NVIDIA, a pioneer in accelerated computing, revolutionized graphics with the GPU and is at the forefront of AI, gaming, and data-center innovations.
Santa Clara, CA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Remote · Canada, United States
Develop and manage automation software for NVIDIA's GPU Cloud and SuperPod deployments to enable efficient network design and lifecycle management. Collaborate with infrastructure experts to build scalable, zero-touch deployment solutions and integrate with various service APIs.
Remote · California, United States
You will lead the delivery of agentic AI systems to automate security operations, including detection, investigation, and response workflows. You will also provide technical direction for complex AI initiatives and drive them from experimentation through to production deployment.
Hybrid · Toronto
You will architect and implement high-performance AI inference stacks and optimize GPU kernels to serve large-scale models efficiently. Additionally, you will contribute to benchmarking methodologies and orchestrate containerized inference deployments across multi-cloud environments.
Hybrid · Toronto
Architect and implement high-performance inference software and optimize GPU kernels to serve large-scale models efficiently. Collaborate with cross-functional teams to integrate research techniques into production-grade, open-source inference frameworks like vLLM.
Remote · Canada, United States
The role involves bridging cutting-edge AI research with production-grade infrastructure by identifying, prototyping, and integrating agentic system methods. You will also design evaluation harnesses and secure workflows to ensure agent reliability and safety in enterprise environments.
Remote · United States, Canada
Architect, implement, and optimize production-grade GPU solutions for the cuEST quantum chemistry library. Collaborate with the broader community and internal teams to drive the adoption and development of GPU-accelerated electronic structure computations.
Hybrid · Toronto
You will partner with customers to optimize LLM serving architectures and performance through benchmarking and profiling. Additionally, you will contribute to open-source projects like vLLM and develop internal tools to improve team productivity.
On-site
NVIDIA’s LPU System Software team builds foundational software that enables deterministic, high-performance computing platforms by shifting complexity from silicon into software. We design and maintain the hardware abstraction layers, core system libraries, and runtime components that allow compiler teams and data center operators to safely and efficiently execute workloads on novel architectures. In this role, you will develop and evolve the libraries, drivers, and runtime interfaces that serve as key entry points into the platform. You will also help improve reliability and operability thro…
On-site
NVIDIA is a global leader in physical AI, powering self-driving cars, humanoid robots, intelligent environments, and medical devices. Our software platforms are central to this mission. We help innovators build products that save lives, enhance working conditions, and improve living standards globally! We are hiring a Senior Engineer to become part of our team as a technical authority in deep learning inference optimization for autonomous vehicles and robotics on edge hardware. This role requires a hands-on expert who can inspect model architectures down to the operator level. They will uncov…