CUDA Jobs

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, an internal engineering force multiplier, drives innovation through strategic investments in data, software, QA, ERP, and AI infrastructure. This role is part of a team building the foundations for CorpOS and ArsenalOS, unifying systems and accelerating development velocity. We are also pioneering an autonomous enterprise by integrating AI directly into the engineering lifecycle, making this a strategic engine for scaling business systems with rigor and adaptability.

$146k - $194k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, specifically the Mission Control group, is responsible for quality assurance, release management, and incident management across the systems that power Anduril's factories. This role will be a senior technical anchor, building automated system integration tests to ensure the quality of product lines as they move through various enterprise systems. The goal is to create a robust testing framework that simulates production environments and empowers engineers and operators to verify quality themselves, leveraging AI to enhance test authoring, maintenance, and triage.

$191k - $253k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The CorpTech Platform team, an internal engineering force multiplier, drives innovation through strategic investments in data, software, QA, ERP, and AI infrastructure. This role is part of a team building the foundations for CorpOS and ArsenalOS, unifying systems and accelerating development velocity. We are also pioneering an autonomous enterprise by integrating AI directly into the engineering lifecycle, making this a strategic engine for scaling business systems with rigor and adaptability.

$146k - $194k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. We bring the innovation of 21st-century companies to the defense industry, redesigning how military systems are developed and sold. Our systems are powered by Lattice OS, an AI operating system that provides real-time command and control. As the world faces strategic competition, Anduril is dedicated to delivering cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology rapidly.

$167k - $222k

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack, from supercomputers to Grok models and a suite of applications. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. The RL infrastructure team is looking for an engineer to help with low precision RL training and inference.

$180k - $440k

SpaceXSI is building Super Intelligence to help humanity understand the universe. We are seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with an engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.

$180k - $440k

Together AI

We are seeking a software engineer with a strong focus on reliability to manage the production operations of our Kubernetes-native control plane, which provisions and runs our GPU inference fleet. This platform team develops the API and controllers that enable the inference team to define their needs, such as clusters, model deployments, or capacity changes, and ensures these are reconciled. Your role will be to maintain this functionality in the real world by troubleshooting issues like InfiniBand problems, diagnosing serving faults, and enhancing our automated self-healing systems to permanently resolve recurring failures. The primary goal is to ensure the decoupling remains effective even during disruptions and to maintain fleet efficiency without introducing new instabilities. You will be responsible for inference serving SLOs and error budgets, leading incident response, and implementing lessons learned from postmortems into system changes. Additionally, you will address the reliability aspects of capacity efficiency, recognizing that misconfigured defragmentation or bin-packing can pose production risks. We value candidates with hands-on production reliability experience in large-scale distributed or GPU-serving systems, proficiency in troubleshooting InfiniBand/RDMA and Kubernetes controller-based platforms, and a software engineering approach to GPU infrastructure.

$250k - $320k

Together AI

We are seeking a reliability-minded software engineer to manage the production operations of our Kubernetes-native control plane, which provisions and runs our GPU inference fleet. This platform team develops the manifest-driven API and controllers that enable the inference team to define their needs, such as cluster configurations, model deployments, and capacity adjustments, and ensures these are reconciled. Your role will be to maintain the reliability of this system in production, addressing issues like InfiniBand problems during node communication, diagnosing faults in hero-model and LoRA serving that generic health checks miss, and enhancing automated self-healing to permanently resolve recurring failure modes. The primary goal is to ensure the decoupling remains effective even during failures and to maintain fleet efficiency without introducing new instabilities. You will be responsible for inference serving SLOs and error budgets, leading incident response, and implementing systemic fixes based on postmortem analyses. Additionally, you will contribute to the reliability aspects of capacity efficiency, recognizing that misconfigured defragmentation or bin-packing can pose production risks. We value candidates with hands-on production reliability experience in large-scale distributed or GPU-serving systems, proficiency in troubleshooting InfiniBand/RDMA and Kubernetes controller/CRD-based platforms, and a software engineering approach to GPU infrastructure and its supporting tools.

