Find your next AI Engineering role

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 Software Engineer I, Inference to join their AI Cloud team. This role involves owning specific areas of the inference platform, leading design efforts, and improving latency, throughput, and reliability. You will collaborate with product, orchestration, and hardware teams to enhance a Kubernetes-native inference platform and meet strict service level agreements at scale. The position requires a strong focus on engineering standards, incident management, and mentoring junior engineers.

$139k - $204k

CoreWeave is seeking an early member for its Applied Training team to build the research infrastructure that enables AI pioneers to train models with confidence. This role addresses the problem of AI labs spending valuable research time on cluster setup and operations instead of innovation. You will contribute to the roadmap and develop solutions for our Kubernetes-native research cluster platform or sandbox client for agentic training and evaluation, aiming to provide frontier lab-level infrastructure to all CoreWeave customers.

$182k - $242k

CoreWeave is seeking a Senior Software Engineer to join the Applications Engineering team, which builds the software used to plan and operate CoreWeave's infrastructure business. This role involves building full-stack applications and features within the company's data platform, UNION, and owning them in production. The work includes developing natural language interfaces and agents that operate on governed data, along with the necessary evaluation mechanisms. You will collaborate closely with stakeholders to define software requirements and take full ownership of product areas from conception to deployment and maintenance.

$153k - $204k

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 for the Developer Experience (DevEx) team. This role is a high-leverage technical leadership position focused on designing and building the platforms that enable engineers to build and ship software faster, more safely, and with greater confidence. The DevEx team's scope covers the entire developer lifecycle, including onboarding, environments, CLIs, SDKs, CI/CD, testing, delivery systems, artifact management, internal developer platforms, and agentic AI tooling. The work directly impacts developer velocity, system reliability, and the agentic developer experience across a rapidly scaling engineering organization.

$165k - $242k

CoreWeave is seeking a Senior Engineer to join its Benchmarking & Performance team. This role will focus on building performance insights and observability systems for AI infrastructure, covering everything from individual GPUs and interconnects to distributed training and inference workloads. You will be responsible for detecting, diagnosing, and surfacing performance signals across global data centers, transforming raw telemetry into actionable insights for engineers, product teams, and executives. This is a hands-on role focused on building observability tooling that provides near real-time answers about infrastructure performance, rather than a traditional data engineering or BI position.

$182k - $242k

CoreWeave is seeking a Senior Machine Learning Engineer to join the AI Insights team. This role focuses on building customer-facing AI capabilities that leverage machine learning, observability, and production software engineering. You will develop ML systems, services, evaluation frameworks, and product capabilities to enable reliable AI-powered troubleshooting and optimization in real-world environments. The position involves working across the full ML development lifecycle, from problem understanding and data preparation to model development, integration, and performance improvement based on feedback. You will collaborate with cross-functional teams to transform complex problems into robust systems and will have significant ownership of production components while influencing the team's technical direction.

$165k - $242k

As a Senior Forward Deployed Engineer (FDE), you will work directly with customers, embedding within their AI teams to help them build and deploy successful AI agents using the W&B Weave developer toolkit. This is a hands-on, customer-facing engineering role for individuals who thrive in high-impact environments, enjoy solving open-ended technical problems, and want to shape how leading organizations build with AI.

$182k - $242k

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 Principal Software Engineer to own the frontend architecture of the W&B app, which is used daily by ML researchers and engineers. The role focuses on ensuring app performance, stability, and reliability by addressing challenges in data composition and load times. This is a frontend-led position requiring deep architectural understanding and cross-organizational collaboration. You will be responsible for defining architectural boundaries, shaping designs across teams, and executing plans to improve the user experience and product features.

$227k - $303k

As an AI Engineer at CoreWeave, you will design, build, and operate systems that engineers rely on during real customer incidents. This role involves defining the balance between deterministic and AI systems, owning agent logic, retrieval mechanisms, safeguards against bad information, and performance measurement. You will have full ownership of your services from development through production, working closely with the engineers who will use your creations.

$143k - $210k

As an engineer on the Data Team, you will operate as a technical leader on the foundational layer of the platform. This team owns Qualified's data end-to-end, including leads and accounts data models, ETL pipelines, Data 360, Salesforce sync, analytics and insights, data integrations, and Data APIs. Every product area and AI agent depends on this layer being correct, fresh, and fast. This is a newer team with significant greenfield opportunities, where you will shape the architecture of core pipelines and data models, set patterns for other teams, and transform inherited systems into a coherent platform. You will also directly contribute to the intelligence of AI agents by ensuring the data they rely on is accurate and flows seamlessly between systems.

