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 · United States
You will lead and manage OEM technical field teams to ensure the successful execution of new product integrations and end-to-end solutions. This role involves coordinating cross-functional efforts, resolving complex customer issues, and influencing OEM account strategy.
On-site · Toronto
The intern will develop AI-driven quantum algorithms, generative models for chemistry, and agentic AI systems. They will also contribute to self-driving lab robotics and present research findings at technical and industry conferences.
Remote · Canada
You will lead and develop a distributed team of security and infrastructure engineers to build scalable security solutions for a massive GPU fleet. The role involves setting technical strategy, fostering a culture of operational excellence, and communicating complex risk profiles to executive leadership.
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 design and scale deep learning infrastructure libraries to support autonomous vehicle training on massive GPU clusters. This involves optimizing training pipelines, improving data loader efficiency, and collaborating with research teams to enhance model experimentation.
Remote · Canada
You will architect and build foundational security primitives and automated guardrails to protect large-scale AI infrastructure. The role involves designing production-grade security services and integrating them into the CI/CD pipeline to ensure platform integrity.
On-site · Toronto
You will serve as a technical advisor to academic AI labs, identifying high-impact research workloads and facilitating the adoption of NVIDIA's accelerated computing platforms. Additionally, you will partner with internal engineering and product teams to translate academic feedback into actionable insights for platform strategy and roadmaps.
Hybrid
The role involves designing novel GPU and system architectures to advance AI Inference performance and efficiency, alongside constructing, investigating, and testing popular deep learning algorithms and applications. Responsibilities also include building efficient power and performance models of the AI inference stack to guide next-generation hardware architecture.
Remote · United States
You will lead the technical strategy and architecture for DGX Cloud full stack integration, focusing on the interface between hardware, firmware, and system software. This role involves collaborating cross-functionally to deliver scalable, secure, and high-performance accelerated computing solutions across diverse datacenter environments.
Remote · United States
Lead developer relations for quantum computing across federal research programs by driving adoption of NVIDIA's quantum SDKs. Act as a technical bridge between mission scientists and NVIDIA's engineering teams to solve high-impact research problems.
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 · Canada, United States
Serve as a technical advisor to security companies to drive the adoption of NVIDIA's software stack for AI and Agentic environments. Collaborate with internal engineering and product teams to influence roadmaps based on developer feedback and ecosystem trends.
Remote · Canada
As a Senior Formal Verification Engineer, you will verify ASICs using formal verification tools and define the verification scope to ensure correctness. You will collaborate with various teams to resolve design issues and improve verification methodologies.
Hybrid · Toronto
Responsible for the verification of high-speed coherent interconnect designs, architectures, and golden models. This includes developing verification infrastructure such as testbenches, BFMs, and checkers while collaborating with architects and designers.
On-site
At NVIDIA, we are are redefining the future of computing! From accelerated AI to large scale infrastructure, the security of our platforms and data is critical to everything we build. On the Security Platform Engineering team, we focus on building the data foundations that power detection, automation, and AI driven security operations across the company. How does raw security telemetry become usable intelligence? We build the platform that makes it possible. This role helps design and operate the security data platform that transforms signals from endpoint, identity, network, and cloud enviro…
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.
On-site
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are looking for a Quantum Research Scientist Intern to work at the intersection of design, cal…
Remote · Canada
As a key member of the ASIC Verification team, you will verify the design and implementation of the inference accelerator. You will collaborate with architects, designers, and verification teams to ensure the correctness of the design.
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…
