Senior AI Engineering Jobs

NVIDIA's Architecture group is seeking a GPU System Performance Architect passionate about GPU-accelerated deep learning, data analytics, and high-performance computing. This role involves designing and developing the next generation of GPU-accelerated computing systems, offering a significant impact within a dynamic, technology-focused company. You will contribute to innovative processor and system architectures, analyze system performance trade-offs using analytical models and simulators, and understand hardware-software interactions in large-scale data center deployments. Collaboration across software, product, and business teams will be key to guiding the future of GPU-accelerated cloud computing.

$224k - $357k

NVIDIA is seeking a Principal AI Workflow Engineer to join the Enterprise Integration and API Team. This role is at the forefront of AI-augmented engineering, utilizing AI-assisted tools and automation to accelerate development and delivery across the integration ecosystem. You will help build a developer-centric Unified Integration Framework that enables secure, self-service connectivity across systems and applications, with governed APIs, data access, and controlled agent connectivity to support AI application development.

$248k - $391k

NVIDIA is seeking a scientist at the intersection of quantum device physics, quantum calibration, and machine learning to help accelerate the quantum ecosystem. This role will focus on designing and building real-time models that learn from device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data synthesis pipelines, post-trainable model architectures, and practical benchmarks for the quantum community. Your research will translate qubit physics and the quantum control stack into performant AI systems for fault-tolerant quantum computing, spanning synthetic training data generation, surrogate modeling, and co-optimized calibration-decoding pipelines. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers.

$192k - $305k

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 Principal SW Architect, Networking to build the future of AI data-centers. This role is tailored for those passionate about collective communication, vertical co-development of AI networks, and large model training scalability. Your work will drive innovation and contribute to large-scale production, making a real impact on the world. Join a team of forward-thinking and driven engineers, and contribute to a legacy of innovation.

$184k - $357k

We are seeking a motivated engineer to enhance the integration of APIs across our CUDA-X math library software stack into modern LLM and agentic AI workflows. Organizations worldwide leverage GPU-powered data centers for AI, data analytics, and scientific simulations, driving progress in fields like LLMs, computer vision, and autonomous vehicles. Our team develops the essential GPU-accelerated libraries and SDKs for these technologies. In this role, you will ensure that human engineers and AI agents can easily build high-performance applications by effectively utilizing CUDA-X libraries. We are looking for individuals with a unique combination of technical expertise, developer experience, and communication skills.

$152k - $288k

NVIDIA is seeking a senior applications engineer with a background in material science codes to accelerate AI-driven simulations for materials discovery. This role will contribute to the development of NVIDIA ALCHEMI, a key software pillar for the next era of scientific discovery, bridging traditional simulations and AI surrogates. You will transform cutting-edge research into practical software tools for scientists, working collaboratively across research, engineering, and product teams.

$168k - $322k

NVIDIA is at the forefront of the AI revolution, exploring the next frontier of Physical AI, which involves machines that can perceive, reason about, and act within the three-dimensional world. The NVIDIA Cosmos platform provides open foundation models for Physical AI, designed to interpret images, video, and text to create a structured understanding of physical scenes, including motion, object interactions, geometry, and physical context. These models serve as the reasoning layer for robots, autonomous vehicles, and smart infrastructure. The Cosmos Engineering team is responsible for developing the core capabilities behind these models and is seeking a Senior Deep Learning Engineer to lead the data engine and end-to-end training verification for 3D spatial reasoning and perception. This role involves ensuring models accurately learn and represent 3D spatial concepts, working closely with research scientists to translate hypotheses into measurable capabilities in shipped models, and focusing on the critical role of data and evaluations in achieving frontier model quality.

Salary not listed

We are seeking a skilled engineer to join our Autonomous Vehicles team, focusing on the L3/L4 autonomous-driving solution. You will be instrumental in developing a comprehensive, learned 3D/4D world model by fusing navigation, ego-motion, perception, and sensor signals. This role involves close collaboration with perception, prediction, planning, and simulation teams to create a world representation that is complete, temporally consistent, uncertainty-aware, and robust for challenging driving scenarios. Our vision is to develop a shared multimodal scene representation that supports road understanding, 3D object perception, motion prediction, and planning, aiming to achieve human-level AI for navigation in unconstrained environments.

