Senior AI Engineering Jobs

Join the new Agentic Engineering team, focused on automating code generation, testing, and tuning across NVIDIA's frameworks, compilers, and developer tooling. This is a greenfield opportunity offering foundational technical influence within a high-autonomy team. You will partner directly with early-adopter teams to translate complex requirements into durable, scalable infrastructure, applying modern AI to the craft of engineering itself. The role involves identifying friction points where agentic workflows can have the highest impact and iterating with teams as they integrate agents into production.

$224k - $357k

Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will transform telemetry and workload data into clear findings and visuals, partnering with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting, coordinating these into tools the team uses. This role involves analyzing signals to identify opportunities for application and platform improvements, working with high-dimensional data to spot trends, and communicating conclusions to engineers and leadership.

$152k - $242k

NVIDIA is seeking a Senior Engineer to lead the performance modeling, evaluation, and post-training of large language models focused on code generation and agentic coding tasks. This role involves optimizing model capabilities, efficiency, and reliability by working at the intersection of model training, inference, and empirical analysis. You will design experiments to understand model behavior, identify performance bottlenecks, and develop post-training strategies to achieve measurable improvements in coding benchmarks and real-world software engineering tasks. Collaboration with research scientists, infrastructure engineers, and product teams will be key to translating model insights into production-ready features.

$224k - $431k

NVIDIA is building a new kind of agentic engineering system to ensure the correctness, security, and reliability of software for safety-critical applications like autonomous vehicles and medical robots. This system aims to translate precise specifications into production-ready C/C++ and Rust software, continuously validating the results and providing evidence for readiness. The role involves leading a core team to develop this capability, combining AI agents, systems engineering, deterministic validation, security, and functional-safety practices into a production platform.

$272k - $431k

NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role involves deep technical expertise in embedded firmware, Linux kernel development, and middleware development, combined with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment.

$184k - $357k

NVIDIA is seeking a Distinguished Engineer to lead the company's storage strategy for AI Cloud, focusing on the Neocloud Provider (NCP) and Cloud Service Provider (CSP) ecosystem. This role involves directing the architecture of high-performance parallel file systems, object stores, and block storage at exabyte scale. You will remain hands-on, collaborating with engineers, SREs, partners, and storage vendors, and leveraging NVIDIA's AI tools to enhance productivity. This is a unique opportunity to shape the storage framework for the AI era at a company that pioneered accelerated computing, ensuring that storage platforms can keep tens of thousands of accelerators continuously busy and power the largest AI workloads worldwide.

Salary not listed

NVIDIA is seeking a Senior Software Architect to join our GPU Communications Libraries and Networking team. This role involves co-designing next-generation data center platforms and scalable communication software crucial for advancing Deep Learning and High Performance Computing (HPC). You will investigate and identify communication performance bottlenecks, design and implement new communication technologies, and explore innovative hardware and software solutions for future platforms. This is an opportunity to break performance barriers and deliver cutting-edge technologies that power AI and HPC workloads at massive scales.

$184k - $357k

NVIDIA is seeking a motivated Deep Learning engineer to integrate advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, and SGLang. You will work with the team that created communication libraries like NCCL and NVSHMEM, and technology like GPUDirect, to scale Deep Learning and HPC applications. Your work will directly impact AI application performance by improving communication between GPUs, making AI toolkits easier for the community to use. This role offers an outstanding opportunity for someone with an AI background to advance the state of the art in this space.

$184k - $357k

NVIDIA is seeking a Senior Systems Software Engineer to join their Deep Learning Solutions team. This role focuses on optimizing deep learning inference for autonomous vehicles and robotics on edge devices. The ideal candidate will be a hands-on specialist capable of analyzing model architectures at the operator level, identifying performance bottlenecks through kernel trace analysis, and evaluating modern AI architectures on GPU and SOC platforms. This position directly contributes to enhancing real-time perception and response capabilities for autonomous systems, working at the intersection of model frameworks, compiler technology, and embedded hardware. Collaboration with automotive OEMs, robotics teams, and internal hardware groups is a key aspect of this role.

$224k - $357k

We are seeking senior systems software engineers to enhance the performance, efficiency, and readiness of the CUDA Driver for next-generation accelerated computing. This role involves developing performance-critical CUDA Driver features and systems software improvements to maximize the potential of NVIDIA GPUs for AI, deep learning, HPC, and other CUDA-powered applications. You will tackle complex performance challenges at the intersection of systems software, CPUs, interconnects, and GPUs, tracing issues from real workloads through the entire stack, designing and shipping production features, and delivering validated optimizations for current and emerging platforms. This position offers the opportunity to combine hands-on engineering with broad technical influence, collaborating with various CUDA software, hardware architecture, frameworks, applications, product, and customer-facing teams. You will lead cross-layer investigations, mentor engineers, and help define performance direction, shaping both current GPU utilization and future CUDA software and GPU architectures.

$184k - $357k

NVIDIA Halos is seeking a Senior Software Safety Engineer to join their team, focusing on the full-stack, comprehensive safety system for Physical AI. This role involves ensuring the safe development and deployment of autonomous machines, AI models, chips, software, tools, and services. You will collaborate with diverse engineering teams across NVIDIA, including those working on autonomous vehicles, robotics, and other safety-critical applications. The position requires guiding teams in specifying, building, implementing, and verifying safety requirements across the software stack, from drivers to end-to-end AI models, and integrating AI safety principles into the Product Life Cycle. Additionally, you will engage in customer interactions and international standardization activities related to AI safety, and support system safety activities like decomposition of safety requirements and architectural safety analysis.

