Find your next AI engineering role.

NVIDIA is seeking a Senior HPC Support Engineer specializing in Ethernet and AI Infrastructure to engage with prestigious customers. This role involves providing comprehensive solutions for sophisticated installations, maintenance, and operations of groundbreaking networking products within data center and networking technologies. As part of the NVEX Global Technical Support team, you will be a conscientious communicator focused on resolving issues and ensuring high customer satisfaction. A significant aspect of the role includes collaborating with Engineering, Marketing, and Support teams on technical matters.

$120k - $207k

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

Fireworks is seeking a Member of Technical Staff on the Research team, designed for individuals completing their PhD who want to see their work deployed in production. This role involves pushing the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will focus on enhancing model efficiency, accuracy, and scalability, directly contributing to our high-performance AI infrastructure. You will be paired with a senior researcher for mentorship and tackle a real research problem from day one, collaborating with experts in deep learning, distributed systems, and optimization. The goal is to see the models you help create deployed by leading companies, often within weeks.

$200k - $300k

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on Vision-Language Model (VLM) customization. This role involves partnering with cross-functional teams to deliver AI-powered products that enhance customer interactions with their money. You will leverage a broad stack of technologies, including Pytorch and Huggingface, to analyze large volumes of data and build AI foundation models through all phases of development. The position offers the opportunity to engage in high-impact applied research, translating complex AI developments into next-generation customer experiences and tangible business goals. The ideal candidate is innovative, creative, technically proficient, and possesses a deep understanding of AI methodologies, with a track record of delivering large deep learning models at scale.

$219k - $250k

NVIDIA is seeking a Manager, Deep Learning Inference Software to lead a team focused on advancing AI model deployment. This role involves shaping software for sophisticated AI systems, including large language models and multimodal generative AI, accelerated on NVIDIA GPUs. The team develops and optimizes open-source frameworks like vLLM/SGLang and FlashInfer to make AI deployment scalable, efficient, and accessible, enabling real-time inference at all scales. The position offers a chance to work with forward-thinking individuals and provides opportunities for career advancement in a rapidly growing company.

$184k - $357k

NVIDIA is seeking a Senior Developer Relations Manager to drive the adoption of its Cosmos 3 and Cosmos world foundation models within the Robotics ecosystem. This role involves building strong technical relationships with strategic partners and the NVIDIA Cosmos Coalition community, guiding developers in applying these models for robotics and autonomous systems. The ideal candidate will possess deep technical knowledge, adaptability, and expertise in guiding architecture and implementation plans for physical AI, world foundation models, and robot learning.

$184k - $357k

NVIDIA is building a unified foundation model that understands relational databases and heterogeneous graphs, enabling a new era of enterprise AI. This role involves designing, building, and evaluating novel Transformer and graph neural network architectures that generalize across diverse data schemas. The work will power applications like recommendation systems, demand forecasting, fraud detection, and predictive maintenance. You will collaborate with researchers and engineers across the entire machine learning lifecycle, from architecture exploration and large-scale training to post-training optimization and high-performance inference, translating foundational research into production systems.

$184k - $357k

NVIDIA is seeking a visionary Product Architect with strong expertise in systems architecture to join our AI Infrastructure and Agentic AI team. You will design and shape the architectures that connect the world's most powerful AI clusters, transforming ideas into well-defined, functional products by balancing technical feasibility with user needs and market demands. This role is at the nexus of designing and overseeing cutting-edge AI solutions from conception through their entire lifecycle, focusing on efficiency and multiplying efforts.

$184k - $357k

NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. We partner with the world's most innovative AI companies and open-source communities to address their most challenging technical problems. In this role, you will develop innovative solutions that advance AI infrastructure capabilities, advise infrastructure experts on the demands of ML workloads, and help practitioners diagnose and solve full-stack AI and ML system problems. You will work on a team with direct responsibility for the success of internal and external customers’ AI and ML initiatives, including LLM performance evaluation and supporting new hardware in open-source frameworks.

$184k - $357k

NVIDIA is seeking an experienced HPC-AI Engineer to join the Networking Clusters Solutions Infrastructure team. This role focuses on building supercomputers and AI clusters using cutting-edge technologies. You will be instrumental in contributing to breakthroughs in artificial intelligence and GPU computing by providing insights on large-scale system design and tuning. You will collaborate with researchers, developers, and customers, working with the latest accelerated computing and deep learning platforms to craft improved workflows and develop innovative solutions. The position involves interacting with specialists in HPC, OS, GPU compute, and systems to architect, develop, and deploy large-scale performance platforms.

