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.
Télétravail · Canada
You will act as a trusted technical advisor to help customers design, deploy, and optimize large-scale AI training and inference infrastructure. Additionally, you will analyze performance data to identify system bottlenecks and collaborate with internal teams to drive product health.
Hybride · 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.
Télétravail · United States
You will be responsible for defining and implementing chip pad rings, substrate interconnect schemes, and leading the package layout design process. This role involves collaborating with cross-functional teams including circuit, signal integrity, RTL, and system design engineers to ensure robust electrical package performance.
Télétravail · 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.
Télétravail · California, United States
You will build and deploy sophisticated AI-powered tools to support the operation and optimization of the global GeForce NOW service. This involves developing LLM-based systems to automate root cause analysis and managing large-scale data pipelines for operational intelligence.
Télétravail · 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.
Télétravail · California, United States
You will lead strategic partnerships with Global Public Sector ISVs to accelerate the adoption and integration of NVIDIA AI technologies. This role involves driving account strategy, fostering executive-level relationships, and developing co-sell motions to scale revenue across government and public-sector ecosystems.
Télétravail · 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.
Hybride · Canada
The Product Manager will collaborate with community model builders to ensure seamless support and go-to-market alignment for open AI models. They will also work with internal engineering and marketing teams to craft messaging and enable best-in-class support across inference and fine-tuning workflows.
Télétravail · California, United States
Provide hands-on technical mentorship to customers on the NVIDIA GenAI stack and guide the development of Agentic AI workflows. Build demonstrations and POCs while partnering with engineering and sales teams to secure design wins.
Hybride · Toronto
Develop verification infrastructure and test plans to ensure the functional correctness and performance of the Tegra SoC Memory Subsystem IP. Collaborate with design and architecture teams to implement verification strategies and support post-silicon debug.
Télétravail · Canada, United States
The role involves managing international immigration processes for employees and candidates across EMEA, APAC, and Canada. Key duties include partnering with global vendors, guiding stakeholders on policies, and identifying process improvements to enhance the employee experience.
Hybride · Canada
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.
Télétravail · 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.
Télétravail · Canada, United States
Develop and harden a distributed systems platform providing secure, sandboxed runtimes for autonomous AI agents. This includes implementing network security, inference routing, and control plane systems while ensuring production observability.
Télétravail · Canada, United States
Partner with research universities to co-create innovative HPC and AI solutions using NVIDIA's accelerated computing platform. Architect ground-breaking workflows in computational physics and optimize AI training and inference workloads for scientific applications.
Télétravail · 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.
Télétravail · Canada
This role focuses on redefining AI hardware development methodology by inventing next-wave techniques, pioneering AI-driven automation for sophisticated ASIC conception, exploration, and closure. Responsibilities include taking a comprehensive view of the ASIC lifecycle to identify bottlenecks where automation and AI can improve convergence and turnaround time.
Hybride · 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.
Télétravail · Canada, United States
Drive the adoption of NVIDIA's AI and computing platforms by serving as a technical advisor to cloud provider and hosting ecosystems. You will integrate the NVIDIA software stack into partner products and collaborate with internal engineering teams to inform product roadmaps.