AI Engineering Jobs in San Francisco

NVIDIA is seeking a System Software Engineer specializing in Agentic Retrieval to join our team at the forefront of the AI revolution. You will develop pipelines for indexing and querying multi-modal content, working with Generative AI, LLM, VLLM, and Agentic Retrieval technologies on our innovative hardware and software platforms. This role is crucial for accelerating containerized pipelines for high-quality multi-modal datasets and enhancing retrieval efficacy. You will focus on developing efficient, scalable systems for data processing, deduplication, filtering, and classification for tailored models, with an emphasis on iterative testing and improvement in system cost, speed, and accuracy through micro-optimization, prompt engineering, fine-tuning, and applying new research.

$184k - $357k

NVIDIA is seeking an AI Engineering Manager to join the Finance AI team. This role involves leading a team of AI engineers to develop AI solutions for Finance operations and evaluate external finance AI solutions. You will guide your team in applying technology to solve complex problems, direct agent development, and integrate new tools and technologies. This is an opportunity to make a significant impact by defining the next era of computing through AI within the finance domain.

$200k - $322k

NVIDIA is seeking a Senior Applied Power Architect to join our Applied Power Architecture team. You will be instrumental in developing state-of-the-art GPUs for AI, Automotive, GeForce, and Mobile products. This role involves inventing methodologies, features, and techniques to tackle electrical, speed, and power challenges for next-generation AI architectures. You will drive power management initiatives to optimize efficiency and performance while adhering to electrical, thermal, and power constraints. The position requires a deep understanding of process characteristics and their impact on voltage-frequency (V-F) tradeoffs, as well as investigating multi-die technologies and proposing innovative solutions for packaging, interconnect, physical design, electrical, and thermal challenges. Collaboration with cross-functional teams, including ASIC designers and packaging experts, is essential for formulating effective solutions.

$168k - $311k

NVIDIA's Math Libraries team is seeking a senior engineer to contribute to kernel generation for AI and HPC, focusing on matrix operations, JITing, and fusions. This role involves developing GPU-accelerated mathematical libraries that power advancements in AI, scientific simulations, and data analytics across various industries. You will be instrumental in enabling leading organizations to revolutionize fields like healthcare, NLP, VR, and autonomous vehicles.

$184k - $357k

NVIDIA is seeking exceptional engineers to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. This role focuses on AI 2.0, leveraging LLMs, VLMs, and VLAs to enhance reasoning, planning, and interactivity in autonomous vehicles and robotics. You will be instrumental in building the future of autonomy by developing and integrating advanced AI models into mass-production vehicles.

$184k - $357k

NVIDIA is at the forefront of visual and AI computing, driven by our pioneering work with GPUs. We are seeking a GPU PCIe and Boot Architect to join our team and design the architecture and infrastructure for critical system functions including boot, PCIe/CXL enumeration, and capability discovery. This role involves collaborating with global software, hardware, and verification teams to shape the next generation of GPUs, creating functional and performance models, and supporting post-silicon validation. If you are creative, autonomous, and passionate about building the industry's highest-performance chips, we encourage you to apply.

$108k - $196k

NVIDIA is seeking software engineers for the CUDA Tile team to support a new tile-based programming model for NVIDIA LPUs. This role involves designing and implementing compiler transformations, developing MLIR-based dialects and lowering passes, and optimizing the performance of tile-based kernels for various NVIDIA GPU and LPU architectures. The scope includes defining public APIs, crafting optimization techniques, and general software engineering. NVIDIA offers competitive salaries, equity, and a comprehensive benefits package, making it a desirable employer in the technology industry.

