Autonomy Engineer Intern - Computer Vision/Deep Learning Summer 2026

Skydio stands as the premier drone manufacturer in the United States and a global pioneer in autonomous flight technology, which is crucial for the future of drone applications and aerial mobility solutions. Our dedicated team merges extensive knowledge in artificial intelligence with top-tier hardware and software product development, operational excellence…

Join Skydio, the foremost drone company in the United States and a pioneer in autonomous flight technology essential for the evolution of drones and aerial mobility. Our team is dedicated to leveraging expertise in artificial intelligence, top-tier hardware, and software development, alongside a commitment to operational excellence and customer satisfaction. We strive to empower a diverse range of drone users, from utility inspectors to first responders and military personnel.About the Role:As a PhD Autonomy Engineer Intern, you'll be at the heart of our operations, developing computer vision algorithms that enable our drones to perceive their environment. You'll collaborate with a world-class team of researchers and engineers, taking ownership of projects that significantly enhance our products' capabilities.We welcome interns throughout the year (Fall, Spring, Summer) to join our innovative program. This is an exceptional opportunity for those with a strong mathematical background and software development skills who aspire to contribute to the advancement of autonomy algorithms in real-world applications.Your Impact:Drive the rapid R&D of intelligent systems with unmatched autonomous capabilities.Explore, prototype, and evaluate new approaches to enhance our technology.Design and implement innovative features that deliver exceptional value to users.Analyze and measure the performance of vital software and hardware components.

Skydio stands as the preeminent drone company in the United States and a global leader in autonomous flight technology, which is vital for the future of drones and aerial mobility. Our team is comprised of experts in artificial intelligence, cutting-edge hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We aim to empower a diverse range of drone users, from utility inspectors to first responders and military personnel in various scenarios.About the Role:At the heart of our autonomy system is the ability to learn a semantic and geometric understanding of the world through visual data. We are at the forefront of real-time deep learning networks, striving to enhance intelligent aerial robots capable of navigating unknown environments and delivering substantial operational value. If you are passionate about applying deep learning to real-world challenges in computer vision and autonomy, we encourage you to apply.As a Deep Learning Engineer, your primary responsibility will be to train and deploy optimized models for our products. You will tackle complex challenges including optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, and automated path planning.Your Impact:Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system.Utilize vast amounts of real-world video and sensor data for data mining, curation, labeling, training, and evaluation.Employ large-scale diverse synthetic data to enhance deep learning algorithms.Utilize state-of-the-art foundation models for knowledge distillation and efficient learning.Refine and optimize models for low-latency performance on embedded hardware.Develop evaluation benchmarks and metrics to assess the performance of autonomous systems.Contribute broadly to various aspects of the software as required.Your Qualifications:A Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.Proven hands-on experience in designing, training, and deploying deep learning models.Strong ability to produce high-quality, well-architected code (preferably in Python/PyTorch).

Skydio designs and builds autonomous drones in San Mateo, California. Their technology supports professionals across industries, including utility inspectors, first responders, and military personnel. The team combines artificial intelligence, hardware, and software expertise to deliver drones for enterprise, public safety, and defense applications. Role overview This internship centers on deep learning and computational photography for Skydio’s AI-powered aerial robotics. The team extracts semantic and geometric details from visual data, advancing real-time deep learning for autonomous navigation. These efforts enhance camera performance and support inspection, mapping, intelligence, surveillance, reconnaissance, and public safety missions. What you will do Design, implement, and deploy deep learning models for computational photography tasks such as super-resolution, multi-frame denoising, low-light imaging, and HDR imaging. Work with large-scale real-world video and sensor datasets for data mining, curation, labeling, training, and evaluation. Train and optimize models for complex challenges, including multimodal scene understanding, optical flow, range estimation, object detection, segmentation and tracking, visual localization and mapping, few-shot learning, and automated path planning. Who should apply This internship suits those interested in deep learning for imaging, computer vision, and autonomous systems. Candidates who want to tackle practical and technical challenges in these areas are encouraged to apply.