$173k - $260k

As a Senior Software Engineer, you will help drive the automation, design, and operation of the Linux platform that powers the physical Linux client experience all the way up to our large scale AI agent compute platform. You will support Linux environments across physical systems, virtual machines, and public cloud infrastructure while improving their scalability, reliability, and security. This role is ideal for someone who enjoys automating infrastructure, solving challenging Linux problems, and building secure and reliable platforms for next-generation agentic services!

$168k - $270k

NVIDIA is seeking passionate Deep Learning Software Engineers to analyze and improve the performance of NVIDIA's inference ecosystem. Join a rapidly growing team focused on Deep Learning Inference, enabling companies worldwide to power breakthroughs in Generative AI, Recommenders, and Vision. This role involves developing GPU-accelerated deep learning inference software like TensorRT, creating DL benchmarking software, and building performant solutions for model deployment and serving. You will collaborate with the deep learning community to integrate TensorRT into open-source frameworks and optimize state-of-the-art models across various NVIDIA accelerators, from data center GPUs to edge SoCs. The work includes implementing graph compiler algorithms, frontend operators, and code generators within NVIDIA's inference ecosystem, alongside collaborating with diverse teams on workflow improvements, performance modeling, analysis, kernel development, and inference software development.

$124k - $242k

We are seeking a Senior AI Developer Technology (DevTech) Engineer to accelerate the frontier of generative AI training and inference. Our team bridges the NVIDIA platform with developers worldwide, diving deep into customer projects to eliminate bottlenecks and partnering with the developer community to deliver optimal performance on NVIDIA systems. If you are passionate about accelerating advanced AI models and influencing the future of NVIDIA hardware and software, we want you on our team.

$184k - $357k

NVIDIA is seeking an Evaluation/ML-Systems Engineer to join its AI Safety & Security Engineering team. This role is critical in measuring the effectiveness of AI-powered tooling designed to find, validate, and patch software vulnerabilities. You will be responsible for defining progress through benchmarks, ensuring reproducibility of results, and establishing the metrics and protocols that guide the program's conclusions. Your work will directly support security researchers and platform engineers by providing a foundation of evidence-based insights, enabling honest assessment of AI capabilities and claims.

$152k - $242k

NVIDIA is developing advanced foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to the advancement of Physical AI and world models.

$0k - $0k

NVIDIA's Autonomous Systems and Physical AI Research (ASPIRE) group is seeking outstanding Research Interns to contribute to cutting-edge work in autonomous vehicles, robotics, and physical AI. This role involves tackling fundamental research challenges to enable intelligent machines to perceive, reason, and safely interact with the physical world and people. The group focuses on foundational research areas including foundation model design, embodied reasoning, safety, closed-loop training and evaluation, and agentic workflows for Physical AI. Interns will be encouraged to publish their work and open-source their code, collaborating with experts across NVIDIA to influence real-world products while conducting groundbreaking research.

$0k - $0k

We are seeking PhD research interns to advance the next generation of large language models using reinforcement learning. Our applied deep learning research team pioneers projects like Megatron, MT-NLG, and DLSS, building state-of-the-art foundation models and developing new methods to enhance their reasoning, alignment, reliability, and ability to solve real-world tasks. This internship will focus on algorithmic research at the intersection of reinforcement learning and large language models, involving the design, implementation, and evaluation of new RL-based methods for improving LLM behavior through hands-on experimentation and rapid prototyping at scale.

$0k - $0k

Join the Autonomous Vehicle (AV) Applied Research team to advance safe autonomy using generative world models and synthetic data. This internship offers the chance to collaborate with researchers and engineers on next-generation models for understanding, simulating, and reasoning about complex driving environments. We seek a motivated intern with a strong machine learning background and interest in generative world models, multimodal foundation models, and synthetic data generation. The team works closely with NVIDIA Research and the AV organization to develop scalable methods for training, evaluating, and improving autonomous systems, focusing on generative video and world models, controllable scenario generation, multimodal learning, end-to-end driving, 3D computer vision, and data-centric learning. The goal is to use generative models to create diverse, safety-critical driving experiences that enhance the robustness and generalization of autonomous systems.

$0k - $0k

NVIDIA is seeking an exceptional computer vision and deep learning intern researcher for its spatial intelligence lab. The team focuses on research that pushes boundaries and has real-world impact. Interns will engage in research, design, and implementation of methods related to key topics such as generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, and vision-language models. A significant outcome of the internship is the publication of original research, alongside collaboration with internal and external researchers.

$0k - $0k

NVIDIA's Seattle Robotics Lab is seeking PhD-candidate interns to contribute to cutting-edge research in robotics and AI. This role offers a unique opportunity to work at the intersection of academic research and industry impact, focusing on the full robotics stack from perception to foundation models. Interns will play a pivotal role in developing algorithms, integrating methods into real-world systems, and contributing to high-impact publications and code releases. The lab has a strong track record of influential research and has significantly impacted NVIDIA's robotics and simulation products.

