CUDA Jobs

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training/deployment for post-training at scale, including SFT, RL, and agent workflows. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding and is looking for individuals passionate about frontier research, infrastructure, and go-to-market strategies in a nascent category.

$150k - $350k

NVIDIA is seeking a Senior Performance Compiler Engineer to join their open-source Triton compiler project. This role focuses on improving AI performance on NVIDIA GPUs by leveraging compiler technology. You will work on cutting-edge AI applications, including large language models and agents, accelerating both training and inference. The position offers a collaborative and supportive environment to push the boundaries of AI computing.

$184k - $288k

We are seeking software engineers to develop next-generation high-speed interconnect technologies for GPU and high-performance computing servers. This role involves close collaboration with hardware architects, silicon designers, and platform software experts to drive innovation in factories and data centers. The ideal candidate will possess strong C++ programming skills, a deep understanding of networking concepts, systems software fundamentals, and current hardware architecture. Excellent communication and meticulous engineering practices are essential for providing robust and efficient solutions to validate and test next-generation processors.

$184k - $357k

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and deployment for frontier-scale AI development. We are creating open-source models trained for long-horizon tasks and the full-stack platform our research team uses to build them. We are looking for individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

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 a passionate Senior Perception Software Engineer to design, develop, and productize autonomous driving solutions. As a member of the perception team, you will build world-class perception solutions, designing and implementing software components. You will be challenged to improve the robustness, efficiency, and reusability of these components, working closely with experienced perception engineers and researchers. This role involves executing the full software development lifecycle, writing well-designed, testable code, and integrating perception software into a functional system. You will also develop verification plans, document and maintain software functionality, and debug existing systems, ensuring alignment with project plans and industry standards. A key aspect of the role is deploying state-of-the-art perception DNN models to embedded platforms and analyzing system performance using benchmark data.

$224k - $357k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our production team to create new agentic harnesses and operating systems, transforming hardware development in an AI-native world. Success is measured by how much faster the company moves, not just lines of code. This role is for engineers who thrive on ambiguity, possess strong product sense, and want to own problems end-to-end, acting as a launchpad for future founders. The problems are time-sensitive and business-critical, and the role demands dedication beyond a typical 9-5.

$150k - $400k

d-Matrix is seeking a Senior Staff Inference Performance Engineer to join their Inference Cloud Engineering team. This role is responsible for the end-to-end performance of workloads deployed on d-Matrix's inference services, ensuring they perform at least as well as on bare metal. The engineer will diagnose and isolate performance issues across the full serving path, from orchestration to inference internals, and will be responsible for either fixing problems directly or handing them off to the appropriate owning team with clear evidence. The role involves assessing scalability, defining node requirements for optimal deployment, and building telemetry and benchmarks to support these efforts. The ideal candidate will mentor other engineers in a profiling-first methodology.

$175k - $265k

Aleph Alpha is seeking a Senior Performance Engineer to join their pre-training efficiency team in Heidelberg. This role focuses on optimizing the systems required to train foundation models at scale, aiming to maximize hardware utilization and training throughput on large-scale GPU clusters. You will work at the intersection of deep learning frameworks, distributed systems, and GPU microarchitecture to eliminate bottlenecks from the Python layer down to the GPU kernel. The team fosters a culture of ownership, autonomy, and empowerment, with a flat organizational structure that enables quick decision-making and open communication.

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 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 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

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 ambitious and creative individuals for its Spring 2027 Developer and Performance Technology internships. These 8-12 month full-time internships offer a unique opportunity to gain hands-on experience with industry-leading Deep Learning teams, working on projects that have a measurable impact on NVIDIA's business. Interns will tackle complex challenges in areas such as AI, digital twins, gaming, robotics, self-driving cars, and virtual worlds. The program is designed for students pursuing a B.S. or M.S. degree in a relevant field, providing a chance to expand their careers and contribute to transformative technologies.

$0k - $0k

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for its 2027 Deep Learning internship program. This 12-week full-time internship offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading Deep Learning teams. Interns will work on projects with a measurable impact on NVIDIA's business, contributing to advancements in AI and digital twins that are transforming major industries. We are looking for students pursuing a B.S., M.S., or Ph.D. degree in a relevant field who are passionate about tackling complex challenges.

$0k - $0k

NVIDIA is seeking strategic, ambitious, hard-working, collaborative, and creative Ph.D. Engineering interns to join their Computer Architecture and Systems teams for Summer 2027. This internship offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading technologies. Interns will design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems, with the potential to transfer their research to product groups, resulting in prototypes, patents, products, or published research.

$0k - $0k

NVIDIA is seeking interns to research scalable differentiable algorithms, including adjoint and automatic differentiation methods. This role will involve connecting simulations with experimental data for calibration and data assimilation using AI/ML techniques. The work will be evaluated on simulation workloads and assessed for integration into NVIDIA software. This internship is ideal for individuals passionate about mathematics, code, hardware, and engineering applications.

$0k - $0k

We are seeking an exceptional hands-on engineer to help our partners and customers make demanding physics and robotics simulation workloads run exceptionally well on NVIDIA platforms. You will work at the intersection of algorithms, mathematics, GPU architecture, and production software to find the true limits of real applications and turn that understanding into durable code and actionable feedback for NVIDIA engineering teams. This role is for someone with a recognizable technical body of work: not someone who merely used advanced systems, but someone who took stewardship of one and made it substantially better.

$224k - $431k

NVIDIA's Architecture Research Group is seeking a PhD intern to contribute to defining the future of GPU and data-center computing. This role involves exploring foundational research questions in areas such as GPU microarchitecture, memory systems, large-scale data-center hardware, and emerging accelerators, with a focus on the architectural implications of AI and scientific computing workloads. The intern will apply knowledge of computer architecture, parallel computing, compilers, and runtime systems to identify and develop new hardware and hardware-software co-design opportunities, working alongside researchers and product architects to formulate research questions, evaluate concepts, and build necessary models and simulators.

$0k - $0k