Skydio stands as the premier drone company in the United States and a global leader in autonomous flight technology, which is pivotal for the future of drones and aerial mobility. Our team merges profound expertise in artificial intelligence with exceptional hardware and software product development, operational excellence, and an unwavering commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors to first responders, and military personnel in various scenarios.About the Role:At the heart of our autonomy system is the ability to learn a semantic and geometric understanding of the world through visual data. We are at the forefront of pushing the limits of real-time deep networks, driving advancements in intelligent mobile robotics.If you are passionate about tackling open-ended challenges in object detection and tracking, motion prediction, flow estimation, and comprehensive scene understanding, while utilizing extensive structured video data, we encourage you to apply.Your Impact:Develop and deploy deep learning solutions to address detection, tracking, segmentation, and optical flow estimation tasks in real-time on Skydio drones.Utilize cutting-edge methods in unsupervised learning, few-shot learning, and foundational models to enhance data-efficient machine learning.Curate and augment synthetic data that fuels our deep learning algorithms in conjunction with vast amounts of structured video data.Refine and optimize models for low-latency performance on embedded hardware.Evaluate and quantify the performance of vision systems.Engage in research and prototype innovative approaches.Act as a versatile contributor across various software domains as needed.Your Qualifications:Proven hands-on experience in creating and deploying deep learning models.Experience in curating both synthetic and real-world image datasets.Strong software engineering background with a dedication to writing clean, well-architected code (proficiency in Python or C++, ideally both).Demonstrated experience in prototyping, training, optimizing, and deploying deep neural networks.Ability to read and contextualize scientific research and literature in computer vision.Capacity to thrive in a fast-paced, collaborative small team environment.

At Skydio, a pioneering force in the drone industry, we specialize in autonomous flight technology that is reshaping the future of aerial mobility. Our team is composed of talented individuals who excel in artificial intelligence, cutting-edge hardware and software development, operational excellence, and an unwavering commitment to customer satisfaction. We aim to empower a diverse range of drone users, from utility inspectors to first responders and military personnel.Role Overview:As an Autonomy Engineer focusing on Deep Learning Model Acceleration, you will play a crucial role in enhancing the semantic and geometric understanding of the world through visual data. You will push the limits of real-time deep networks to drive advancements in intelligent mobile robotics. If you are passionate about utilizing vast amounts of structured video data to tackle challenges in Computer Vision (CV), including object detection, tracking, optical flow estimation, and segmentation, we would love to connect with you.Your Impact:Develop high-performance solutions for deep learning inference tailored for CV workloads, ensuring high throughput and low latency across various hardware platforms.Profile CV and Vision Language Models (VLMs) to assess performance, detect bottlenecks, and discover acceleration/optimization opportunities, enhancing power efficiency in deep learning inference.Design and execute comprehensive MLOps workflows for model deployment, monitoring, and retraining processes.Apply advanced Machine Learning knowledge to utilize training or runtime frameworks or model efficiency tools to boost system performance.Innovate new methodologies for improving training efficiency.Implement GPU kernels for custom architectures and optimized inference processes.Create SDKs that enable customers and external developers to build autonomous workflows using Machine Learning (ML).Utilize your expertise and best practices to uphold and enhance Skydio’s engineering standards.

Skydio stands at the forefront of the drone industry, pioneering autonomous flight technology that is shaping the future of aerial mobility. Our team excels in the realms of artificial intelligence, cutting-edge hardware and software development, and a relentless focus on customer satisfaction. We aim to broaden the accessibility of drone technology to a diverse range of users, from utility inspectors to first responders and military personnel.Our mission is to harness transformative AI to create unparalleled flying machines for both enterprise and governmental use. Central to our autonomy system is the ability to understand the world through semantic and geometric insights derived from visual data. We are continually pushing the limits of real-time deep learning networks to enhance the capabilities of intelligent mobile robots.About the Role:If you’re passionate about utilizing extensive structured video data to tackle challenges in Computer Vision (CV)—including object detection, tracking, optical flow estimation, and segmentation—we would be thrilled to connect with you.How You’ll Make an Impact:Develop high-performance deep learning inference solutions for CV tasks, ensuring high throughput and minimal latency across various hardware platforms.Profile and analyze CV and Vision Language Models (VLMs) to identify performance bottlenecks, optimization opportunities, and enhance power efficiency in deep learning inference workloads.Design and implement comprehensive MLOps workflows for model deployment, monitoring, and re-training.Apply advanced Machine Learning expertise to leverage training/runtime frameworks or model efficiency tools to elevate system performance.Create innovative approaches to enhance training efficiency.Implement GPU kernels for custom architectures and optimized inference.Design and develop SDKs that empower customers and external developers to create autonomous workflows using machine learning.Leverage your expertise to uphold and enhance Skydio’s engineering standards.

