GPU Jobs

Join NVIDIA's Modular Diagnostics team and lead AI-powered innovation. Our team develops key diagnostic applications and infrastructure to test every NVIDIA GPU, ensuring flawless performance before launch. As a Senior Software Engineer, AI Infrastructure Solutions, you will build intelligent automation to speed up critical engineering workflows and improve GPU validation speed and quality.

$152k - $242k

As a Senior Engineering Manager for Agentic Systems & Platform Architecture, you will lead the strategy and execution for NVIDIA’s agentic developer platform. This role involves deeply understanding how teams across the company build, evaluate, and improve autonomous agents, and translating these evolving patterns into scalable platform capabilities. You will identify gaps and friction, drive rapid proof-of-concepts on emerging agent constructs and ecosystem tools, and operationalize the best approaches into reusable building blocks, integrations, and governance mechanisms. The goal is to accelerate developer productivity and agent quality, enabling teams to safely ship more autonomous systems at NVIDIA scale.

$272k - $431k

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for its 2027 Deep Learning Computer Architecture internships. This 12-week full-time program offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading Deep Learning Computer Architecture teams. Interns will work on projects with a measurable impact on NVIDIA's business, tackling complex challenges in AI and digital twins that are transforming major industries.

$0k - $0k

Databricks

Databricks is seeking a Senior Software Engineer for its AI Runtime (AIR) team. AIR is a managed platform designed for large-scale GPU training and fine-tuning of AI models, providing customers with on-demand access to accelerators and a serverless experience that simplifies the complexities of provisioning, scheduling, and orchestrating multi-node jobs. As a Senior Software Engineer on AIR, you will be instrumental in building and scaling the systems that ensure large-scale training is fast, reliable, and effortless. You will lead the architecture and evolution of the managed GPU training stack, focusing on areas such as scheduling, distributed training performance, fault tolerance, and the developer experience for large-scale job operations. Beyond hands-on system development, you will contribute to the technical vision for AIR, mentor engineers, and collaborate with product, research, and platform teams to expand the impact of custom AI training at Databricks.

$160k - $225k

Relace is building a globally distributed inference cloud, competing on price, speed, and reliability. We process over 800 billion tokens daily and have experienced significant growth, backed by a $23 million Series A funding round. Our team is small, offering substantial responsibility and growth opportunities. We develop our own stack, running on Kubernetes across multiple clouds, where performance directly impacts business success. This role focuses on the lowest level of our stack, optimizing code that runs directly on GPUs to maximize work per second and dollar, shrink models for cost-efficiency without sacrificing quality, and eliminate GPU idle time.

Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. DAIR is an industrial research lab motivated by practical challenges in observability and software operation, focusing on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor.

$110k - $140k

NVIDIA's TensorRT team is seeking talented engineers to advance high-performance AI inference on NVIDIA GPUs. This role focuses on developing software that accelerates state-of-the-art generative AI models for local and enterprise deployments. You will tackle challenging problems in GPU code generation, just-in-time compilation, and inference optimization to deliver high performance across diverse models and hardware configurations. As a Senior Software Engineer, you will design and implement advanced GPU inference software, translating a deep understanding of GPU execution into efficient code generation and measurable improvements in generative AI inference.

$152k - $288k

NVIDIA is seeking a system software engineer to develop low-level diagnostic software for next-generation data center GPUs and rack-scale AI systems. The team builds software that exercises and validates complex hardware, including compute engines, memory and cache subsystems, NICs, PCIe and NVLink interfaces, power delivery, and thermal behavior. This role is ideal for an embedded, firmware, device-driver, hardware-validation, or systems software engineer who enjoys working close to hardware. You will own well-scoped components of the diagnostic software from design through implementation, validation, productization, and field support, collaborating with various engineering teams to bring up new hardware and diagnose system failures.

$124k - $196k

NVIDIA is seeking research interns with a strong background in applying modern AI methods to re-imagine technology across Earth System Simulation and Analytics. This role involves research on applied topics such as generative data assimilation, hybrid climate simulation, full model emulation of climate model components, regional-to-global high-resolution AI autoregressive weather prediction, and dynamical downscaling. We are looking for creative, independent, and self-starting individuals to help invent the future of AI in climate science. The ideal candidate will have strong computer science skills with knowledge of physical domain sciences, or strong domain science skills with sufficient technical expertise. Join a diverse research group that tackles challenging interdisciplinary problems, publishes at top venues, and drives real impact on NVIDIA products and global climate prediction.