$0k - $0k

NVIDIA is seeking a world-class generative AI intern to join the Fundamental Generative AI research team. This role focuses on pushing the boundaries of generative models for various data types including image, video, 3D, graph, and multimodal data, with applications in science such as drug discovery and climate modeling. The intern will collaborate within a research team known for top-tier machine learning publications and contribute to impactful, real-world advancements.

$0k - $0k

NVIDIA is seeking a PhD intern to join the Deep Learning Efficiency Research (DLER) team, focusing on research that pushes boundaries and has real-world impact. The team's core areas include efficient diffusion language and multimodal generative models, as well as efficient agentic AI with hybrid inference orchestration. We are also interested in post-training model optimization, efficient architecture design, adaptive inference, and resource-efficient training and finetuning. You will collaborate with a research team that consistently publishes at top venues, contributing to technologies that can impact NVIDIA's products.

$0k - $0k

NVIDIA Research is seeking leading researchers in the area of simulation and AI for quantum. You should have a strong background of research excellence, software systems building experience, and interest in advancing the state-of-the-art in quantum computing and applications of GPUs to the quantum computing ecosystem. Specific areas of research interest include but are not limited to bespoke quantum representations, tensor network methods, quantum surrogate modeling, quantum inverse design, and automated proving for quantum systems. This role involves researching and developing creative and innovative algorithms and software systems for the quantum computing ecosystem, collaborating with research and product teams, and publishing original research.

$0k - $0k

NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group, focusing on learning embodied skills from large-scale human data. The objective is to develop AI systems that can capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters. This research spans the full stack, from reconstructing human motion and interactions from video to generating controllable character behaviors, transferring motion across embodiments, and training grounded controllers for robots and virtual characters. Interns will collaborate with a supportive research team producing influential work and have opportunities to connect with product teams across NVIDIA.

$0k - $0k

NVIDIA is developing world foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to advancements in Physical AI and world models. This role involves conducting research, developing algorithms, training and evaluating large-scale models, collaborating with cross-functional teams, and publishing research findings.

$0k - $0k

NVIDIA is seeking a research intern to contribute to building humanoid robot foundation models and systems within the Generalist Embodied Agent Research (GEAR) group. The mission is to create general-purpose embodied agents capable of learning and mastering complex skills in both virtual and physical environments. You will collaborate with a research team known for influential work in multimodal foundation models, large-scale robot learning, game AI, and physical simulation, contributing to significant research projects and product roadmaps, including recent milestones like Project GR00T.

$0k - $0k

NVIDIA is seeking interns for the Learning and Perception research team to work on embodied and agentic AI, including areas like perception, agentic reasoning, multi-modal and continual learning. This role offers the opportunity to contribute to research that pushes boundaries and has real-world impact, with a collaborative team environment and experienced mentors. Internship projects are tailored to match interns' expertise, and past interns have a strong track record of publishing at top venues and often return for subsequent internships.

$0k - $0k

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 Research's Human Performance and Experience (HPX) team is seeking passionate individuals for a PhD Research Intern position focused on cross-disciplinary vision science between humans and machines. This role involves collaborating with research scientists, engineers, and product engineers to address real-world problems at the intersection of computer vision, human vision science, and robotic vision. The internship offers an opportunity to contribute to AI innovation and shape the future of human-AI interaction.

$0k - $0k

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

NVIDIA Research is seeking PhD interns for the AI-Aided Engineering (AIE) team. This role involves developing novel AI methods for physical simulation and engineering design, with a focus on neural operators, geometric representations, and large-scale learning. Interns will work with experienced mentors on impactful research, with opportunities to publish in leading conferences and journals. Projects will be tailored to interns' expertise, aiming to advance the field and transfer research into practical applications.

$0k - $0k

NVIDIA Research is seeking PhD-level students for a research internship focused on AI hardware/software co-design, hardware accelerator architecture, IC design methodology, and VLSI design. The ideal candidate will possess a broad understanding of machine learning fundamentals, quantization and numerical methods for model optimization, digital VLSI circuits, and advanced VLSI design and verification methodologies, including the application of agentic AI to hardware design. This role involves contributing to cutting-edge research in AI accelerators and VLSI design, exploring innovative numerical methods, and potentially collaborating on research prototype testchips.

$0k - $0k

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

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for their 2027 Autonomous Vehicles and Robotics internships. This 12-week full-time program offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading teams. Interns will work on projects with a measurable business impact, contributing to NVIDIA's pioneering work in AI and digital twins that is transforming major industries.

$0k - $0k

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