$176k - $334k

Join NVIDIA's global Developer Technology (DevTech) team as an AI Developer Technology Engineering Manager. In this role, you will lead a team of highly skilled engineers focused on accelerating the end-to-end performance of real-world Deep Learning and Machine Learning applications. You will also develop novel algorithms to optimally leverage NVIDIA hardware, working on applications such as Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a leader, you will define and drive strategic technical initiatives, setting goals and collaborating closely with customers, NVIDIA Research, and hardware/software teams to advance the state-of-the-art in accelerated AI.

$224k - $357k

NVIDIA is seeking a Deep Learning Communication Architect to join its software architecture group. This role involves scaling Deep Neural Network (DNN) models and training/inference frameworks to systems with hundreds of thousands of nodes. You will be instrumental in optimizing communication performance by identifying and eliminating bottlenecks in data transfer and synchronization. The position requires designing efficient communication protocols tailored for deep learning workloads and collaborating with hardware and software teams to craft systems that leverage high-speed interconnects and communication libraries. You will also research and evaluate new communication technologies to enhance performance and scalability, and develop proofs-of-concept to validate new strategies.

$184k - $357k

NVIDIA's Seattle Robotics Lab is seeking a Senior Robotics Research Scientist to contribute to fundamental and applied robotics research across perception, planning, control, and learning. This role involves developing and integrating algorithms and models for robotic manipulation and loco-manipulation, aiming to transform research paradigms and transfer innovations into NVIDIA's robotics and simulation products. The scientist will play a pivotal role in achieving ambitious goals within the next 2-3 years, requiring exceptional research and engineering skills, a proven track record, and a team-first mentality. Collaboration with academic and product teams, as well as mentoring junior researchers, will be key aspects of this position.

$192k - $357k

Join the GPU Foundations Developer Tools team at NVIDIA and contribute to the development of groundbreaking performance analysis tools for GPUs and SoCs. You will innovate as you develop performance analysis capabilities for NVIDIA hardware, drivers, and SDKs, supporting current and future generations of GPUs. Your work will empower inventors worldwide to maximize the potential of our GPU hardware in their applications, directly impacting the performance profiling tools based on next-generation hardware that you help define.

$152k - $288k

We are seeking software engineers to design and develop libraries and tools that simplify and accelerate computing for unstructured sparsity in Deep Learning (DL) and High-Performance Computing (HPC). Our team develops GPU-accelerated libraries and SDKs that are crucial for AI, data analytics, and scientific simulations. In this role, you will contribute to solutions involving sparse tensor computations, domain-specific language (DSL) specifications for sparse storage formats, and on-demand code generation. The ideal candidate will have experience in accelerated computing software development and a passion for advancing the state-of-the-art in various accelerated computing domains and DL frameworks like PyTorch.

$184k - $357k

NVIDIA is seeking software engineers for its Deep Learning Frameworks Sustaining Engineering team. This role involves working directly with deep learning framework developers to integrate with open source codebases, contributing to software that powers breakthroughs in areas like image classification, speech recognition, and natural language processing. The team's work enables advancements used globally, making this a significant opportunity to impact the field of deep learning.

$152k - $288k

NVIDIA is seeking architects to design hardware accelerator and processor architectures that enable state-of-the-art machine learning and data analytics algorithms and applications on next-generation mobile, embedded, and datacenter platforms. This role offers the opportunity to make a real impact in a dynamic, technology-focused company. As a member of the deep learning architecture team, you will contribute to features that advance the state of AI on next-generation GPUs and systems. This position requires staying current with the latest DL research and collaborating with diverse teams, including DL researchers, hardware architects, and software engineers.

$224k - $357k

NVIDIA is seeking top research engineers for its Autonomous Vehicles Research team. This role focuses on AI models for autonomous driving, including agent behavior, end-to-end architectures, AI safety, closed-loop training, and AV foundation models. You will conduct fundamental, publishable research while also impacting products and collaborating with teams across various AI applications. The position offers a collaborative and nurturing research environment.

