Entry-Level AI Engineering Jobs

DataRobot

This internship focuses on enhancing the usefulness of AI agents in real-world applications by providing them with the right tools, context, and persistent memory across conversations and sessions. The core of the work involves the Model Context Protocol (MCP) and agent memory, exploring how agents discover and safely utilize tools, manage learned information, and remain helpful without constant supervision. The ultimate goal is to deliver practical value to daily agent users through clean, extensible implementations.

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We are expanding our research and development for deep learning and are seeking excellent Software Engineers to join our team. We specialize in developing GPU-accelerated deep learning software, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced, customer-oriented team is required, and excellent communication skills are necessary.

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NVIDIA is seeking outstanding Software Engineer Interns to contribute to the development of groundbreaking technologies for AI and deep learning kernel libraries. The team focuses on building core software that accelerates high-impact AI workloads on NVIDIA GPUs, with an emphasis on deep learning primitives, kernel libraries, and performance-critical GPU software. Interns will engage in the design, development, optimization, and delivery of software integral to NVIDIA's AI platform, with opportunities to work on low-level kernels, performance primitives, and efficient implementations for modern AI and deep learning workloads. This role involves contributing to GPU-accelerated deep learning primitives, attention kernel implementations, runtime components, code generation systems, and performance-critical infrastructure for advanced AI applications, collaborating with world-class engineers across various AI software domains.

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NVIDIA is seeking a Deep Learning Compiler Intern for 2027 to join our Architecture group. This role involves contributing to the development of cutting-edge GPU architectures and parallel programming models. You will be immersed in a supportive environment focused on innovation and making a lasting impact on the world through AI and accelerated computing.

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NVIDIA is seeking skilled interns in artificial intelligence computing solutions to join our AI Compute team in Taiwan. This internship offers the opportunity to work on advanced AI systems, contributing to the development of technologies for Large Language Models, Recommender Systems, and Generative AI, while pushing the limits of GPU performance for AI inference. Interns will focus on specialized tracks within TensorRT-LLM for inference optimization or TensorRT Compiler for graph optimization.

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NVIDIA is seeking AI development interns to join our AI Infra team. This team focuses on enabling NVIDIA and its customers to scale deep learning workflows more efficiently. The work involves building infrastructure for data storage, processing, retrieval, and mining, as well as developing tools for workflow orchestration, issue triage, and model KPI evaluation and testing. The team also handles AI data at a massive scale for applications like autonomous driving.

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Salesforce is seeking an early-career, highly driven Value Acceleration Engineer to join their Agentforce for Supply Chain team. In this forward-deployed role, you will work directly with enterprise customers and Customer Success teams to implement AI-powered solutions for supply chain management. Your primary goal will be to compress the customer's time-to-value by designing and building agentic workflows and getting critical business processes live in production within an intensive 90-day window. This role is structured as a rotational "Field Residency," where you will spend the initial 6-12 months mastering production edge cases and customer complexities before transitioning into a core product and engineering pod, bringing valuable frontline insights to shape the future platform.

$117k - $224k

Together AI

As a Research Intern in the Model Shaping team, you will contribute to advanced post-training methods, explore new techniques for efficient neural network training, and work on robust evaluation of foundation model capabilities. The Model Shaping team focuses on tailoring open foundation models for downstream applications, developing services for model selection and improvement, and creating new methods for efficient model training and evaluation. This role offers the opportunity to work on cutting-edge research, potentially leading to publications in top-tier conferences.

$58k - $70k

Together AI

As a Research Intern in the Model Shaping team, you will contribute to advanced post-training methods, explore new techniques for efficient neural network training, and work on robust evaluation of foundation model capabilities. The Model Shaping team focuses on tailoring open foundation models for downstream applications, developing services for model selection and improvement, and creating new methods for efficient model training and evaluation. This role offers the opportunity to work on cutting-edge research, potentially leading to publications in top-tier conferences.

$58k - $70k

Together AI

As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. You will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems, and contribute to the co-design of efficient GPU architectures and programming models. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. This internship is based on-site at our San Francisco HQ, running through the Winter term from January to April.

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Together AI

As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. You will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems, and contribute to the co-design of efficient GPU architectures and programming models. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

$121k - $146k

Together AI

The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, advancing open and transparent AI. This role operates at the intersection of model architectures, high-performance systems engineering, and hardware optimization, focusing on co-designing software, algorithms, and models to reduce the cost and latency of AI systems. As a research intern, you will explore distributed inference, compiler-aware optimization, and novel inference-time computation strategies, co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment, and robust evaluation under realistic serving workloads.