$224k - $357k

NVIDIA is seeking Architects, Functional Modeling Engineers, and Simulation experts to join its Architecture Modeling group. In this role, you will collaborate with world-class architects to enable functional simulation platforms across GPU generations. You will be instrumental in modeling GPU architecture, baseboard components, and other features, working within a matrixed environment to document, design, develop tools for analysis and simulation, and validate models. The position involves familiarizing yourself with various functional and performance simulation models across NVIDIA, developing tests and testing infrastructure for new architectures, and guiding the improvement of the simulation platform to support future GPU architectures. You will also have the opportunity to develop or use AI to assist with daily tasks.

$152k - $288k

NVIDIA is seeking a Principal AI and ML Infra Software Engineer to join their Hardware Infrastructure team. This role is pivotal in enhancing researcher efficiency by implementing advancements across the entire technology stack. The engineer will collaborate closely with customers to identify and resolve infrastructure deficiencies, enabling groundbreaking AI and ML research on GPU Clusters. The goal is to build powerful, effective, and scalable solutions that shape the future of AI/ML technology.

$272k - $431k

AI Infrastructure Engineers at NVIDIA build the systems, tooling, and data infrastructure that enable operation of our GPU cloud services. We are enabling engineering teams to innovate while proactively identifying, tracking, and mitigating risks across the entire technical task. This role is ideal for engineers who thrive at the intersection of product, infrastructure, and software engineering and who want to build automated, intelligence-driven systems that protect NVIDIA’s most critical AI platforms.

$184k - $357k

We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality! CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system. As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA.

$272k - $431k

NVIDIA is seeking a Backend Compiler Engineer to join our GPU Software organization. The Compiler team is responsible for constructing and emitting high-performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team comprises leading compiler engineering experts who deliver cutting-edge performance and capabilities for NVIDIA's complex parallel SIMT architectures.

$152k - $242k

NVIDIA is seeking talented individuals to join our Architecture Modeling group, focusing on GPU and SOC architecture. In this role, you will collaborate with world-class architects to integrate state-of-the-art Generative AI applications into simulation platforms and engineering workflows. You will develop and deploy scalable GenAI applications, leverage AI tools to accelerate modeling, and work with hardware architects to design and deploy AI-based solutions tailored to specific problem domains. Additionally, you will collaborate with infrastructure engineers to enhance automated workflows using LLMs and research emerging AI technologies to maintain a competitive edge.

$152k - $288k

We are seeking a Senior Power Architecture & Optimization Engineer to advance energy efficiency through sophisticated analytics and AI, including specialized LLMs for power analysis. This role is central to NVIDIA's mission of creating the most energy-efficient GPUs and SoCs, leveraging AI and LLMs as a key differentiator for future products. You will combine expertise in power architecture with machine learning, reinforcement learning, data analytics, and large language models to innovate in modeling, analyzing, and optimizing energy consumption across various design levels.

$136k - $265k

NVIDIA is seeking a Principal Engineer to lead critical platform initiatives at the intersection of information security, enterprise collaboration, and AI. This role is pivotal in shaping how NVIDIA protects sensitive content, manages enterprise data access, and enables next-generation AI agents at scale. The platforms encompass sensitive information protection, a central data governance layer for enterprise content, and an AI knowledge platform for reliable AI agent consumption. The focus is on access control, export-control enforcement, and production readiness. This is a high-impact individual contributor role with potential for engineering leadership and management, requiring strong technical skills and the ability to influence stakeholders across Security, Legal, Finance, and AI teams.

Salary not listed

NVIDIA is seeking a Senior Machine Learning Engineer to join its prediction team for autonomous driving solutions. This role involves developing and productizing cutting-edge prediction modules responsible for generating multi-modal scene-consistent predictions for road participants. The engineer will focus on enhancing the robustness, accuracy, and efficiency of these solutions to enable autonomous driving in diverse environments and conditions. The position offers the opportunity to work on state-of-the-art ML techniques and contribute to the future of autonomous driving.

$224k - $357k

NVIDIA is seeking a Senior High Performance AI Engineer to develop groundbreaking multi-agent systems within the CUDA ecosystem. This role involves building innovative agentic runtimes and compiler-integrated orchestration that leverage NVIDIA's software stack to accelerate modern agent workloads powered by foundational models. You will contribute to new agent abstractions, GPU-centric runtimes, and system solutions that enhance agent planning, tool-use, and code generation. The position requires close collaboration with internal NVIDIA software and hardware teams to integrate cutting-edge developments into NVIDIA products.

$184k - $357k

NVIDIA is seeking an AI Hardware Architect to design and analyze the next generation of Artificial Intelligence hardware, focusing on building innovative AI chips and chiplets for the AI infrastructure market. This role involves understanding computer architecture, microarchitecture, and chip design, with opportunities for continuous learning and growth. You will work on groundbreaking GPU and CPU systems, identify areas for improvement, and study the architectural implications of AI applications and models running on NVIDIA hardware.

$184k - $357k

NVIDIA is building GeForce G-Assist, an on-device AI assistant that integrates Small Language Models (SLMs), retrieval systems, and hybrid cloud capabilities for responsive, context-aware assistance within the GeForce ecosystem. This role involves close collaboration across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios. The focus is on production model behavior rather than just benchmarks, with an emphasis on accuracy, robustness, and conversational reliability. The team works with SLM and VLM architectures, hybrid cloud/local model architectures, and optimizes local inference for performance.

$152k - $288k

We are seeking a Senior Engineer to design, build, and scale the infrastructure that powers NVIDIA's AI agent ecosystem. This role sits at the intersection of distributed systems, developer platforms, and agentic AI, focusing on building foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. You will be instrumental in creating the core platform that supports the full agent lifecycle, from registration to teardown, ensuring robust and scalable operations.

$200k - $391k