$152k - $242k

NVIDIA is seeking a Senior System Simulation Architect to drive the development of CPU architectures for AI, deep learning, high-performance computing, gaming, virtual reality, and autonomous vehicles. This role involves developing and integrating full-system functional models, bringing up system and application software in simulation and emulation, and supporting CPU architects and performance engineers. The position is crucial for pushing performance boundaries for NVIDIA's CPU products and integrating them seamlessly with NVIDIA's broader technology stack to enable faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

$184k - $357k

We are seeking a Manager of Data & AI Engineering to lead the development of our next-generation autonomous data intelligence platform for Supply Chain Operations. This role requires a blend of deep technical expertise, strong delivery leadership, and people management skills. You will be responsible for identifying high-impact opportunities, architecting, building, and productionizing solutions that deliver significant business value. The ideal candidate will have hands-on experience in architecture and engineering, coupled with the ability to manage a high-performing team and collaborate effectively with business stakeholders to translate operational challenges into innovative data and AI solutions.

$200k - $322k

NVIDIA's Autonomous Systems and Physical AI Research (ASPIRE) group is seeking top Research Scientists to advance the field of intelligent machines for autonomous vehicles, robotics, and physical AI. This role focuses on fundamental research challenges, including developing new training paradigms, ensuring safety and reliability in critical applications, enabling navigation in novel environments, and building systems that reason and interact safely with humans and other agents. Researchers are encouraged to publish their work and contribute to open-source projects, collaborating with internal product teams and external researchers to influence real-world products while pursuing groundbreaking research.

$168k - $265k

NVIDIA is seeking Senior Deep Learning Scientists to advance their work in streaming and agentic multimodal AI. This role involves developing models capable of reasoning, planning, and acting across diverse modalities, with a focus on defining core algorithmic improvements for multimodal foundation models. You will contribute to high-impact, large language models and multimodal AI products that enhance user experiences, working within the Nemotron LLM team to solve real-world agentic AI challenges.

$184k - $288k

NVIDIA is seeking a Senior MLOps Engineering Manager to lead the build, development, and operation of large-scale, end-to-end data and ML pipelines that power the company's autonomous driving products. This role involves leading a highly technical engineering team responsible for building and operating cloud-scale pipelines that ingest, validate, process, and transform multimodal sensor data into high-quality training, evaluation, and validation datasets. These pipelines are foundational to the autonomous vehicle program and directly enable customer-facing autonomy features. The ideal candidate will be a seasoned engineering leader with strong ownership and a passion for customer-focused development, capable of scaling systems and teams in a fast-paced, multi-functional environment.

$272k - $431k

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of hardware. The ideal candidate will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt and performance per millimeter. A broad perspective across computer architecture and depth in power, performance, and area (PPA) analysis is highly desirable. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company.

$272k - $431k

We are the GPU Communications Libraries and Networking team at NVIDIA, responsible for delivering critical communication libraries like NCCL, NVSHMEM, and UCX for Deep Learning and High-Performance Computing (HPC) applications. These applications demand immense compute power and operate at scales involving tens of thousands of GPUs, connected via high-speed interconnects and networking. Communication performance is paramount, directly impacting end-to-end application performance, especially at massive scales. We are seeking a technical leader to manage our NVSHMEM and UCX libraries, offering an exceptional opportunity to advance the state-of-the-art and develop groundbreaking platforms.

$184k - $357k

NVIDIA is seeking a Senior Verification Engineer to join their Display Team, focusing on verifying the world's foremost GPU and SoC display engines. In this role, you will collaborate with Architects and ASIC Engineers to own testplan development, verification sign-off, and infrastructure. The goal is to deliver high-quality IPs that power NVIDIA products across various markets, including consumer, professional, automotive, and AI. You will leverage agentic AI to enhance efficiency in tasks like testplan development, automation, and debug.

$168k - $311k

NVIDIA is seeking a Senior Applied AI Engineer to develop intelligent software systems aimed at enhancing engineering productivity and software quality at scale. This role involves creating AI-powered workflows and services to analyze complex code, extract meaningful insights from large engineering datasets, and accelerate debugging and decision-making processes. You will operate at the intersection of software engineering, machine learning, and developer productivity, transforming advanced AI capabilities into practical, reliable tools for real-world engineering environments.

