Entry-Level AI Engineering Jobs

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

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 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 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 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

Composio

Composio is building infrastructure that enables AI agents to communicate with essential work tools like Github, Gmail, and Notion. We are a growing company that has successfully raised significant funding and experienced substantial ARR growth, serving a diverse range of clients from startups to established enterprises. Our mission is to provide a robust bridge between AI agents and the tools people use daily.

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This 11-week paid internship offers a unique opportunity to gain hands-on experience in Artificial Intelligence (AI) and emerging technologies. You will work on real projects, not busywork, and collaborate with a supportive team to develop, optimize, and integrate AI-driven solutions. The program focuses on enhancing customer experience and improving operational efficiency through AI, with an emphasis on Generative AI, prompt engineering, and machine learning. You'll be paired with mentors, build relationships across the company, and have the chance to make an immediate impact with your creative ideas.

$0k - $0k

Join Graphcore's Graduate Programme for a two-year, hands-on learning experience in AI and machine learning test systems. You will apply your software skills to test how AI and ML workloads perform on Graphcore's accelerator hardware. This role involves creating representative ML workloads, analyzing their numerical accuracy and performance, and designing tests to improve testing strategies and infrastructure across simulated and physical hardware. You will also build CI/CD pipelines, troubleshoot complex issues, and translate findings into measurable improvements, bridging the gap between ML frameworks and hardware to enhance software quality and customer experience.

From £45k

Accenture

We are seeking AI-native engineers who integrate AI as a core part of their workflow, not as an add-on. In this role, you will design, build, and ship production-grade software across the full stack, leveraging AI-assisted tooling as a standard daily practice alongside your core engineering skills. You will work on client programs across various industries, building software that connects to and supports agentic AI systems. This involves understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is a core engineering function with a direct pathway to advanced roles for those who develop agentic depth.

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We are building reusable, reliable AI infrastructure for engineering teams, transforming technical documents, source code, and engineering data into accessible knowledge and enabling AI agents to perform complex engineering tasks. In this role, you will design and develop knowledge platforms, LLM service integrations, and agent execution frameworks, taking AI capabilities from prototypes to maintainable production systems for knowledge retrieval, test development, code review, and failure analysis.

Salary not listed

Join Graphcore's Graduate Programme for a two-year, hands-on learning experience in AI Compute Libraries & Performance. You will contribute to C++ libraries and compute kernels for machine learning workloads, focusing on developing and optimizing operations, understanding performance bottlenecks, and ensuring the correctness and reliability of software that runs AI models on next-generation Graphcore hardware. This role offers a supportive team environment, mentorship, and opportunities to develop practical experience connecting numerical computing with hardware implementation.

From £45k

NVIDIA is seeking a PhD research intern to advance world foundation models within NVIDIA Cosmos for Physical AI. This research will explore new model architectures, training objectives, and efficient training and inference for multimodal generation and action-conditioned prediction, with a focus on physical plausibility, spatial and temporal consistency, and the modeling of human appearance, motion, and interactions. The intern will collaborate with NVIDIA researchers and engineers to define and pursue a focused research project, develop new methods, and demonstrate measurable improvements through rigorous experimentation, with projects tailored to team priorities and the intern's research strengths.

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Join Graphcore's Graduate Programme for a two-year, hands-on learning experience in a permanent role. You will be trusted to take ownership, share ideas, and contribute to shaping innovative AI systems. This program offers the opportunity to tackle challenging problems alongside a supportive team dedicated to your development and success. You will gain exposure to cutting-edge AI models and accelerator systems, working across the full stack from hardware to applications, identifying opportunities to innovate and differentiate Graphcore's technology.

From £45k

We are seeking a Performance Engineering Intern to support our investments in performance testing of NVIDIA's datacenter products and applications. You will join the global Performance Lab team, enhancing our ability to accurately benchmark state-of-the-art AI applications and products. This role involves developing infrastructures and solutions to improve data gathering through automation and designing efficient testing processes for diverse applications and hardware. The data collected will inform marketing/sales collaterals and engineering studies for future products. You will collaborate with multi-functional teams in a dynamic environment with multiple concurrent projects and shifting priorities.

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Explore a research career at Graphcore through a PhD internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice, and help shape what we’re creating. You’ll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. You will explore how your research could inform the next generation of AI compute, working alongside researchers tackling questions shaped by real-world hardware and software challenges. Our team is interested in numerous topics across the field, working on problems where algorithms, hardware, and systems meet.

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SambaNova

SambaNova is seeking a new grad ML Infrastructure Engineer to join their team. This role involves writing production Python code for the inference serving stack, including vLLM integration and public APIs. You will contribute to bringing features like speculative decoding, prompt caching, and tool calling into production on the RDU, and develop accuracy and regression tests to ensure quality before customer release.

$131k - $197k

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