, reliability, and service interactions across environments
• Collaborate with developers to define microservice test strategies, fault-injection scenarios, resilience testing
• Triage test results, root cause test failures, or performance drops and drive fixes
• Drive continuous improvement of automation coverage, observability, and testing efficiency

Software Development Engineer in Test

• Work on CUDA Tile, a new tile-based programming model for NVIDIA GPUs.
• Design and implement compiler transformations.
• Develop MLIR-based dialects and lowering passes.
• Optimize the performance of tile-based kernels across multiple GPU architectures.
• Define public APIs and compiler interfaces.
• Craft and implement compiler and optimization techniques.

Senior Compiler Tools Engineer – CUDA Tile

• Apply your design, coding expertise, and creativity to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world
• Architect, and implement new features for new chips and new kernel features
• Coordinate with other teams to accomplish your work daily
• Help define forward-looking improvements to the CUDA APIs and programming model
• Write effective, maintainable, and well-tested kernel and userspace code
• Develop code for multiple Linux operating systems

Senior Software Engineer – CUDA, Unified Memory

Sales Operations Manager

• Lead the indirect rebate program for North America and Latin America (NALA), ensuring programs are completed accurately and on time.
• Build and manage rebate offer letters in Salesforce on a quarterly basis, and track acceptance and claims to closure.
• Maintain and update rebate program documentation, incorporating ongoing amendments and policy changes.
• Serve as the primary point of contact between NVIDIA and partners for all indirect rebate-related questions and issues.
• Provide onboarding, process training, and ongoing operational support to partners.
• Perform forecast accuracy analysis to support business decisions and improve predictability.
• Own partner analytics and operations for our top 5 partners, identifying insights and opportunities to drive scale.
• Deliver on-demand data analytics to the NALA Enterprise sales team.
• Support the NALA Sales team with ad hoc operational tasks and projects as needed.

Sales Operations Analyst

Systems Engineer

• Build and improve NuRec release automation: Drive down human effort and calendar time required to deliver software our customers can build their businesses on top of
• Ensure product security, licensing compliance, and SQA are integrated, reliable inputs to the release pipeline that allow for high-frequency, low-risk deployments
• Drive AI & Agentic Adoption in NuRec: Act as a bridge between NuRec and NVIDIA’s core agentic workflow teams
• Assess and adapt the latest AI processes and actively drive their integration into daily work
• Create repeatable packaging and publishing flows (containers, wheels, artifacts) with provenance, versioning, and rollback—supporting internal releases and distribution (e.g., NGC)

Senior Agentic Systems Engineer, Neural Graphics

Business Operations

• Own demand, supply, and risk production plans for optics in our networking business
• Lead all aspects of the “Optical Supply Chain” from both technical and business operations perspective
• Present to executive team on regular cadence, identify gaps and opportunities to optimize across the company
• Work closely with Product Management teams to define our new product roadmap, guide the marketing team on launch plans and supply availability, and recommend changes where needed
• Support the monthly forecasting process working with Sales teams and the Business Units and provide insight and guidance on what can be improved and optimized
• Work with Business Units, Engineering, and Sales on competitive analysis, roadmap, and product strategies
• Develop models and tools that provide insight into how we can steer our supply for maximum revenue contribution using a combination of business intelligence, data science, as well as advanced optimization tools.

Senior Director, Business Operations – Networking Optics

• Analyze, design, and implement optimized GPU algorithms for large-scale vector search, databases, and machine learning.
• Expand and improve the integration of NVIDIA cuVS into relevant high-level vector search libraries and vector databases.
• Drive performance analysis, benchmarking, and troubleshooting of associated libraries.
• Collaborate with a multi-functional team to understand requirements and implement or improve solutions.