2026 Summer Internship in Perception for PhD Candidates

Waymo is a pioneering autonomous driving technology firm on a mission to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver serves as the backbone for our fully autonomous ride-hail service and has the potential to be integrated across various vehicle platforms and applications. With over ten million rider-only trips facilitated by its extensive experience of more than 100 million miles driven autonomously on public roads and tens of billions of miles in simulation across over 15 U.S. states, Waymo is at the forefront of autonomous technology.At Waymo, machine learning models form the essence of our fully autonomous driving capabilities. These models empower the Waymo Driver to interpret its surroundings, make accurate decisions, and transport individuals safely to their destinations. We tackle intricate technical challenges in perception, planning, and control, collaborating closely with hardware and systems engineers. If you are passionate about Level 4 autonomous driving, we would love to connect with you.As an intern at Waymo, you will collaborate with industry leaders on impactful projects that contribute significantly to our mission. We believe in a reciprocal learning experience: you will apply your expertise while gaining opportunities to expand your skill set. Interns are integral to our culture and serve as a vital part of our talent pipeline. Join Waymo for an engaging and fulfilling internship experience!This internship will be conducted on-site at our headquarters in Mountain View, CA.

About Matic Robotics Matic Robotics is on a mission to give people back their time by rethinking how households handle chores. Each year, people spend a combined 2.5 trillion hours on household tasks. The team at Matic is working to change that with home robotics designed for real homes. The company’s main product, Matic, is a floor-cleaning robot that uses real-time 3D mapping, adaptive path-tracking, and semantic understanding to clean autonomously. With spatial AI breakthroughs, Matic operates reliably using only RGB cameras and on-device neural networks, no cloud processing needed. Privacy Commitment All data processing happens locally on the device, ensuring personal information stays private. Vision and Culture Matic Robotics sees home robots evolving much like smartphones did: starting with one purpose, then expanding to do more. The team values collaboration, focus, and determination, always aiming to build products customers will love. Mechanical Design Engineering Internship – Summer 2026 This internship offers the chance to help shape the next generation of home robotics. Interns work directly on real projects and collaborate with experienced engineers. What You’ll Do Design and help manufacture mechanical components and assemblies for robotic products. Prototype ideas quickly, refine concepts, and support the path from early designs to high-volume production. Create detailed specifications and test plans to support product reliability and lifespan. Test components for performance, durability, and reliability at the part level. Prepare and share finalized component designs and documentation, including 2D drawings. Work closely with teammates from different disciplines to keep designs balanced and cohesive. Build relationships with vendors and suppliers as part of a growing startup team. Location: Mountain View, CA

About CreatifyCreatify is pioneering the world’s first comprehensive AI advertising agent, a cutting-edge platform that automates the entire lifecycle of video advertising—from scripting and avatar-led generation to testing, optimization, and publishing across platforms such as Meta, TikTok, and YouTube.In just 18 months, we have achieved over $10 million in Annual Recurring Revenue (ARR), empowering more than 1.5 million users and 10,000 teams. Renowned brands like Alibaba, HubSpot, Binance, NewsBreak, and Zumper leverage Creatify to craft personalized, high-impact video ads within minutes.We have secured $24 million in funding from prominent Silicon Valley investors including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, and Creator Ventures. Catch our latest press coverage from Fast Company, TechCrunch, Bloomberg TV, as well as our recognition as one of the IVP Enterprise AI 55 in 2024.Located in Mountain View, our team comprises dedicated AI researchers, engineers, and advertising experts. Join us in transforming the advertising landscape with AI.About the RoleWe are on the lookout for a full-time Product Design Intern to assist our design team in crafting user-friendly, high-quality experiences across our platform.As an intern, you will collaborate closely with product managers, engineers, and designers, contributing to design projects that encompass product features, internal tools, and marketing materials. This position is designed to provide a hands-on learning experience within a dynamic startup environment, enabling you to make meaningful contributions to actual product development.Start Date: We prefer candidates who can begin as soon as possible, as this is not a cohort-based role.Work Authorization: Candidates must have authorization to work in the U.S. We encourage applications from individuals eligible under CPT or OPT.

Join Waymo as an Applied Research Scientist focusing on Perception LLM/VLM technologies. In this role, you will contribute to cutting-edge research and the development of advanced algorithms that enhance our self-driving technology.

