nvidia

NVIDIA is seeking a Senior Manager, Software Engineering to lead the evolution of its DevOps, Build Engineering, and Infrastructure team. This role involves building and guiding a high-performing engineering team responsible for the development, testing, verification, and release of core software for NVIDIA's CUDA driver, runtime, and related libraries in C++, Python, and Rust. The position offers hands-on leadership, focusing on people development, CI/CD, technical strategy, architecture, and end-to-end operational ownership, aiming to enhance the developer experience and platform for a global workforce.

$272k - $431k

NVIDIA is seeking a Staff Engineer to develop the company's Enterprise Data Governance platform. This platform is crucial for protecting sensitive information, managing data access across all collaboration and content systems, and building a knowledge infrastructure that ensures the trustworthiness and accuracy of enterprise AI. The role presents a unique challenge in balancing the need for broad data access for AI agents with strict security, legal, and export control requirements. This position is ideal for technically strong engineers at the senior to principal level who are passionate about solving complex infrastructure problems and contributing to NVIDIA's core operations at scale.

$168k - $322k

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 an outstanding software engineer to join our team and contribute to the development of unstructured data processing libraries, specifically NVIDIA cuVS and cuML. These libraries leverage highly optimized C++ and CUDA algorithms, exposed to higher-level languages like Java and Python, to accelerate other libraries and database systems. In this role, you will research, develop, benchmark, and explore novel algorithms for accelerating vector preprocessing, indexing, and search, as well as building high-performance ML algorithms for clustering and visualization. This is a significant opportunity to utilize your CUDA/C++ skills and make a substantial impact in a rapidly growing industry, working at the intersection of databases and machine learning.

$184k - $288k

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

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

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's Core Engineering Products team is seeking a Senior Staff Software Engineer to architect and develop AI automation solutions. This role focuses on enhancing NVIDIA's software delivery, model publishing, and AI development processes by enabling engineering teams to resolve issues, access services, and complete development workflows more efficiently. You will be responsible for the technical direction, architecture, implementation, and quality of production automation, with a significant portion of your time dedicated to hands-on coding.

$200k - $322k

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 a highly motivated individual to join our Applied Power Architecture team as an AI GPU Power Architect. This role focuses on developing state-of-the-art GPUs for AI, HPC, Automotive, GeForce, and Mobile products, with a strong emphasis on energy efficiency and Total Cost of Ownership (TCO) improvements at both the GPU and datacenter levels. You will contribute to power estimation models and tools, explore early GPU and system architectures, and analyze performance versus power trade-offs for NVIDIA's future product lineup. This is an exciting opportunity to innovate in hyper-efficient GPU and SOC architectures and deliver exceptional Perf/Watt solutions.

$100k - $190k

NVIDIA Cloud Functions is seeking a motivated AI/ML Engineer with expertise in AI platform engineering at scale. The team develops and manages a serverless deployment platform designed to enable and scale AI inferencing workloads. This platform utilizes globally distributed orchestration of workloads on Kubernetes clusters backed by GPUs, operating in a cloud-agnostic manner. The role involves working with a team of innovative engineers to deliver a top-tier product for both external clients and internal NVIDIA teams, contributing to the forefront of cloud engineering paradigms for AI at scale.

$152k - $288k

NVIDIA's Managed AI Research Superclusters (MARS) team is seeking a Software Engineer to help design, build, and operate exascale infrastructure that powers AI research and development at unprecedented scale. This role involves working on distributed systems, large-scale storage and compute orchestration, and end-to-end automation to enable AI researchers to focus on innovation. You will collaborate with engineers and researchers across NVIDIA to architect reliable, efficient, and secure systems that underpin our Managed AI Research Superclusters, capable of training frontier models and executing global-scale workloads.

$152k - $288k

NVIDIA is seeking a Senior Software Engineer to drive the design and development of an AI agent compute delivery platform, centered around a custom agent sandbox cloud VM solution. This role involves enhancing NVIDIA's agent sandbox services to run full agentic use cases that are scalable and secure, partnering with teams across NVIDIA to enable their AI workflows. It's an opportunity to build at the frontier of AI, creating the platform for next-generation agentic services.

$168k - $270k

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

The AI revolution is driven by computation that is fast, efficient, and economical. At NVIDIA, performance is paramount, and the CUDA driver is a critical layer where architectural invention becomes useful computing. This team has a unique opportunity to impact numerous downstream systems and products by optimizing fundamental aspects of the CUDA driver and runtime. We are seeking systems software engineers to design and implement production C/C++ features and optimizations within the CUDA driver and runtime. You will trace workloads across various system boundaries, bring up new platforms, and translate evidence into future software and hardware direction, ultimately making AI tools more responsive and efficient.

$124k - $196k

As a member of NVIDIA's NVHPC compilers & tools group, you will analyze and run High Performance Computing (HPC) applications on HPC servers and systems to gain insight into their performance characteristics. You will work with a range of applications, from small benchmarks to full-scale distributed applications utilizing heterogeneous compute nodes. Your analysis will identify optimization opportunities for compiler development and application engineering teams.

$184k - $288k

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

NVIDIA is seeking a Product Engineer to lead an internal platform that scores, tracks, and reports on open-source readiness across the DSX OS portfolio. This role will evolve the platform from a measurement tool into a core system for all DSX OS projects, ensuring reliability and data quality are paramount. The goal is to automate scoring, integrate self-serve capabilities into onboarding and workshops, and establish a feedback loop with engineering teams to continuously improve the product. This position requires a strong ownership mentality for production systems and a track record of transforming manual processes into automated, reliable solutions.

$168k - $322k

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