Skydio stands as the premier drone company in the United States and a global leader in autonomous flight technology, which is crucial for the evolution of drones and aerial mobility. Our team merges profound expertise in artificial intelligence with exceptional hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We strive to empower a wide and diverse spectrum of drone users, ranging from utility inspectors and first responders to military personnel in challenging environments.About the Position:We are seeking passionate interns for our Summer 2026 program. If you possess a solid understanding of mathematics, theoretical concepts, and software development, and are eager to contribute to the advancement of innovative autonomy algorithms in real-world applications, we want to hear from you. You will collaborate closely with our core software development team and take on ownership of a project that significantly enhances the capabilities of our planning, controls, and product engineering teams.Your Impact:Facilitate rapid R&D of intelligent systems exhibiting groundbreaking autonomous features.Conduct research, prototype, and evaluate the feasibility of novel approaches.Conceptualize and implement innovative features that deliver exceptional value to our users.Analyze and quantify the performance of essential software and hardware components.Qualifications:Demonstrated enthusiasm in one or more areas such as motion planning, dynamics and controls, 3D graphics, computer vision, deep learning, distributed systems, or mobile infrastructure.Strong foundation in software engineering with a commitment to producing clean, well-architected code.High proficiency in C++ and/or Python programming languages.Ability to excel in a fast-paced, collaborative team environment.Compensation: The hourly wage for this position is $47 for undergraduate students and $53 for graduate students. Compensation may vary based on skills, proficiencies, and experience.

Every day, millions of users engage with Roblox to explore, create, play, learn, and connect with friends through immersive 3D digital experiences, all developed by our vibrant global community of creators.At Roblox, we're crafting tools and platforms that empower our community to bring their imaginative concepts to life. Our vision is to transform how people connect from anywhere in the world on any device. We're on a mission to unite a billion individuals with optimism and civility, and we are seeking exceptional talent to help us achieve this goal.A career with Roblox means you will help shape the future of human interaction, tackle unique technical challenges at scale, and contribute to creating safer, more respectful shared experiences for all.In this role, you will leverage computer vision and graphics technologies to enhance how our global community discovers, creates, and interacts within our virtual platform. You will be responsible for developing advanced models to interpret and analyze various content forms—experiences, text, images, videos, and 3D avatars. Your contributions will significantly impact core systems driving the next generation of creation, search, recommendations, and trust & safety initiatives across our expansive ecosystem.We are in search of PhD candidates who are enthusiastic about the convergence of computer vision, graphics, and generative modeling. You will engage in applied research and engineering projects with tangible production impact, enabling innovative ways for creators and players to realize their ideas.

About UsAt Dyneti, we are committed to ensuring that digital payments are both seamless and secure. We have developed DyScan, an innovative software library that empowers digital merchants to prevent fraud while enhancing conversion rates by simply taking a photo of a credit card.Founded by a fraud prevention specialist from Uber, Dyneti has secured backing from a distinguished group of investors, including Y Combinator. Our technology has facilitated the processing of hundreds of millions of credit card scans globally, serving a diverse clientele that includes Fortune 100 companies and rapidly growing tech unicorns.Job OverviewWe invite you to join Dyneti as a member of our founding engineering team. This is a unique opportunity to work closely with our CEO in developing new features and launching innovative products within the deep learning domain.

Who We AreAt Verkada, we are revolutionizing the way organizations protect their people and property through our innovative AI-driven platform. As a frontrunner in cloud-based physical security, we empower organizations to enhance safety and operational efficiency with a unified software solution that encompasses video surveillance, access control, environmental monitoring, alarms, intercom systems, and visitor management.With over 30,000 clients globally, including more than 100 Fortune 500 companies, Verkada stands as a trusted partner in physical security, offering streamlined management, intelligent oversight, and scalable deployment solutions. Since our inception in 2016, we have experienced rapid growth, establishing 15 offices and employing more than 2,200 dedicated professionals.What You Will DoDevelop the frontend for our cutting-edge visual search interface.Facilitate the web UI’s ability to handle computer vision data.Lead projects from conception through to execution with confidence.Enhance encoding and decoding functionalities for 4K video.Collaborate across departments to ensure timely product delivery to our customers.What You BringBachelor's or Master's degree in Computer Science or a related field, or equivalent professional experience.Internship experience in product development and launch.Proven ability to create reusable components and design pixel-perfect user interfaces using CSS preprocessors.Adept at working within an agile software development team.Strong proficiency in JavaScript, with a solid understanding of contexts, prototypes/classes, and closures.Experience with modern web frameworks such as Angular.js, React, or Vue.Familiarity with REST APIs; ability to read Python server code is a plus!Comfortable with SQL, Distributed Systems, Operating Systems, AWS, Docker, etc.Willingness and ability to work onsite five days a week.