About Us:Aeva is at the forefront of perception technology, revolutionizing a myriad of industries including automated driving, industrial robotics, consumer electronics, consumer health, and security. Our mission is to pioneer the next generation of perception technologies, integrating essential LiDAR components into a compact silicon photonics chip. Our cutting-edge 4D LiDAR sensors offer unique capabilities, such as instant velocity detection alongside 3D positioning, empowering autonomous devices like vehicles and robots to make smarter, safer decisions.Role Overview:We are seeking a passionate and experienced Senior Perception Engineer to enhance our classical perception algorithms stack. As a critical member of our dynamic team, you will delve into the capabilities of Aeva’s 4D FMCW LiDARs, pushing the boundaries of autonomous driving performance further than ever before.

Waymo is leading the way in autonomous driving technology with a mission to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance accessibility to transportation while preventing countless lives lost in traffic accidents. Our innovative Waymo Driver underpins our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated by our technology, we have driven more than 100 million miles on public roads and logged tens of billions of miles in simulation across more than 15 U.S. states.The Perception Evaluation team at Waymo is pioneering advancements in autonomous driving, prioritizing the safety and reliability of our self-driving systems. Our team leverages state-of-the-art tools and methodologies to rigorously evaluate the performance of our perception systems, which are essential for the safe and effective operation of autonomous vehicles. We are currently seeking a Software Engineer to be instrumental in shaping the future of transportation and enhancing the quality and reliability of Waymo's autonomous vehicles.In this hybrid role, you will report directly to an Engineering Manager.

Aeva, Inc. is seeking a Machine Learning Engineer with a focus on Perception to join the team in Mountain View, CA. This role centers on developing algorithms that help autonomous systems interpret and respond to their environment. The work draws on both machine learning and computer vision to improve how autonomous vehicles perceive the world around them. Key responsibilities Design and build perception algorithms for autonomous platforms Use machine learning and computer vision on real-world datasets Support progress in autonomous vehicle technology through technical contributions Work closely with engineers and researchers to expand product capabilities Location This position is based in Mountain View, CA.

Waymo, an innovator in autonomous driving technology, is dedicated to becoming the world's most reliable driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver supports our fully autonomous ride-hail service and can be integrated into various vehicle platforms for diverse applications. With over ten million rides provided and experience from driving more than 100 million miles on public roads combined with billions of miles in simulation across 15+ U.S. states, we’re at the forefront of a transportation revolution.The Perception team is responsible for developing systems that learn spatial-temporal representations and their semantic meanings within the autonomous vehicle's environment. Collaborating closely with other teams for optimization and integration into the Waymo Driver, we engage in research to tackle practical challenges and work with Alphabet's research teams. With access to millions of miles of diverse driving data, our engineers can (1) create methods for efficient and continuous learning from large-scale real-world data, (2) build and train models at scale, (3) analyze real-world behavior to manage complex interactions, and (4) optimize models for our onboard and offboard hardware.In this hybrid role, you will report directly to a Technical Lead Manager.

Aeva is seeking a talented Software Engineer to join our Perception Data Infrastructure team. In this role, you will be responsible for designing and developing scalable systems to manage and process perception data efficiently. You will work collaboratively with cross-functional teams to innovate and enhance our perception capabilities, contributing to the overall success of our cutting-edge technology.

As a Senior Software Engineer specializing in Perception Verification at Waymo, you will play a crucial role in enhancing the safety and performance of autonomous driving technology. Your expertise will guide the development of innovative algorithms and systems that validate perception capabilities, ensuring our vehicles can navigate the complexities of real-world environments.This position offers an exciting opportunity to work at the forefront of technology, collaborating with a talented team of engineers and researchers dedicated to revolutionizing transportation.

Waymo is at the forefront of autonomous driving technology, driven by the mission to become the world’s most trusted driver. Born from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility and save lives that are often lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service, which can be adapted for various vehicle platforms and use cases. With over ten million rider-only trips completed and experience accumulated from driving over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, Waymo is redefining transportation.The Perception team is integral to the Waymo Driver's success, crafting cutting-edge technology that enables our autonomous systems to accurately understand their environment, make informed decisions in real-time, and transport passengers safely to their destinations. We engage in research to tackle real-world challenges and collaborate with other innovative teams at Alphabet. Our access to extensive driving data collected through diverse sensors empowers software engineers like you to create and scale multi-modal models and techniques.Our objective is to establish a robust foundation for a high-level Perception pipeline, which is a fundamental component of the self-driving system. We serve as the essential link between Waymo's hardware teams and the broader engineering organization focused on self-driving technology, defining sensor specifications, providing vital feedback, and simplifying system complexities.In this hybrid role, you will report directly to a Technical Lead Manager.

