nvidia

NVIDIA's GPU SW Kernel organization is seeking a Senior System Software Engineer to develop the next generation of AI systems for GPU software development. This role focuses on crafting agentic AI systems to enhance the quality and efficiency of GPU software, transforming promising projects into critical infrastructure. You will be part of a dynamic team that significantly impacts GPU release quality and sets new standards for AI-driven automation.

$184k - $357k

NVIDIA is seeking a motivated system software engineer with deep understanding of device drivers and strong C/C++ skills to work on the CUDA Driver. This core platform component accelerates general-purpose computation on the GPU. You will be an integral part of a team delivering features and improvements to realize the full potential of NVIDIA hardware across diverse workloads, including deep learning, scientific computation, data science, self-driving cars, video games, and virtual reality. You will use your design abilities, coding expertise, and creativity to craft elegant solutions to exciting problems and shape the future direction of CUDA.

$272k - $431k

NVIDIA is seeking a motivated system software engineer with deep understanding of device drivers and strong C/C++ skills to work on the CUDA Driver. This core component of our platform accelerates general-purpose computation on the GPU. You will be an integral part of a team delivering features and improvements to realize the full potential of NVIDIA hardware across diverse workloads, including deep learning, scientific computation, data science, gaming, and virtual reality. You will leverage your design abilities, coding expertise, and creativity to craft elegant solutions to exciting problems and shape the future direction of CUDA.

$184k - $357k

We are seeking senior engineers to contribute to the CUDA driver, a fundamental component for accelerating general-purpose computation on GPUs. This role involves enhancing features and improving performance to maximize NVIDIA hardware potential across diverse workloads, including deep learning, scientific computation, gaming, and virtual reality. The position requires strong system software programming, a deep understanding of operating systems and kernel programming, hardware architecture, and excellent communication skills. You will collaborate with hardware and software engineers to design, develop, debug, and deploy critical aspects of NVIDIA hardware and mobile system-on-chip devices. The work spans the entire development lifecycle, from design feedback and pre-silicon simulation to silicon bring-up and production software deployment.

$152k - $288k

NVIDIA is seeking a Distinguished Engineer to lead the new AI Safety & Security Engineering team. This role is foundational, focusing on building AI-powered tools to identify, validate, and patch software vulnerabilities. You will own the core harness architecture and establish engineering standards, guiding the program from prototypes to a production pipeline. Your technical roadmap will influence how NVIDIA designs, tests, and validates safety-critical AI systems. This position requires close collaboration with engineering managers, security partners, and evaluation teams, acting as a bridge between research and enterprise-grade software engineering. Teaching and mentorship are key components, involving design reviews and upholding high code quality and safety standards.

$320k - $489k

We are seeking Senior High Performance AI Engineers to develop the next generation of agentic AI systems within the CUDA ecosystem. This role involves working across the entire agentic AI stack, from model training and enhancement to designing agent architectures and multi-agent systems, and building the necessary systems, runtimes, and evaluation frameworks for effective large-scale deployment. You will contribute to intelligent agentic systems capable of reasoning, generating, optimizing, and operating across NVIDIA's accelerated computing infrastructure. This includes advancing model and agent capabilities, developing scalable agent systems and runtimes, creating high-fidelity training and evaluation environments, and collaborating on the co-design with NVIDIA's libraries, runtimes, compilers, and hardware. You will partner closely with internal NVIDIA software, model, and hardware teams to integrate new functionalities into NVIDIA products.

$152k - $242k

NVIDIA is seeking a Senior Developer Technology Engineer to work at the forefront of AI innovation, collaborating with industry partners and open-source projects to accelerate performance for agentic AI use cases. This role offers a unique opportunity to contribute to the next era of enterprise and consumer AI by optimizing applications on RTX and DGX SoCs, influencing next-generation platforms, and providing technical guidance. You will be instrumental in identifying and resolving performance bottlenecks across various workloads, working closely with system software, GPU driver, architecture, and research teams.

$152k - $288k

NVIDIA is seeking a Senior Software Engineer to specialize in Deep Learning Inference. This role involves designing, building, and optimizing GPU-accelerated software for AI applications, focusing on high-performance deep learning frameworks like SGLang and vLLM for efficient large-scale model serving and inference. You will contribute to improving these platforms, enabling the smooth deployment of advanced language models and working with the deep learning community to implement and release the latest algorithms. The work will concentrate on enhancing the performance of state-of-the-art LLM and Generative AI models across various NVIDIA accelerators, utilizing open-source tools and kernels for optimization.

$184k - $357k

NVIDIA is seeking a Principal Engineer to define and build core agentic identity capabilities that enable trusted AI agents across the company's internal ecosystem. This hands-on role involves translating complex problems into practical designs, prototyping solutions, and collaborating across identity, security, platform, and application teams to bring infrastructure into production. The goal is to evolve identity and security controls, originally designed for human users, to safely and reliably support non-human and agent-driven workflows as AI agents access tools, call APIs, and perform multi-step operations.

$240k - $380k

NVIDIA is seeking an ML Data Operations Lead to manage the operational lifecycle of datasets for autonomous vehicle development. This role involves partnering with ML engineers to understand their data needs, translating them into release requirements, coordinating execution with the engineering team, and ensuring reliable, transparent, and scalable delivery of versioned datasets. You will focus on operational ownership, investigating problems, assessing delivery risks, and ensuring clear validation, documentation, and communication for each release, rather than developing data pipelines.

