CUDA Jobs

NVIDIA is seeking a dedicated Software Engineer, ML Performance to join our team in Santa Clara, CA. In this role, you will engage directly with the latest AI technologies and work on optimizing performance at an outstanding scale. Your expertise will ensure that our groundbreaking solutions operate flawlessly and continue to lead the industry. You will be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

$224k - $357k

NVIDIA is seeking a Software Engineer, Performance Instrumentation to join their team in Santa Clara, CA. This role offers an exciting opportunity to contribute to groundbreaking projects at the intersection of AI and accelerated computing. You will be instrumental in defining and maintaining performance data requirements, identifying and addressing visibility gaps, and ensuring the quality and efficiency of instrumentation APIs. This position requires a strong background in software engineering with a focus on performance and data quality within machine learning or systems software environments.

$168k - $270k

Anduril Industries is seeking a High Performance Computing (HPC) System Engineer to directly support sensitive programs by building and maintaining large-scale HPC infrastructure. This role offers the opportunity to work with leading engineers and cybersecurity professionals on cutting-edge systems deployed globally for national security missions. You will be instrumental in architecting, deploying, and managing advanced GPU infrastructure, ensuring the seamless operation of critical compute environments.

$147k - $196k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence. These robots are engineered to perform a variety of tasks in home and commercial markets. We are seeking a Staff AI Inference & Acceleration Engineer to join our Platform Software team. This role will be responsible for the on-board inference architecture for our humanoid robots, acting as the technical authority on how AI workloads are mapped, optimized, and executed across the robot's compute hardware. The primary objective is to reduce power consumption and cost while meeting strict latency and reliability demands for a real-time autonomous system.

$180k - $275k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping human-level intelligence. The Helix team is seeking an experienced AI Training Performance Engineer to elevate model training. This role focuses on enhancing distributed training frameworks for large-scale model training, optimizing GPU kernels, evaluating different accelerator types, and co-designing models for maximum hardware utilization.

$200k - $400k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence. These robots are engineered to perform a variety of tasks in both home and commercial markets. This role will focus on developing the perception systems for these robots, encompassing onboard computer vision, localization, visuomotor policies, and offline data annotation.

$200k - $400k

CoreWeave is seeking a Principal Engineer to lead its Benchmarking & Performance team. This role will be responsible for a global performance data warehouse, ingesting, storing, transforming, and analyzing performance events across all data centers. You will also play a key part in industry-leading performance benchmarking publications, working closely with NVIDIA and the open-source community to demonstrate CoreWeave's performance and reliability leadership in AI.

$206k - $333k

The CRAFT (Capabilities, Routing, Adaptation & Fine-Tuning) team at CoreWeave is focused on developing tools that enable AI agents to learn from experience, a crucial step towards autonomous long-task execution. The team has already released innovative projects like ART for RL, RULER for reward functions, and Serverless RL for infrastructure management. They are now tackling remaining challenges in agent training, such as reducing human labor in environment creation and improving data efficiency. This role offers a significant opportunity to contribute to hard-tech advancements in a rapidly growing market, with the potential to shape the future of self-improving AI agents.

$182k - $242k

CoreWeave is seeking a Senior Engineer for its Benchmarking & Performance team, focusing on GPU kernel authoring and optimization. In this role, you will be responsible for writing, profiling, and tuning GPU kernels that are critical for large-scale model serving, aiming to maximize throughput and minimize latency. You will also contribute to industry-leading performance benchmarking publications. This position requires an individual who can lead designs, improve engineering standards, and deliver significant enhancements to latency, throughput, and reliability across the inference stack. You will collaborate with product, orchestration, and hardware teams to translate kernel-level optimizations into system-wide improvements and meet stringent Service Level Agreements (SLAs) at scale.

$182k - $242k

CoreWeave is seeking a Senior Software Engineer focused on Inference to join their team. In this role, you will be an area owner, responsible for leading designs, elevating engineering standards, and delivering significant improvements in latency, throughput, and reliability across multiple services. You will collaborate with product, orchestration, and hardware teams to enhance our Kubernetes-native inference platform and meet stringent P99 SLAs at scale. This is an opportunity to work on a cutting-edge AI cloud platform during a period of hyper-growth, contributing to innovative solutions for complex problems.

$152k - $204k

CoreWeave is seeking a Senior Engineer for its Benchmarking & Performance team. This role will be instrumental in managing a planet-scale performance data warehouse, handling the ingestion, storage, transformation, and analysis of performance events across global data centers. The engineer will also contribute to industry-leading performance benchmarking publications like MLPerf. The position involves owning designs, elevating engineering standards, and driving measurable improvements in latency, throughput, and reliability across multiple services. Collaboration with product, orchestration, and hardware teams will be key to evolving the Kubernetes-native platform and meeting stringent P99 SLAs at scale.

$182k - $242k

SpaceXSI is building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack—from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization—to make training and inference at SpaceXSI as fast, reliable, and scalable as possible. This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate Grok's training speed and overall AI progress.

$180k - $440k

Perplexity is seeking a Member of Technical Staff to join their GPU Cluster Infrastructure team. This role will own the underlying GPU infrastructure that powers Perplexity's AI inference requests, which serve hundreds of millions of queries monthly. The goal is to abstract away the complexity of GPU provisioning, cluster configuration, and multi-cloud management into a unified, self-serve platform for both training and inference workloads. You will be responsible for the entire lifecycle of the GPU fleet, ensuring reliability, efficient capacity utilization, and seamless operation across different cloud providers.

$250k - $485k

NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads. This role focuses on optimizing NVIDIA’s high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance training on thousands of GPUs. You will also help shape hardware roadmaps for the next generation of GPUs powering the AI revolution. This is an opportunity to collaborate with forward-thinking individuals and shape the future of AI in a creative and autonomous work environment.

$184k - $357k

NVIDIA Research is seeking PhD-level students for a research internship focused on groundbreaking work at the intersection of AI, GPU computing, Formal Methods, and Electronic Design Automation (EDA). This role offers the chance to influence the future of chip design, which is being transformed by AI and GPU acceleration. Interns will gain broad exposure to EDA algorithms, agentic AI, LLMs, and GPU computing, with specific research interests including GPU-accelerated optimization, physical design, formal methods, agentic AI, and reinforcement learning techniques.

$0k - $0k

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 Senior Validation Engineer to join the DGX Server Product Engineering Team. In this role, you will collaborate with a team of hardware and software engineers to develop and implement sophisticated automated test plans for our leading GPU-accelerated computing products. You will be instrumental in ensuring the performance and reliability of cutting-edge AI hardware by developing and tuning workloads, adapting state-of-the-art AI training and inference frameworks, and applying architectural analysis to characterize workload behavior and identify bottlenecks. This position offers the opportunity to make a significant impact on the future of computing by working on AI-driven technologies.

$136k - $259k

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

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

NVIDIA is seeking a Senior Systems Software Engineer to focus on GPU Performance at Scale. In this role, you will drive innovation in AI and GPU computing by contributing to world-class computing hardware and software. You will provide insights into large-scale system composition and tuning for high-performance compute runs, collaborating with researchers, developers, and customers to create improved workflows and develop new solutions. You will also engage with HPC, OS, CPU, GPU compute, and systems specialists to architect, build, and optimize large-scale performance platforms.

$184k - $357k