Waymo, an innovative leader in autonomous driving technology, is on a mission to redefine mobility by creating the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—aimed at enhancing mobility access and preventing traffic-related fatalities. Our autonomous ride-hail service, powered by the Waymo Driver, has completed over ten million trips, with an impressive track record of driving more than 100 million miles on public roads and tens of billions in simulations across 15+ U.S. states.The Perception team plays a crucial role in this journey by constructing systems that learn and interpret the spatial-temporal representations and semantic meanings of the environments surrounding our self-driving vehicles. We collaborate closely with other teams to optimize and integrate these systems into the Waymo Driver, while also conducting cutting-edge research to tackle real-world challenges. Our engineers leverage vast datasets from diverse sensors, allowing them to (1) devise methods for continuously learning from large-scale real-world data, (2) create scalable models and training processes, (3) analyze real-world behaviors to navigate complex interactions, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager within the Semantics subgroup of our Perception organization.

Waymo is at the forefront of autonomous driving technology, aiming to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce the tragic loss of life due to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and use cases. With over ten million rider-only trips and extensive experience driving autonomously over 100 million miles on public roadways, complemented by tens of billions of miles in simulations across 15+ U.S. states, we are leading the way in this transformative field.The Perception team is responsible for creating the systems that learn the spatial-temporal representations and semantic meanings of the self-driving car's surroundings, effectively enabling the car to 'perceive' its environment. We collaborate closely with downstream teams to optimize and integrate our findings into the Waymo Driver. Our research tackles real-world challenges, leveraging vast amounts of driving data from diverse sensors. As part of our team, you will work on methods for continuous learning from large-scale real-world data, model development and training at scale, behavioral analysis, and system optimization for both onboard and offboard hardware.In this hybrid role, you will report to a Senior Staff Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has tirelessly worked on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver fuels our fully autonomous ride-hailing service and can adapt to various vehicle platforms and applications. With over ten million rider-only trips completed, Waymo has amassed more than 100 million miles driven autonomously on public roads, supplemented by tens of billions of simulated miles across 15+ U.S. states.The Perception team at Waymo is instrumental in crafting the technology that empowers the Waymo Driver. Our advanced models enable the Waymo Driver to interpret its surroundings, make informed decisions, and ensure safe passage for passengers. Engaging in research to tackle real-world challenges, we collaborate closely with Alphabet's research teams. Our access to extensive driving data from diverse sensors allows machine learning practitioners to develop scalable multi-modal models and techniques.You will report directly to our Director of Engineering within the Perception Organization.

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been on a mission to develop the Waymo Driver—The World’s Most Experienced Driver™—which aims to enhance mobility access and prevent the thousands of fatalities caused by traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With more than ten million rider-only trips completed, our technology has successfully navigated over 100 million miles on public roads and simulated tens of billions of miles across more than 15 U.S. states.The Perception team is responsible for creating the systems that learn the spatial-temporal representation and semantic meanings of the environment surrounding the autonomous driving vehicle (ADV). Our work involves close collaboration with downstream teams to optimize and integrate these systems into the Waymo Driver. We actively conduct research to solve real-world challenges and partner with research teams at Alphabet. With access to millions of driving data miles collected from a variety of sensors, our engineers have the opportunity to (1) devise methods for continuous learning from large-scale real-world data, (2) build and train models at scale, (3) analyze real-world behavior and develop systems to manage complex interactions with the environment, and (4) refine models for our onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has tirelessly developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service, and its technology can be adapted to a variety of vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, our capabilities are unparalleled.The Perception team is integral to Waymo, developing the advanced technology that enables the Waymo Driver to accurately perceive its surroundings, make timely decisions, and ensure safe transportation for passengers. We are engaged in cutting-edge research that addresses tangible challenges and fosters collaboration with research teams at Alphabet. With access to vast amounts of driving data from diverse sensors, we empower machine learning practitioners to create multi-modal models and techniques on a grand scale.In this hybrid role, you will report directly to the Director of Engineering.