$152k - $242k

We are seeking a Senior Developer Relations Manager to build the developer ecosystem around NVIDIA Dynamo, an open-source framework for distributed AI inference. In this senior individual contributor role, you will help developers deploy and operate inference systems, build practical technical resources, and represent developer needs both in the community and inside NVIDIA. You will build the ecosystem with various inference projects through joint demos, integration guides, upstream contributions, and community programs. You will also develop runnable demos, sample code, technical documentation, and videos to explain Dynamo’s modular ecosystem and demonstrate its data center performance value. Additionally, you will represent the developer community inside NVIDIA by translating feedback into engineering and product requirements, influencing priorities, and communicating progress back to developers. You will advocate externally through technical talks, live demos, workshops, and office hours, helping developers troubleshoot real deployments and contribute to projects.

$184k - $357k

Step into a role where you can make a significant impact on the future of autonomous vehicles. As a Senior Software Engineer, ML Loop - Automotive at NVIDIA, you will be at the forefront of our data flywheel operation. This is your opportunity to work with hardworking individuals and pioneer innovative technologies to contribute to world-class solutions. Embrace this outstanding opportunity to be part of NVIDIA's ambitious journey and help craft the future of autonomous driving through outstanding data engineering.

$168k - $270k

NVIDIA is seeking a Deep Learning Compiler Engineer to join its Deep Learning Compiler (DLC) team. This role involves developing and optimizing compiler algorithms for deep learning networks, which are crucial for NVIDIA's inference engine across various platforms. The compiler is designed to deliver leading inference performance, fast build times, reduced memory footprints, and ease of use for the global deep learning community. You will collaborate with deep learning software framework and hardware architecture teams to accelerate the next generation of deep learning software, contributing to defining public APIs, performance analysis, and implementing compiler infrastructure techniques.

$152k - $242k

NVIDIA is seeking a Senior Deep Learning Software Engineer to join their Algorithmic Model Optimization Team. This role focuses on optimizing generative AI models, including LLMs and diffusion models, for maximum inference efficiency. The team utilizes techniques like neural architecture search, pruning, sparsity, and quantization, and develops an innovative software platform for automated deployment. The engineer will contribute to applied research and the development of this software, which is used both internally at NVIDIA and externally by other AI development teams. This is an opportunity to push the boundaries of inference efficiency and large-scale automated deployment, working with high-level frameworks and improving high-performance kernel implementations.

$184k - $357k

NVIDIA is at the forefront of AI, powering the next era of computing with its GPUs. This role focuses on understanding how evolving Large Language Model (LLM) architectures and inference workloads map to hardware, which is critical for designing efficient AI systems. The team utilizes simulation and agentic engineering to analyze emerging architectures and inform hardware and software development decisions.

$152k - $288k

NVIDIA is seeking an extraordinary Senior Perception Engineer to develop and productize autonomous driving solutions. This role focuses on creating end-to-end perception modules responsible for understanding traffic signals, signs, road markings, and construction objects, crucial for driving without reliance on HD maps. The goal is to enhance the robustness, accuracy, and efficiency of these solutions to enable autonomous driving in all conditions. You will be instrumental in designing perception systems, applying deep learning for various traffic-related tasks, developing generalizable approaches for diverse driving scenarios, and driving data-driven development by collaborating with data collection and labeling teams. Leveraging data simulation and augmentation will be key to solving extreme scenarios, and you will be responsible for productizing these solutions to meet stringent safety, latency, and software robustness requirements.

$184k - $357k

NVIDIA is seeking senior engineers to enhance its AI platform, focusing on performance optimizations within deep learning frameworks like JAX. The goal is to create a robust, efficient, and scalable platform for data handling, training, and analysis across various deep learning solutions. This role requires strong programming and system design skills, along with excellent communication and planning abilities, to contribute to the next generation of numerical computing and machine learning research tools.

$184k - $357k

We are seeking a Senior AI Developer Technology (DevTech) Engineer to accelerate the frontier of generative AI training and inference. Our team bridges the NVIDIA platform with developers worldwide, diving deep into customer projects to eliminate bottlenecks and partnering with the developer community to deliver optimal performance on NVIDIA systems. If you are passionate about accelerating advanced AI models and influencing the future of NVIDIA hardware and software, we want you on our team.

$184k - $357k