About UsAt Verkada, we are revolutionizing the way organizations safeguard their people and assets through our cutting-edge, AI-driven platform. As a frontrunner in cloud-based physical security solutions, we empower organizations with enhanced safety and efficiency through a singular, integrated software platform that encompasses video security, access control, air quality monitoring, alarms, intercoms, and visitor management. With over 30,000 clients globally, including more than 100 Fortune 500 companies, Verkada is the trusted physical security partner for seamless management, intelligent oversight, and scalable implementations. Established in 2016, we have experienced rapid growth, with 15 offices and a workforce exceeding 2,200 dedicated professionals.Recent Projects for This Role IncludeDesigning and deploying a binary classifier using TensorFlow to detect binary states across hundreds of cameras.Identifying unusual object additions or removals within a scene.Counting and monitoring the frequency of objects and people.Your ResponsibilitiesHold a Bachelor’s Degree in Computer Science, ideally with research experience.Possess over 2 years of professional software engineering experience.Have at least 1 year of work or research experience with contemporary neural network frameworks.Exhibit proficiency in at least one practical programming language.Contribute effectively within an agile team software development setting.What You OfferProficient in C++, capable of writing clean, modular code.Familiarity with traditional computer vision algorithms.Experience in training deep learning networks utilizing TensorFlow, Keras, Caffe, or similar frameworks.Strong understanding of data structures and software architecture.Must be willing and able to work onsite five days a week.

At Genesis Molecular AI, we are assembling a premier software engineering team dedicated to revolutionizing drug discovery through advanced machine learning, biophysical simulations, and computational chemistry. We seek passionate engineers eager to contribute to groundbreaking medicine development and play an integral role in enhancing our software platform.Your ResponsibilitiesDevelop and enhance tools for visualizing molecular structures and proteins, analyzing machine learning models, and managing intricate chemical workflows.Collaborate closely with machine learning engineers and medicinal chemists to innovate and implement new computational methods for predicting molecular properties.Assist in scaling our core infrastructure to efficiently process billions of data points and thousands of concurrent deep learning and molecular dynamics tasks.Your ProfileA proficient software engineer capable of writing high-quality code promptly while adhering to our coding standards.A critical thinker who approaches problems from first principles rather than relying solely on established patterns.Eager to expand knowledge about biochemistry and the drug development lifecycle.What We ProvideAn opportunity to contribute to impactful tools and products that are actively utilized to expedite the discovery of novel medicines.A team of highly skilled professionals in AI, software engineering, and chemistry, characterized by intellectual curiosity and humility. Our team engages in weekly discussions of 1-2 research papers in machine learning or chemistry to stay updated and inspire innovative ideas.Application & Hiring TimelineApplication Deadline: April 24, 2026Resume Review Begins: May 4, 2026Interviews Commence: May 11, 2026About Genesis Molecular AIGenesis Molecular AI is at the forefront of creating foundational models for molecular AI, ushering in a new era in drug design and development. Our innovative generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), combines AI with physics to produce and optimize drug development models.

Join Verkada as a Backend Software Engineering Intern for Fall 2026! This unique opportunity allows you to collaborate with industry-leading engineers while gaining hands-on experience in software development. You will be involved in designing, implementing, and maintaining backend systems that are crucial to our innovative security solutions.As part of our team, you will work on real-world projects that will enhance your technical skills and provide valuable insights into the software engineering lifecycle.

Skydio stands as the premier drone company in the United States and the global frontrunner in autonomous flight technology, which is pivotal for the advancement of drones and aerial mobility. Our team is comprised of experts in artificial intelligence, exceptional hardware and software product development, operational excellence, and an unwavering commitment to customer satisfaction, enabling a diverse range of drone users, including utility inspectors, first responders, and military personnel.About the Role:At Skydio, we are focused on significant technological investments in autonomy that lead to innovative products. We are in search of exceptional engineering leaders to expand our autonomy team and realize Skydio's ambitious vision. Our compact team possesses remarkable technical prowess in addressing intricate algorithmic challenges, and we seek to grow to seize forthcoming product opportunities. You will oversee one or more critical areas, including core drone platforms, software architecture, simulation, SDK, object detection, mapping infrastructure, situational awareness, computational photography, and state estimation. Your responsibilities will include managing the execution of the product and technology roadmap, as well as hiring, mentoring, and leading infrastructure investments crucial to our success. We welcome applicants with a diverse range of experiences, from tech leads to senior directors passionate about our mission.Your Impact:Utilize product insights, robotics expertise, and high-quality software engineering to introduce cutting-edge autonomy technology to the market.Achieve complex cross-team objectives by collaborating with product management, embedded systems, mobile, cloud, hardware, and flight test teams, emphasizing outstanding communication.Recruit and mentor top-tier engineers to scale our team effectively.Apply your experience and best practices to maintain and enhance Skydio's engineering standards.Qualifications:Proven hands-on technical leader with substantial software engineering experience.Comprehensive understanding of robotics, computer vision, and software systems.Demonstrated leadership, management, recruitment, team building, and communication capabilities.Strong foundation in 3D geometry, mathematics, and linear algebra.Experience with hardware is advantageous but not mandatory.A passion for constructing flying robots and achieving remarkable feats with them.