Waymo is a pioneering autonomous driving technology company with a vision to become the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless lives lost in traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and product use cases. To date, the Waymo Driver has successfully completed over ten million rider-only trips, backed by its extensive experience of autonomously navigating over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states.The Perception team is responsible for creating the systems that interpret spatial-temporal representations and their semantic meanings of the environment surrounding the self-driving car. We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our team conducts innovative research to solve real-world challenges and partners with research teams at Alphabet, leveraging millions of miles of driving data from a diverse range of sensors. This enables our engineers to (1) devise methods for continuous learning from large-scale real-world data, (2) design and scale model training, (3) analyze real-world behavior and develop systems for managing real-world complexities, and (4) optimize models for our onboard and offboard hardware.In this hybrid role, you will report to a Senior Staff Technical Lead Manager.

Company OverviewAt Matic Robotics, we are dedicated to transforming the way people manage household chores, reclaiming the 2.5 trillion hours spent on such tasks every year through innovative home robotics.Our flagship product, the Matic cleaning robot, employs advanced spatial AI technology, including real-time 3D mapping and adaptive path tracking, allowing it to autonomously navigate and clean homes with precision. Designed to function with just RGB cameras and on-device neural networks, Matic is built for real-world efficiency.Privacy is paramount at Matic. Our robots operate with a 'privacy-first' approach, processing all data on-device instead of relying on the cloud.We believe in a progressive evolution of home robotics, starting with specialized robots that gradually evolve into more complex systems.Matic fosters a collaborative and dynamic work culture, where our passionate team is committed to creating cherished products that save time and enhance everyday living.About the RoleWe are seeking a driven and innovative Perception Engineer to join our team and make a significant impact from the outset.Key ResponsibilitiesTranslate complex real-world challenges into well-defined machine learning tasks.Develop and implement cutting-edge computer vision algorithms.Create novel neural network architectures tailored for robotic applications.Design and execute robust 3D geometry-based vision algorithms.Establish scalable machine learning infrastructures for large datasets, ensuring reproducibility.Analyze outputs and continuously optimize algorithm accuracy and efficiency.Deploy machine learning models on edge devices without compromising performance.Contribute to achieving Level 5 autonomy in consumer robotics.Collaborate across interdisciplinary teams, including Hardware, Electrical, and Systems Engineers.

Join Databricks as a PhD Systems Software Engineer where you will leverage your advanced academic training to contribute to innovative software solutions. You will collaborate with a team of talented engineers and researchers to push the boundaries of technology and deliver high-quality systems that meet our clients' needs.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce the number of lives lost to traffic accidents. The Waymo Driver underpins our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and billions in simulation across over 15 U.S. states.The Perception team is responsible for creating systems that learn the spatial-temporal representation and semantic meanings of the self-driving car's environment. Our work involves close collaboration with downstream teams for optimization and integration with the Waymo Driver. We engage in innovative research to tackle real-world challenges while partnering with Alphabet's research teams. With access to extensive driving data from diverse sensors, our engineers are equipped to (1) devise methods for continuous learning from vast real-world datasets, (2) develop scalable models and training processes, (3) analyze real-world behaviors to manage complex interactions, and (4) optimize models for both onboard and offboard hardware.Within the Perception domain, our Sensor Pipelines team addresses a variety of real-world challenges beyond mere object detection, including weather conditions, road surface understanding, visibility, and the identification of exceptional events surrounding the vehicle. These pipelines encompass a wide range of sensing technologies while integrating throughout the Perception stack and collaborating with planning components.In this hybrid role, you will report to a Director and lead a team of engineers dedicated to Perception machine learning pipelines.Your Responsibilities:Oversee large teams of software engineers tackling diverse Perception product challenges through machine learning, focusing on team development and recruitment to foster resilient, high-performing teams.Guide the team in designing top-tier machine learning solutions in partnership with Technical Leads, nurturing an environment of excellence and high achievement.Act as the team's representative within the broader Perception and Onboard group, collaborating with other leaders on staffing and strategic planning. Establish team Objectives and Key Results (OKRs) and formulate actionable plans to achieve them.