$168k - $322k

NVIDIA is seeking a highly technical Engagement Lead to drive the integration of Generative and Agentic AI software with enterprise ISV partners. In this role, you will serve as a trusted advisor to Software Platform Architects and unite teams behind a unified technical vision. You will remain hands-on, designing and shipping production agentic systems for demanding workloads while accelerating the adoption of NVIDIA's stack across key business initiatives. This position requires versatility at the intersection of platform strategy, a strong AI/ML background with hands-on execution, and the communication skills to engage with senior leaders. It's a high-impact role offering broad skill development and exposure to the cutting edge of Agentic AI, with insights directly shaping NVIDIA's product development.

$224k - $431k

NVIDIA is seeking a skilled engineer to enhance, automate, and scale its Privileged Access Management (PAM) and Non-Human Identity (NHI) capabilities to meet the demands of the agentic era. This role will focus on improving existing platforms, simplifying user and operator experiences, and strengthening secure access controls for infrastructure, automation, service identities, and agentic workflows. As AI agents, coding agents, and autonomous workflows become more prevalent, this position is crucial for ensuring that privileged and infrastructure access services can scale securely with robust identity, authorization, observability, and auditability.

$168k - $270k

NVIDIA is seeking software engineers for the CUDA Tile team to work on a new tile-based programming model for their GPUs. This role involves designing and implementing compiler transformations, developing MLIR-based dialects and lowering passes, and optimizing the performance of tile-based kernels across various NVIDIA GPU architectures. The work includes defining public APIs, crafting compiler and optimization techniques, and general software engineering tasks. NVIDIA is a leading technology company transforming computer graphics, PC gaming, and accelerated computing, now focusing on AI to define the next era of computing.

$152k - $242k

NVIDIA is seeking a Principal EDA R&D Engineer to lead the research, architecture, and development of next-generation hardware formal verification tools. This role involves pioneering advancements in core formal verification engines, enhanced by Agentic AI frameworks. You will craft collaborative, autonomous AI agent networks to extend formal tools, enabling them to automatically break down large builds, coordinate solver strategies, synthesize complex properties, and debug execution traces at an unprecedented scale. The position demands deep algorithmic knowledge, rigorous industrial software engineering, and a proven track record of delivering production-grade EDA tools.

$232k - $368k

NVIDIA is seeking a Staff Site Reliability Engineer to join our AI Platform Runtime team. This role is crucial for designing, building, and maintaining large-scale production systems that ensure high efficiency and availability. You will leverage software and systems engineering practices, with a deep understanding of systems, networking, coding, databases, capacity management, and cloud technologies like Kubernetes. Your work will focus on ensuring maximum reliability and uptime for internal and external services, enabling developers to make changes safely, and optimizing performance and latency. We emphasize automation to eliminate manual work and improve the efficiency of production systems, fostering a culture of continuous improvement through blameless postmortems and proactive outage identification.

$168k - $334k

NVIDIA AI for Media is seeking outstanding engineers to join its team, focusing on building and optimizing real-time AI solutions for media and entertainment workflows. This role will involve setting the technical direction for content authenticity AI, architecting model and pipeline strategies for detecting synthetic and manipulated media, and making critical build-vs-adapt decisions. The team works on core technologies to solve ambitious computer vision and deep learning problems, aiming to deliver studio-quality audio and high-resolution video enhancement and effects.

$272k - $431k

NVIDIA's Site Reliability Engineering (SRE) team is seeking a Principal SRE to shape the technical direction of the company's AI Platform Runtime. This role involves leading reliability engineering initiatives across multiple organizations, solving complex enterprise-scale problems, and establishing architectural standards for critical AI-powered services. The Principal SRE will also drive the adoption of AI agents and skills to enhance platform operations and developer productivity. The team values intellectual curiosity, diversity, collaboration, and continuous learning through blameless analysis, encouraging bold thinking and impactful improvements.

NVIDIA is seeking a Deep Learning Software Infrastructure Engineer to advance its Autonomous Vehicles project. In this role, you will be responsible for building and scaling the training libraries and infrastructure necessary for end-to-end autonomous driving models. By enabling training on thousands of GPUs and massive datasets, you will significantly accelerate iteration speed and enhance safety, working collaboratively with research and platform teams across NVIDIA.

$224k - $431k

NVIDIA is seeking a Senior Validation Engineer to join the DGX Server Product Engineering Team. In this role, you will collaborate with a team of hardware and software engineers to develop and implement complex automated test plans for industry-leading GPU-accelerated computing products. You will be involved in system architecture, design, and performance modeling for new models and packages, as well as enabling GPU SKU bring-up, validation, and model enablement. A key part of the role involves developing and executing system-level stress and performance testing strategies using industry-leading Deep Learning/AI applications.

$136k - $259k

NVIDIA is seeking a Principal Scientist to lead the technical direction for synthetic data generation across its frontier model initiatives. This role involves defining and building open-source libraries within the NVIDIA NeMo ecosystem to create synthetic datasets for text, code, structured, and multimodal data. These datasets will be crucial for the pre- and post-training of large language models like Nemotron. The position blends hands-on software engineering with applied research in generative methods, requiring collaboration with various internal teams and external research labs.

$272k - $431k