NVIDIA

HQ
Santa Clara
Total Offices: 13
21,960 Total Employees
Year Founded: 1993

NVIDIA Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers charitable contribution matching

Offers occupational accident insurance

Offers retiree health & medical

Provides adoption assistance

Provides family medical leave

Provides fertility benefits

Offers childcare benefits

Offers generous parental leave

Offers company equity

Offers performance bonuses

Offers employee stock purchase plan

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers healthcare on-site

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Offers travel concierge services

Office is pet friendly

Provides a mobile phone discount

Offers legal assistance

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Offers apprenticeship programs

Recently posted jobs

17 Hours AgoSaved
In-Office or Remote
2 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and deploy AI infrastructure solutions across NVIDIA cloud, partner, and hyperscale environments. Build distributed training, inference, and MLOps pipelines; manage Kubernetes-based GPU workloads; optimize performance, cost, and reliability; and implement observability and SLO/SLA monitoring. Provide hands-on technical support to strategic customers and partners, troubleshoot production issues, integrate enterprise systems, and create implementation guides, runbooks, and postmortems.
20 Hours AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design, build, and operate Go and Python tooling that validates GPU clusters across Kubernetes and Slurm. Develop certification systems, benchmarks, workload catalogs, provenance and evidence pipelines, platform integrations, and signed auditable results. Investigate performance and correctness issues across distributed AI infrastructure, contribute to open-source projects, and author technical documentation. The role requires deep Linux, container, Kubernetes, HPC, GPU, and distributed-systems expertise, with collaboration across internal teams and cloud partners.
23 Hours AgoSaved
In-Office
2 Locations
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Build and operate reliable full-stack features for NVIDIA’s AI Hub, spanning frontend, backend, and data layers. Own features from design through production support, improve system reliability and observability, collaborate with product and AI research stakeholders, participate in reviews and on-call rotations, and apply modern cloud infrastructure, deployment, testing, and monitoring practices.