Salary not listed

NVIDIA is seeking a leader in AI-enabled drug discovery science to coordinate research and development efforts. This role bridges RNA therapeutics, experimental data generation, computational modeling, and translational science. The ideal candidate is a hands-on researcher experienced in guiding scientific teams, making technical trade-offs, and ensuring alignment across experimental, data, model, and compute activities. You will be responsible for converting scientific objectives into executable plans, leading workstreams in data curation, machine learning, and platform engineering, and guiding closed-loop learning processes. This position requires establishing robust science-stream governance and providing clear reporting on progress, dependencies, and risks to program leadership.

$224k - $431k

We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale.

$152k - $288k

We are seeking a highly technical and strategic Senior Technical Lead to join our team, focusing on engaging developer ecosystems across emerging technology domains such as Generative AI, Autonomous Vehicles, and Simulation Platforms. You will work directly with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges.

$224k - $357k

NVIDIA is seeking a motivated security engineer to join the GPU Software team. This role will focus on automating the enforcement of security standards across all software releases, leveraging both traditional tools and AI agents, and promoting their adoption throughout the organization. The ideal candidate will be instrumental in integrating AI agents into security workflows, identifying manual processes for reinvention, and guiding proven agentic workflows from development to production. This position offers the opportunity to translate security requirements into automated checks for a wide range of software, from firmware to user-mode applications, and to own and maintain the release security scanning pipeline.

$152k - $242k

NVIDIA is seeking a Senior Software Engineer to focus on AI Inference Performance, advancing innovative LLM and VLM inference on NVIDIA GPU-accelerated systems. This hands-on role involves pushing workloads to practical performance limits, delivering measurable gains in latency, throughput, efficiency, and scale. You will translate performance models and profiler data into working code, collaborating with various teams and contributing improvements to open-source inference engines. Your work will directly impact production deployments and help shape future NVIDIA platforms.

$184k - $357k

We are seeking a Developer Relations Manager to be the primary liaison between our developers, customers, and the Jetson SW stack. This role involves guiding users through the platform, including BSP, security, OTA, real-time workloads, mixed-criticality systems, AI libraries, and agentic AI. You will work directly with developers and customers to help them build and deploy optimized edge AI and robotics solutions on Jetson. Simultaneously, you will gather their challenges and insights to inform our engineering and product teams, directly shaping the platform's roadmap.

$184k - $357k

NVIDIA is seeking a dedicated and creative Security Engineer to join our GPU System Software team. In this role, you will be instrumental in developing mitigations, conducting security research, and building advanced security platforms and frameworks to identify vulnerabilities in complex systems software. This is an exceptional opportunity to contribute to the security of foundational technologies in gaming, professional graphics, and cloud computing, as well as AI, data centers, and healthcare. You will be part of an inclusive team focused on maintaining an industry-leading security posture for groundbreaking products.

$152k - $288k

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads. You will help AI researchers and platform teams understand end-to-end behavior across GPUs, networking, storage, and software stacks. Your work will shape scalable DGX Cloud systems, turn complex measurements into prioritized engineering decisions, and continuously raise the performance and reliability of AI workloads. Join a technically diverse team of infrastructure experts to unlock more efficient AI at scale.

$224k - $431k

Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on developing tools for optimizing efficiency and resiliency of AI workloads, including pre-training, post-training, and inference. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. As a senior DGX Cloud AI Infrastructure software engineer, you will have the opportunity to work on innovative technologies that power the future of AI and data science and be part of a dynamic, diverse, and supportive team that values learning and growth.

$184k - $357k

NVIDIA is seeking a Senior Software Engineer to lead the bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales. In this role, you will set technical direction for communication libraries, model frameworks, and inference/training stacks to ensure state-of-the-art LLM workloads run efficiently and reliably at scale. You will lead deep performance and reliability investigations on multi-GPU and multi-node deployments, define how new platforms are benchmarked and qualified, and build the resilience and failure-attribution capabilities essential for large clusters. This is a hands-on, senior individual-contributor role for an engineer experienced at the intersection of deep learning systems, GPU performance, distributed computing, and large-scale operations.

$184k - $357k

Join NVIDIA's CAD Infrastructure team to build a next-generation software platform for semiconductor design. This role involves applying innovative graph neural network infrastructure to process massive graphs and contributing to every phase from architecture to implementation. You will compose the future of computing and make a lasting impact on the world by developing advanced tools and systems.

$168k - $311k

NVIDIA is seeking a Senior AI Compute Engineer to join its Infrastructure Specialists team. This role involves working with academic, commercial, and government groups globally to revolutionize deep learning and data analytics, and to power data centers. You will be part of a team building some of the world's largest and fastest AI Compute systems. The position requires strong interpersonal skills to interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects, encompassing networking, system design, automation, and validation.

$148k - $288k