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10,693 open listings · Page 421 of 428
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
NVIDIA
Santa Clara, CA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
2 locations
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $224,000 – $431,250
Lead a software engineering team developing the Cumulus Linux network operating system, focusing on infrastructure services, telemetry, and reliability features for AI and high-performance data centers. This role suits experienced engineering managers with deep Linux systems expertise who want to combine hands-on technical depth with people leadership in a strategic infrastructure domain.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · $184,000 – $287,500
This role leads the design and implementation of next-generation distributed storage infrastructure for NVIDIA's high-performance computing and AI workloads, requiring deep expertise in storage systems, Linux, and cloud-scale operations. It suits engineers with 8+ years building and optimizing large-scale storage solutions who want to influence the infrastructure powering GPU-accelerated computing at a major technology company.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · $152,000 – $287,500
NVIDIA seeks an engineer to optimize the electronic design automation workflows that power their chip development process, working across storage, compute, and networking infrastructure to enable faster innovation. The role combines deep systems knowledge with software engineering to build tools and metrics that hundreds of engineers depend on worldwide.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · $184,000 – $287,500
This role shapes the safety and validation strategy for NVIDIA's autonomous driving systems, requiring deep expertise in safety-critical systems engineering and the ability to translate customer needs into rigorous performance requirements across L3/L4 vehicles. It suits experienced engineers who combine systems thinking with hands-on software skills and can drive consensus across large organizations on complex technical trade-offs.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$272,000 – $431,250
NVIDIA is hiring a principal-level perception engineer to lead the design and deployment of 3D obstacle detection systems for autonomous vehicles, working across deep learning architecture, model optimization, and cross-functional coordination. This role suits someone with 15+ years shipping production perception systems who can balance hands-on technical work with mentoring and setting strategic direction.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$136,000 – $264,500
NVIDIA is looking for a verification engineer to validate their AI-accelerated SoCs used in autonomous vehicles and gaming systems, working across chip-level strategies and complex verification infrastructure. This role suits someone with deep ASIC verification expertise who can collaborate with architects and designers to ensure these cutting-edge processors meet rigorous functional requirements.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $168,000 – $258,750
This role involves designing and developing GPU and Tegra-based hardware systems for NVIDIA's diverse product portfolio, from data center servers to automotive and consumer electronics. You'll collaborate across teams to balance cost, performance, and schedule while handling schematic creation, PCB oversight, testing, and optimization of circuit designs.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
2 locations
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
2 locations
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · $152,000 – $287,500
NVIDIA is seeking a distributed systems engineer to design and operate automation platforms for their GPU and CPU compute infrastructure supporting chip-design workloads. The role combines software engineering with infrastructure operations, requiring expertise in Linux systems, large-scale deployment automation, and reliability engineering across geographically distributed environments.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$184,000 – $356,500
NVIDIA is seeking an infrastructure engineer to build scalable telemetry, observability, and inventory management systems that support their GPU cloud services and AI platforms. The role bridges product, infrastructure, and software engineering to create automated, intelligence-driven systems that improve operational visibility and reduce manual toil across NVIDIA's hardware and software infrastructure.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $272,000 – $431,250
This is a hands-on storage systems engineering role focused on designing and implementing block and distributed file storage for NVIDIA's cloud platform. The position suits experienced C developers who have deep Linux kernel expertise and want to architect next-generation storage infrastructure for AI workloads.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
NVIDIA is hiring a senior engineer to design and build distributed storage services optimized for AI/ML workloads, working across the company's graphics, autonomous vehicles, and deep learning divisions. You'll architect and deliver large-scale storage systems on Kubernetes, collaborating with research and product teams to create deployable, scalable cloud infrastructure.
Listed on NVIDIA’s careers site · Apply there ↗