Support HR functions across APAC rotations, learning and applying HR practices in a leading tech company.
Responsibilities
Collaborate with people-focused and technical teams
Provide outstanding customer service
Develop strong partnering relationships across all levels of the organization
Requirements
Bachelor's or Master's degree in Human Resources, Business Administration, or a related field with a focus in Organizational Development, Strategy, and/or HR Analytics
Nice to have: PHR certification
Nice to have: Additional APAC language (e.g., Japanese or Korean)
Nice to have: Experience with immigration, relocation and HR compliance
Nice to have: First experience in regional or international projects
Lead global payroll integrations for acquisitions and advance U.S. Payroll operations at NVIDIA.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 136,000 USD – 218,500 USD for Level 3; and 168,000 USD – 270,250 USD for Level 4.
Responsibilities
Lead acquisition payroll integrations across regions
Collaborate with regional Payroll, Corporate Development, HR, Legal, Corporate Tax, Finance, Stock Administration, and IT
Oversee post-close payroll activities
Lead data conversion, validation, testing, reconciliation, and cutover to NVIDIA’s payroll platforms
Establish interim controls and coordinate legacy record retention
Requirements
Bachelor's degree in Business, Accounting, Finance or Economics
Design and build the AI data layer for a multi-cloud GPU fleet, including data placement, caching, tiering, and lifecycle management on Kubernetes and Slurm.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Responsibilities
Design and build the AI data layer for a multi-cloud GPU fleet
Build high-throughput data paths for training and RL
Build Kubernetes-native APIs, operators and storage integrations
Own quotas, capacity and data lifecycle across hundreds of research teams
Measure workloads use of data and build I/O telemetry
Requirements
BS or MS in Computer Science, Computer Engineering, Electrical Engineering or a related field, or equivalent experience
Lead expert in data and platform engineering for NVIDIA's DGX Cloud organization, responsible for designing, building, and operating the DGXC Data Platform.
Compensation
NVIDIA offers highly competitive salaries and a comprehensive benefits package.
Responsibilities
Define architecture and roadmap for ingestion, processing, storage, and data serving
Lead delivery across platform engineers, data producers, and consumers
Build and operate batch and streaming ingestion capabilities
Establish data contracts, quality monitoring, and certification
Guide cataloging, lineage, and governed access
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Lead NeMo Relay, an open-source library that helps developers observe and control what happens inside agent runs, focusing on agentic AI libraries and reference architectures.
Compensation
The expected base salary ranges for this position are: 168,000 USD – 258,750 USD for Level 4; and 208,000 USD – 327,750 USD for Level 5.
Responsibilities
Take charge of the vision, strategy, and multi-release roadmap for NeMo Relay as a framework-neutral library partners can embed, addressing lifecycle events, middleware, plugins, policy, observability, and adaptive performance tuning.
Drive adoption through integrations with agent frameworks, coding-agent harnesses, observability vendors, and ISVs, and build the examples that show developers how to use Relay in real systems.
Partner with the teams behind NeMo Guardrails, NeMo Fabric, NeMo Compass and OpenShell to make Relay work seamlessly with their components.
Turn open-source community and ecosystem feedback into prioritized product decisions.
Work with engineering and program management to plan releases and keep roadmap communications accurate.
Requirements
BS or MS in Computer Science
BS or MS in Electrical Engineering
Nice to have: History of taking an open-source project from early releases to broad ecosystem adoption
Lead product strategy and partner engagement for NVIDIA networking solutions with OEM partners.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 208,000 USD – 327,750 USD for Level 5; and 240,000 USD – 379,500 USD for Level 6.
Responsibilities
Define and complete networking product strategies for assigned OEM partners
Lead product engagement between NVIDIA Networking Business Unit and OEM teams
Drive build wins across adapters, DPUs, and switches
Translate technical capabilities into product positioning for AI, HPC, and enterprise workloads
Orchestrate qualification and launch readiness across engineering, software, validation, operations, support, and marketing teams
Requirements
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field
Lead product strategy, roadmap, and requirements for Infrastructure Developer Tools for DSX/DGXC, enabling AI infrastructure ecosystem.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 240,000 USD – 379,500 USD.
Responsibilities
Take ownership of product strategy, roadmap, and requirements
Track emerging trends and assess technical differentiators
Support product marketing and documentation
Collaborate with engineering and developer experience teams
Facilitate feedback loops with platform and model builders
Requirements
Bachelor's or Master's in engineering, computer science, or equivalent
Design and build automation systems for GPU-accelerated Kubernetes runtime distributions.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Design and implement runtime features that orchestrate the lifecycle of runtime components across thousands of Kubernetes clusters without manual intervention
Build and maintain the systems that configure, package, validate, and distribute accelerated compute components
Develop Kubernetes controllers, CRDs, and operators that automate runtime installation, upgrade, and rollback operations with API driven workflows
Lead engineering build activities for new NVIDIA products, managing multi‑functional teams to plan and execute hardware prototype builds.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 136,000 USD – 212,750 USD for Level 3; and 168,000 USD – 258,750 USD for Level 4.
Responsibilities
Create and update plans to achieve project objectives
Identify and track key milestones, evaluate and acquire resources
Determine accurate prototype counts for each group
This role turns priority major ISVs operating globally and within EMEA, along with cloud ecosystem partners, into practical routes for NVIDIA software adoption. The person leads the partnership at senior management level, drives the commercial agenda, qualifies integration opportunities, coordinates technical and commercial enablement, and runs promote-and-scale motions that attach NVIDIA software to enterprise customer outcomes.
Responsibilities
Identify and prioritize enterprise ISVs, global ISVs, cloud providers, and marketplace partners where NVIDIA software can become part of the partner platform or customer workload.
Own and refine partner account plans with executive owners, target workloads, integration priorities, commercial path, field action, promote-and-scale achievements, and proof-of-value opportunities.
Translate global ISV strategy into EMEA execution plans with clear countries, industries, workloads, seller actions, and customer adoption targets.
Coordinate developer relations, AI-native teams, solution architects, product, marketing, field, legal, and partner engineering teams to remove integration blockers and accelerate adoption.
Position NVIDIA libraries and frameworks, including CUDA-X, NIM, NeMo, Agent Toolkit, TensorRT-LLM, Triton, Run:ai, Mission Control, and GPU-accelerated data/inference pipelines, into partner products and narratives.
Requirements
BS/MS or equivalent experience in Business, Computer Science, Engineering, or a related field