$184k - $357k

NVIDIA is seeking a world-class researcher in generative AI to join our research team. You will conduct original research for generative AI applications, including image, video, 3D, and audio generation. The role involves working with a team of researchers to make significant impacts with generative AI models, building research prototypes, and scaling them with large datasets and compute. After demonstrating the promise of your research, you will collaborate with product teams to integrate your ideas into products.

$192k - $357k

NVIDIA's GPU Architecture group is seeking world-class architects and software developers to lead architecture efforts. The role focuses on innovating in graphics and parallel computing to deliver the highest performance for deep learning and parallel processing algorithms. You will be responsible for developing and enhancing GPU architecture features, advancing parallel programming models, and designing new architectures to maintain leadership in AI computing. This involves interacting with other architects and researchers to build simulators, map deep learning workloads to hardware, and validate new architectural features.

$184k - $357k

NVIDIA's Seattle Robotics Lab is seeking Research Scientists to contribute to fundamental and applied robotics research across perception, planning, control, and learning. This role involves developing algorithms and models for robotic manipulation and loco-manipulation, integrating them into real-world systems, and engaging with the academic community through publications and code releases. You will collaborate with product managers and engineering teams to transfer research into NVIDIA products and mentor interns. The lab aims to build essential technology enabling companies to become robotics leaders, targeting grand challenges and achieving new capabilities within 2-3 years.

$168k - $265k

NVIDIA is seeking world-class deep learning researchers to build the next generation of AI for graphics and gaming. This role focuses on step-change research that delivers undeniable user experience improvements, driving fundamental AI research into products used by millions. You will conduct cutting-edge research, train advanced models, prototype in real-time engines, and collaborate with product, driver, and hardware teams to bring innovative ideas to market. If you are passionate about deep learning, real-time graphics, and delivering transformative technology directly into games and graphics applications, this is an excellent opportunity.

$168k - $265k

NVIDIA Research is seeking a world-class generative AI researcher to join its fundamental generative AI research team. The team focuses on advancing generative AI methods for scientific applications, including biomolecular design (small molecule, protein, and RNA design), with the goal of creating research that pushes boundaries and has a real-world impact. This role offers the freedom and bandwidth to conduct groundbreaking research within a collaborative team that consistently publishes at top venues in machine learning and AI for science.

$192k - $305k

NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative!

$152k - $288k

NVIDIA is seeking a Senior ASIC Engineer to design and implement a Memory Management Unit (MMU) for world-leading SoCs and GPUs. This role offers the chance to impact products across various domains, from consumer graphics to autonomous vehicles, and contribute to the forefront of artificial intelligence and deep learning innovation. You will join a global team dedicated to pushing technological boundaries and shaping the future of computing platforms. As part of the MMU team, you will develop a state-of-the-art memory management system, crucial for delivering the performance demanded by high-end applications and supercomputers.

$136k - $265k

We are seeking a Senior System Software Engineer to contribute to the development of the Dynamo-Triton Inference Server. This role is part of NVIDIA's GPU-accelerated deep learning software team, which is building a high-performance AI inference platform to simplify the design and deployment of AI models. The platform aims to make AI models more accessible to all users and is crucial for enabling breakthroughs in various AI fields, including image classification, speech recognition, and natural language processing.

$152k - $288k

NVIDIA seeks a Senior DL Performance Architect to join a pioneering group focused on pushing AI Inference performance boundaries through ambitious hardware-software co-design. This role offers an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you.

$152k - $288k

NVIDIA's Managed AI Research Superclusters (MARS) team is seeking a Senior GPU Supercomputer Scheduler Engineer to design and implement groundbreaking GPU compute clusters. This role involves developing solutions for demanding deep learning, high-performance computing, and computationally intensive workloads. You will contribute to the design and implementation of new scheduling features and services to optimize GPU compute clusters for fairness, occupancy, resilience, performance, and power usage. This is an excellent opportunity to deliver production-grade solutions, work with cutting-edge technology, and collaborate with technical leaders on significant challenges in machine learning, cloud computing, and system co-design.

$152k - $288k

NVIDIA is seeking an AI & Deep Learning Compiler Engineer to join its Deep Learning & AI Compiler (DLC) team. This role involves developing and optimizing the compiler that powers NVIDIA's inference engine across various platforms, from data centers to personal devices. The compiler is crucial for delivering leading inference performance, fast build times, reduced memory footprints, and ease of use for the global deep learning community. You will contribute to the next era of computing by enabling breakthroughs in areas like large language models and generative AI.