$160k - $280k

NVIDIA Research is seeking a PhD researcher to conduct groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). This role offers the opportunity to shape the future of chip design, which is being transformed by deep learning and GPU acceleration. We are looking for creative and collaborative individuals interested in tackling new challenges and contributing to a world-class technology employer.

$168k - $265k

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 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

Nebius is building a full-stack AI cloud platform to support developers and enterprises in the global AI economy. We are focused on solving complex problems across compute, storage, networking, and applied AI. The Token Factory team is developing a cutting-edge inference platform designed to make various foundation models (text, vision, audio, and multimodal) fast, reliable, and effortlessly deployable at massive scale.

Nebius is building a full-stack AI cloud platform to support developers and enterprises in the global AI economy, from data and model training through to production deployment. The Nebius Token Factory is seeking scientists to tackle frontier LLM and VLM inference bottlenecks by turning them into research questions, conducting rigorous experiments, and translating findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts for engineers to build upon. Your research will cover areas like quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will evaluate trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and collaborate with engineering teams to bring promising results into production.

$195k - $262k

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work directly with Physical AI customers to understand their workloads and production requirements. Your insights will shape our core infrastructure products and inform future development by connecting needs across Physical AI industries with product decisions. You will also investigate opportunities for new Nebius products by developing hypotheses about unmet needs, examining demand, and building prototypes to test with customers. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure alongside customer engineers, with close collaboration across customers, NVIDIA, Product, and Engineering.

$180k - $224k

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work alongside Physical AI customers to understand their workloads and production requirements, translating these into actionable insights for our core infrastructure products. You will also investigate and prototype new product opportunities based on unmet customer needs, helping to shape the future of Nebius' offerings. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure in close collaboration with customers, NVIDIA, Product, and Engineering teams.

NVIDIA's TensorRT team is seeking a Senior AI-Native Systems Software Engineer to lead a groundbreaking initiative focused on making TensorRT the global standard for out-of-framework inference. This role involves developing a novel, AI-native framework designed to leverage AI agents for producing high-performance, high-quality C++ software at scale. The ideal candidate is a systems-thinking C++ engineer passionate about advancing agentic development frameworks, staying abreast of deep learning advancements, and enhancing user experience through rapid model onboarding.

$152k - $288k

NVIDIA is seeking a creative, hands-on software engineer with a test-to-failure approach to join our team. You will be responsible for building data-driven tools to improve software quality and ensure customers have the best experience with GeForce NVIDIA products. This role involves understanding software and hardware specifications, building reliable tests and tools in C++/C#/Python, and leveraging AI technologies for test case automation. You will also gain in-depth understanding of both Windows and Linux operating systems.

$140k - $270k

NVIDIA is seeking an experienced software engineer to help build NVIDIA AI for Media SDKs, a GPU-accelerated platform delivering AI-powered video, audio, and augmented reality capabilities for developers building media, content creation, and broadcast workflows. You will develop and optimize AI software across cloud and embedded platforms while advancing the build, validation, and delivery infrastructure behind our SDKs. This role combines strong C++ systems engineering, Linux expertise, accelerated inference, and software delivery automation. You will collaborate with algorithm, platform, infrastructure, and QA teams to deliver efficient, reliable software on NVIDIA hardware.

$184k - $357k

Join NVIDIA’s Hyperscale Engineering team to develop networking solutions for large-scale AI infrastructure. You will work with customers and engineering teams to build, integrate, and improve software for BlueField and ConnectX platforms. Your work will span software development, system integration, troubleshooting, and performance analysis, helping customers move from initial testing to production deployment.

$184k - $357k

NVIDIA is seeking a Senior Software Engineer to enhance the Rust experience for CUDA Core Libraries. This role involves designing and implementing safe, idiomatic Rust APIs for GPU computing, while integrating closely with existing C/C++ components. You will be part of the team responsible for building the foundational libraries, algorithms, and infrastructure that power CUDA, ensuring a high-performance experience for developers and AI coding agents.

$184k - $357k