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Together AI

The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, advancing open and transparent AI. This role operates at the intersection of model architectures, high-performance systems engineering, and hardware optimization, focusing on co-designing software, algorithms, and models to reduce the cost and latency of AI systems. As a research intern, you will explore distributed inference, compiler-aware optimization, and novel inference-time computation strategies, co-designing and implementing cross-layer optimizations across models, systems, and hardware.

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Together AI

The Agents team focuses on building, aligning, and scaling advanced AI systems capable of handling complex, multi-step tasks and workflows across text and speech, particularly in agentic and scientific domains. This role sits at the intersection of agent capabilities, human-computer interaction, and infrastructure, exploring areas like post-training methods for agentic behavior and evaluation frameworks for open-ended tasks. As a research intern, you will contribute to cutting-edge agentic AI challenges, addressing issues of alignment, reliability, and scalability. Projects may involve developing new training techniques for self-learning and long-horizon reasoning, curating datasets for scientific and agentic tasks, analyzing agentic behavior failure modes, or building scalable agent operation infrastructure.

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Together AI

The Agents team investigates how to build, align, and scale frontier AI systems capable of complex, multi-step tasks across text and speech, focusing on agentic and scientific domains. This role sits at the intersection of agent capabilities, human-computer interaction, and infrastructure, exploring areas like post-training methods for agentic behavior and evaluation frameworks for open-ended tasks. As a research intern, you will tackle challenges in alignment, reliability, and scalability, potentially working on new training recipes for self-learning, curating datasets for non-deterministic tasks, studying agentic behavior failure modes, or building large-scale agent operation infrastructure.

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NVIDIA is seeking a TensorRT-LLM Software Development Engineering intern to join its AI Computing team. This role involves contributing to the development of inferencing software that powers deep learning breakthroughs in areas like LLM, ChatGPT, and Generative AI. The ideal candidate will work in a fast-paced, delivery-focused team and possess excellent interpersonal skills.

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NVIDIA is seeking a Performance Software Intern for Deep Learning Libraries. This role involves developing optimized code to accelerate linear algebra and deep learning operations on NVIDIA GPUs, contributing to the foundational software that powers AI advancements. The intern will focus on achieving peak GPU efficiency for current and future GPU generations, working with code at a low level, close to the GPU hardware. The team's work is exemplified by the open-source CUTLASS project, which demonstrates performant matrix multiplication on NVIDIA's Tensor Cores using CUDA.

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NVIDIA is seeking a Software Development Engineer to contribute to the TensorRT LLM and TensorRT Edge LLM projects within its AI Computing team. This role involves developing inferencing software that powers deep learning-based AI advancements, including LLMs and Generative AI. The ideal candidate will work in a fast-paced, delivery-focused environment and possess excellent interpersonal skills.

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NVIDIA is seeking passionate Compute/DL Architecture Performance Optimization Interns to explore computer architectures for deep learning and work at the intersection of hardware and software. The role involves mining the ultimate performance of deep learning operators and designing scalable infrastructure to ship highly optimized operators to NVIDIA's software libraries for training and inference.

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telli

This internship is ideal for individuals early in their careers, such as recent graduates, seeking in-depth exposure to startup operations. You will work directly with customers and contribute to scaling AI products in a real-world environment. As a Success Architect Intern, you will collaborate closely with the founders on both onboarding/agent development and customer success initiatives, helping our team ensure customers achieve success with telli. Your responsibilities will include onboarding new customers, developing AI agents, supporting existing accounts, and building processes to facilitate company growth.

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telli

telli is building AI agents to revolutionize how businesses interact with their customers. We enable leading B2C companies to deploy thousands of voice agents, transforming customer experiences. While building a first voice agent is straightforward, achieving real outcomes at scale is challenging. telli empowers companies to build, deploy, and enhance consumer-facing AI voice agents, aiming to lead this critical software category. We are a small, AI-focused team dedicated to solving complex problems through rapid experimentation and leveraging AI capabilities, fostering a culture of ownership, humility, and low ego.

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telli

telli is building the future of customer conversations with AI voice agents. We are a fast-growing, AI-focused company that helps leading B2C companies deploy and improve consumer-facing AI voice agents at scale. As an intern in the Founders' Office, you will work directly with the founding team, gaining hands-on experience in finance, legal, operations, and special projects. This role offers a unique opportunity to see how an early-stage AI company operates and contribute to its rapid growth.

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Eudia is seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join their growing team. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems.

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Join NVIDIA’s Cosmos Lab Infrastructure team to develop training and post-training systems for advanced Physical AI models, including world foundation models and robot policies. Our infrastructure connects training, inference, and evaluation with simulation and real-world robot interaction. You will work with a mentor on a focused project scoped to your experience and internship duration, implementing and evaluating systems improvements on real AI workloads using NVIDIA’s GPU infrastructure.

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