CUDA Jobs

You.com is building the AI Search Infrastructure that powers modern AI systems, aiming to create a trusted knowledge layer for agents, applications, and enterprises. Our platform combines proprietary indexes with LLM-optimized retrieval systems to solve complex problems in search, large language models, and large-scale infrastructure, making AI systems more reliable, transparent, and useful. This hybrid product engineering and go-to-market role offers significant impact at the intersection of these areas, focusing on shaping our API surface and engaging directly with key customers.

$200k - $250k

NVIDIA is seeking versatile software engineers for its XLA team to build high-performance, production-grade software at the core of next-generation AI systems. This role involves developing compiler optimization algorithms for deep learning workloads, optimizing inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You will collaborate with deep learning framework and hardware architecture teams to accelerate future AI software.

$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

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

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 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

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'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 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 is seeking a Senior Developer Technology Engineer to work at the forefront of AI innovation, collaborating with industry partners and open-source projects to accelerate performance for agentic AI use cases. This role offers a unique opportunity to contribute to the next era of enterprise and consumer AI by optimizing applications on RTX and DGX SoCs, influencing next-generation platforms, and providing technical guidance. You will be instrumental in identifying and resolving performance bottlenecks across various workloads, working closely with system software, GPU driver, architecture, and research teams.

$152k - $288k

Mintlify is seeking product-minded engineers to build the AI experiences behind their documentation platform. This role involves combining strong full-stack engineering with applied AI expertise to create agents that reliably solve real customer problems. As a Senior Applied AI Engineer, you will take ownership of complex AI products from early experimentation through production, helping to define technical direction, establish evaluation methods for agent performance, and elevate the quality of both AI products and engineering practices. You will architect and ship customer-facing AI experiences, build reliable agent systems, drive evaluation and iteration, and transform prototypes into scalable, reliable products.

$190k - $265k

NVIDIA is seeking a Senior Software Engineer to specialize in Deep Learning Inference. This role involves designing, building, and optimizing GPU-accelerated software for AI applications, focusing on high-performance deep learning frameworks like SGLang and vLLM for efficient large-scale model serving and inference. You will contribute to improving these platforms, enabling the smooth deployment of advanced language models and working with the deep learning community to implement and release the latest algorithms. The work will concentrate on enhancing the performance of state-of-the-art LLM and Generative AI models across various NVIDIA accelerators, utilizing open-source tools and kernels for optimization.

$184k - $357k

NVIDIA is seeking software engineers for the CUDA Tile team to work on a new tile-based programming model for their GPUs. This role involves designing and implementing compiler transformations, developing MLIR-based dialects and lowering passes, and optimizing the performance of tile-based kernels across various NVIDIA GPU architectures. The work includes defining public APIs, crafting compiler and optimization techniques, and general software engineering tasks. NVIDIA is a leading technology company transforming computer graphics, PC gaming, and accelerated computing, now focusing on AI to define the next era of computing.

$152k - $242k

Crusoe is seeking a Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing large language models for production environments. This role involves owning the inference stack end-to-end, focusing on profiling, applying modern optimization techniques, and deep dives into serving code to enhance speed, reduce cost, and improve reliability. The work is hands-on, involving coding, profiling, and low-level optimization, with a customer-facing component to tailor deployments to specific needs and ensure performance gains are realized in real-world scenarios. You will transition workloads from proof-of-concept to fully monitored production services, making this a core systems and performance engineering role on demanding AI workloads.

$215k - $260k

Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract crucial signals for training frontier AI models. The company's mission is to empower Physical AI and robotics teams to instantly find, curate, and stream the data they need. As a Software Engineer on the Data Systems team, you will build key capabilities for a high-throughput data engine over petabytes of video, lidar, and telemetry data, working directly on the architecture for real-time indexing, distributed storage/compute, and efficient dataloading to GPUs. This role offers high ownership across the stack in an agile, fast-paced startup environment.

$150k - $200k

Lightning AI is seeking an AI Platform Support Engineer to join their US Customer Experience team. This role is designed for individuals who are technical partners to ML teams, helping them diagnose and resolve complex issues related to large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms. You will be instrumental in supporting engineers as they train models, deploy inference systems, and scale GPU workloads in production, tackling problems ranging from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking, and storage performance. This position offers exposure to diverse AI workloads and the opportunity to shape the infrastructure powering future ML applications.

$115k - $140k

NVIDIA is seeking an NCX Senior Engineer to join our DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. You will deliver hands-on technical assistance for advanced AI deployments, intricate distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments. We partner with the world's most innovative AI companies to address their most challenging technical problems. In this role, you will develop innovative solutions that advance AI infrastructure capabilities and directly influence customer success with breakthrough AI initiatives.

$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 role is integral to a team that delivers features and improvements to realize the full potential of NVIDIA hardware for a wide range of computational 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 by collaborating with peers across NVIDIA.

$152k - $288k

NVIDIA is seeking a Senior Software Engineer to advance the C++ foundation of CUDA Core Libraries. This role involves designing and optimizing high-performance algorithms and APIs for C++ developers, contributing to the foundational libraries, algorithms, and language/runtime infrastructure that power CUDA. You will be responsible for the full lifecycle of features, from design and implementation to testing, profiling, and maintenance, ensuring a speed-of-light experience for developers and AI coding agents.

$184k - $357k

NVIDIA is seeking software engineers to work on the CUDA driver for Windows. CUDA is NVIDIA's 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, from deep learning and scientific computation to video games and virtual reality. 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 shape the future direction of CUDA as you collaborate with your peers across NVIDIA.

$184k - $357k