Join Skydio, the premier drone company in the U.S. and a global leader in autonomous flight technology, shaping the future of drones and aerial mobility. Our team excels in artificial intelligence, cutting-edge hardware and software development, operational excellence, and a commitment to customer satisfaction, empowering a diverse range of drone users from utility inspectors to first responders and military personnel.About the Internship:We are seeking an enthusiastic Summer Intern to join our Wireless Engineering team, contributing to design validation and data analysis. This role involves creating scalable data processing pipelines and tools to facilitate the effective analysis of wireless validation data collected from bench and factory testing environments.You will collaborate with RF and antenna engineers to enhance the collection, processing, and visualization of wireless performance data, accelerating our product development and manufacturing processes. This internship is an excellent opportunity for individuals passionate about the intersection of wireless systems and cloud-based data engineering.Key Projects You Will Contribute To:Automate data processing pipelines for analyzing RF and antenna validation data from laboratory bench tests.Develop cloud-based tools and dashboards to streamline the ingestion, processing, and visualization of factory test data.Enhance data quality checks and validation frameworks to ensure accurate wireless performance metrics.Collaborate with RF engineers to convert test requirements into scalable analysis workflows.Optimize existing scripts and infrastructure to boost the efficiency and reproducibility of wireless performance analysis.Contribute to the documentation and best practices for wireless data management across development and manufacturing.

Join Verkada as a Frontend Software Engineering Intern for the Fall 2026 semester! You will have the opportunity to work alongside a talented team of engineers to design and develop innovative software solutions that enhance our security and surveillance products.This internship provides a unique platform for you to gain hands-on experience in frontend development, collaborate on exciting projects, and contribute to our mission of making the world a safer place through technology. If you're passionate about coding, eager to learn, and ready to make an impact, we want to hear from you!

Verkada’s AI Software Engineering Internship for Fall 2026 is based in San Mateo, CA. This program brings interns into a team dedicated to building AI solutions that support security and streamline operations. What you will do Collaborate with engineers to design, code, and test features powered by AI Assist in deploying new functionality into real-world products Work on practical projects and gain experience in a professional engineering environment Learning and impact This internship offers the chance to make a direct contribution to meaningful work. Interns learn from experienced engineers and see firsthand how AI addresses real security and operational challenges.

Join Verkada as an Embedded Software Engineering Intern for the Fall 2026 semester! In this role, you will have the opportunity to work on exciting projects that involve the development and enhancement of embedded software solutions. You will collaborate with a team of talented engineers and contribute to innovative products that enhance security and efficiency for our customers.

Skydio stands at the forefront of the drone industry in the US, recognized globally as a leader in autonomous flight technology, which is pivotal for the future of aerial mobility. Our team is composed of experts in artificial intelligence, cutting-edge hardware and software development, operational excellence, and a strong dedication to customer satisfaction. We empower a diverse range of drone users, including utility inspectors, first responders, and military personnel, among others.About the Role:As an Autonomy Engineer, your primary focus will be the development and execution of the core planning and control systems for Skydio’s F10 tailsitter platform. This role presents unique challenges, as the F10 must operate reliably across various aerodynamic regimes while addressing the complexities of faster vehicle dynamics.Your Impact:Design, implement, simulate, and flight test innovative motion planning strategies.Create, refine, and evaluate new flight control systems.Analyze and enhance the aerodynamic and dynamic models of tailsitter aircraft using both simulated and actual flight data.Contribute to hardware design by defining sensor requirements and control authority through rigorous simulation and analysis.Step outside your comfort zone to assist in various areas of the engineering stack as needed.Your Qualifications:Proficient in C++ and Python, particularly in real-time applications.Experience in deploying software that controls physical hardware, such as aircraft, drones, and robotic systems.Solid understanding of aircraft and rotorcraft dynamics.Familiarity with non-linear optimization techniques.Knowledge of modern and classical control theories and practices.Strong foundations in software engineering with a commitment to producing clean, maintainable, and readable code.Experience working collaboratively within a larger codebase.Compensation:At Skydio, we offer competitive salary packages, stock options, and comprehensive benefits for our regular full-time employees. Salary will vary based on skill level, expertise, transferable knowledge, and experience. Relocation assistance may be available for eligible candidates.