$0k - $0k

NVIDIA Nsight Compute develops groundbreaking performance tools for GPUs, catering to both newcomers and expert CUDA developers. Join our team to craft the future of profiling tools, helping engineers harness the full power of GPU technology for AI and High Performance Computing breakthroughs. You will design and implement innovative features for our GPU performance profiling tools with a focus on AI applications, build tools instantly used by CUDA developers worldwide, and collaborate with internal teams like the compiler and CUDA driver teams to influence and design new features from the bottom up.

$152k - $288k

NVIDIA is at the forefront of the AI revolution, powering innovations from self-driving cars to intelligent assistants. Join a diverse applied research team focused on building next-generation Conversational AI systems. The team works on novel language models for code and mathematics reasoning, having developed a model that won the latest Kaggle AI MO competition. They also create algorithms to accelerate the training of large models on their GPU cloud and release new models through NeMo, an open-source toolkit for Conversational AI used by numerous companies for applications like customer service and voice assistants. Collaboration extends to research and product teams, as well as leading academic machine learning labs.

NVIDIA is seeking a graduate research intern to advance integrated sensing and communications (ISAC) on GPU-accelerated platforms. The intern will join a team building AI-native wireless systems and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed. This role is ideal for a student passionate about deep algorithm work and translating ideas into functional systems.

$0k - $0k

NVIDIA is seeking a Senior Compiler Engineer to join our GPU Software organization. In this role, you will be instrumental in delivering features and improvements that maximize the potential of NVIDIA hardware across diverse computational workloads, including deep learning, scientific computing, autonomous vehicles, and gaming. Our compiler organization plays a critical role in every GPU NVIDIA produces. You will focus on the CUDA compiler front end, developing language features, diagnostics, and capabilities that empower both human developers and AI agents to create correct and high-performance GPU code. This position offers the opportunity to expand your expertise into other areas of the compiler stack, such as the LLVM-based optimizer, code generation, and MLIR.

$152k - $242k

ElevenLabs is seeking an engineer to join their research infrastructure team to ensure their NVIDIA GPU clusters are fast, reliable, and performant. This is a builder-operator role with significant autonomy, where your impact will be directly measured by training throughput and researcher velocity. You will be responsible for the entire stack beneath the training code, from OS images and NVIDIA drivers to high-speed networking and job scheduling. The role involves both hands-on hardware work and writing automation to eliminate manual tasks, with a focus on maintaining cluster security and performance.

As a Senior AI Engineer, you will be at the forefront of our Generative AI initiatives, treating AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features, taking them from initial prototype to robust, scalable production services, while solving for real-world constraints like latency, error handling, and cost optimization. You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.

$159k - $219k

Together AI

We are seeking a software engineer to develop a Kubernetes-native control plane for provisioning and managing our GPU inference fleet. This role involves designing a manifest-driven API that allows the inference team to declare their needs, such as clusters, model deployments, or capacity adjustments. Our controllers will handle the underlying reconciliation, provider/runtime selection, and lifecycle management, abstracting away the complexities of the serving stack, scheduler, or hardware pool. You will also build systems to ensure fleet efficiency, including defragmentation, rebalancing logic for consolidating workloads, and scheduling/bin-packing improvements to maximize GPU utilization without compromising latency. The core objective is to decouple platform users from operational complexities while optimizing hardware capacity. This includes developing controllers, reconciliation loops, and self-service interfaces (API/CLI) for seamless operation, alongside event-driven systems for health monitoring, remediation, and utilization management, all designed to operate without human intervention. A product-oriented mindset is crucial, with a focus on building internal platforms and APIs that enhance the developer experience for consuming engineering teams. This role operates under a "you build it, you own it" philosophy, encompassing both software delivery and production support.

$160k - $280k

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

NVIDIA is seeking an AI Hardware Architect to design and analyze the next generation of Artificial Intelligence hardware, focusing on building innovative AI chips and chiplets for the AI infrastructure market. This role involves understanding computer architecture, microarchitecture, and chip design, with opportunities for continuous learning and growth. You will work on groundbreaking GPU and CPU systems, identify areas for improvement, and study the architectural implications of AI applications and models running on NVIDIA hardware.

$184k - $357k

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