$152k - $242k

NVIDIA is seeking a Senior Backend Compiler Engineer to join our GPU Software organization. This role focuses on constructing and emitting high-performance GPU machine instructions for Graphics and Compute applications. You will be instrumental in designing and implementing a new LLVM-based JIT compiler targeting NVIDIA GPUs, developing new compiler passes and optimizations, and collaborating with global teams to drive improvements and problem resolution. This is an opportunity to apply and adapt cutting-edge compiler technologies to produce premier, robust compiler tools and influence new GPU architectures.

$152k - $242k

NVIDIA is seeking a Senior Engineering Manager to lead and define the company's JAX strategy. This role involves coordinating multiple teams and workstreams to ensure JAX delivers peak performance across NVIDIA's evolving datacenter infrastructure, which includes GPUs, CPUs, and LPUs. The position is critical for ensuring JAX is ready on next-generation architectures and supports emerging AI needs across training, post-training, inference, and robotics, bridging new hardware capabilities with AI trends.

$272k - $431k

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC-gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU-accelerated deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” Our Enterprise AI team builds intelligent AI agents that transform how NVIDIA operates — from smart personal assistants and engineering-productivity tools to data-driven analytics and supply-chain optimization. These agents are live, in production, and used across the company. Now we need a principal-level, hands-on engineering leader to make them bulletproof and to architect the next generation of agent infrastructure. This is not a research role. This is a role for someone who obsesses over reliability, polish, and user trust — and who has the full-stack depth to harden production systems and the architectural vision to ensure they scale. What you'll be doing: - Improve reliability, performance, observability, release confidence, and end-user experience across desktop, web, and service-based AI products. - Design and build resilient frontends, backend APIs, distributed services, data flows, and deployment systems that scale to enterprise use. - Establish strong patterns for testing, debugging, CI/CD, safe rollout, auto-update mechanisms, monitoring, incident response, and operational excellence so our Agentic AI applications behave like mature software, not prototypes. - Build reusable capabilities that support multiple agent domains, including orchestration services, deep-agent workflows, memory and context services, evaluation frameworks, telemetry, and policy-aware tool integration. - Help validate and operationalize technologies such as Nemotron, NVIDIA AI Blueprints, and related platform capabilities in enterprise production settings. - Codify architecture, shared components, documentation, and operational playbooks; mentor engineers; and create foundations that are durable, reusable, and broadly owned. - Define the core architecture for how AI agents discover one another, collaborate securely, build trust, and operate under enterprise governance. - Partner closely with domain AI engineers, product managers, designers, infrastructure teams, IT, and research to deliver measurable outcomes across employee productivity, engineering efficiency, AIOps, and enterprise operations. What we need to see: - BS, MS, or equivalent experience in Computer Science or a related field. - 15+ years building and operating production software systems, including significant experience leading architecture and delivery across the full stack. - Familiarity with enterprise application deployment, security, authentication, device management, and application lifecycle management. - Solid experience building modern applications across frontend, backend, and platform layers. This may include technologies such as TypeScript/JavaScript, React, Electron or similar desktop frameworks, Python, Go, Java, APIs, data systems, and distributed infrastructure. - Proven track record taking complex products from prototype to reliable, secure, well-operated production systems. Deep expertise in testing strategy, release engineering, observability, performance tuning, and incident response. - Experience building shared services, internal platforms, SDKs, or core infrastructure used by multiple teams or products. - Working knowledge of modern AI application patterns such as LLM-powered applications, RAG, tool use, CLI-based workflows, reusable skills, MCP-based integrations, evaluation loops, memory systems, and agentic workflows. You do not need to be a research scientist, but you should know how to build reliable, production-grade systems around AI. - Strong judgment, communication, and cross-functional leadership skills, with the ability to influence across teams while remaining highly hands-on. Ways to stand out from the crowd: - Experience hardening desktop or client applications at scale, including installers, auto-update systems, crash recovery, and enterprise distribution. - A track record of improving engineering velocity and consistency through common frameworks, platform services, design patterns, and developer tooling. - Experience building reusable infrastructure for AI products, such as orchestration layers, memory/context services, evaluation platforms, human-in-the-loop workflows, or policy and safety controls. - Familiarity with identity, discovery, trust, reputation, or graph-based systems relevant to large-scale agent collaboration. - Experience with GPU-accelerated systems or NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.