Engineering Internship jobs at Zoox - 33 jobs

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. Zoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission. As a Quality Engineering Intern Interns in this pipeline may be considered for opportunities across a range of teams, including: Vehicle and Quality Engineering: Support vehicle quality throughout development by tracking quality issues, conducting inspections, and coordinating cross-functional approvals for fleet releases. Field Quality: Investigate field failures, analyze returned parts, identify trends, and support continuous improvement initiatives to enhance vehicle reliability. Supplier Quality Engineering: Work with suppliers to ensure quality standards are met through assessments, part approval processes, and issue resolution across various component types. Manufacturing Process Quality: Support manufacturing quality through process documentation, inspections, rework validation, and quality metrics tracking to ensure production standards are met. Program Requirements * Currently pursuing a B.S., M.S., or other advanced degree in a relevant engineering field. * Plan to return to school after completing the internship. * Maintain good academic standing. * Available to commit to either a 12-week summer internship (May or June 2026 start) or a 6-month co-op. * At least one prior industry internship, co-op, or relevant project experience. * Willing and able to relocate to the Bay Area, California, for the duration of the internship. * Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox. Qualifications * Foundational understanding of process quality and continuous improvement. * Familiarity with quality tools such as DFMEA, APQP, and PPAP through coursework or projects. * Basic understanding of manufacturing and plant quality concepts. * Awareness of how design, manufacturing, and quality metrics are connected. * Interest in field quality topics, including reliability, repairs, and field issue analysis. Compensation: The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. Zoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission. As a Quality Engineering Intern Interns in this pipeline may be considered for opportunities across a range of teams, including: Vehicle and Quality Engineering: Support vehicle quality throughout development by tracking quality issues, conducting inspections, and coordinating cross-functional approvals for fleet releases. Field Quality: Investigate field failures, analyze returned parts, identify trends, and support continuous improvement initiatives to enhance vehicle reliability. Supplier Quality Engineering: Work with suppliers to ensure quality standards are met through assessments, part approval processes, and issue resolution across various component types. Manufacturing Process Quality: Support manufacturing quality through process documentation, inspections, rework validation, and quality metrics tracking to ensure production standards are met.Program Requirements Currently pursuing a B.S., M.S., or other advanced degree in a relevant engineering field. Plan to return to school after completing the internship. Maintain good academic standing. Available to commit to either a 12-week summer internship (May or June 2026 start) or a 6-month co-op. At least one prior industry internship, co-op, or relevant project experience. Willing and able to relocate to the Bay Area, California, for the duration of the internship. Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox. Qualifications Foundational understanding of process quality and continuous improvement. Familiarity with quality tools such as DFMEA, APQP, and PPAP through coursework or projects. Basic understanding of manufacturing and plant quality concepts. Awareness of how design, manufacturing, and quality metrics are connected. Interest in field quality topics, including reliability, repairs, and field issue analysis. Compensation:The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. Zoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission. This internship opportunity is within the Advanced Hardware Engineering team, which focuses on the design and development of new modules and sensors for our autonomous robot. Interns on this team will have the chance to work on cutting edge technologies, gaining valuable experience and insight into high reliability and safety critical automotive systems.Program Requirements Currently pursuing a B.S., M.S., Ph.D., or other advanced degree in a relevant engineering field. Plan to return to school after completing the internship. Maintain good academic standing. Available to commit to either a 12-week internship (beginning in May or June 2026), or a 6-month co-op. At least one prior industry internship, co-op, or relevant project experience. Willing and able to relocate to the Bay Area, California, for the duration of the internship. Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox. Qualifications Proficiency in C++ and/or C Experience writing and debugging embedded software Hands-on experience with embedded development kits and/or custom PCB hardware Experience using oscilloscope/logic analyzer Professional and positive communication skills Bonus Qualifications Experience with assembly language programming Proficiency in developing and debugging device drivers Hands-on experience working with Lidars, Radars, Cameras, and GPS sensors Knowledge of PTP IEEE-1588 Precision Time Synchronization Protocols Familiarity with real-time operating systems including QNX, FreeRTOS, and Linux Compensation:The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. Zoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission. As a Quality Engineering Intern Interns in this pipeline may be considered for opportunities across a range of teams, including: Vehicle and Quality Engineering: Support vehicle quality throughout development by tracking quality issues, conducting inspections, and coordinating cross-functional approvals for fleet releases. Field Quality: Investigate field failures, analyze returned parts, identify trends, and support continuous improvement initiatives to enhance vehicle reliability. Supplier Quality Engineering: Work with suppliers to ensure quality standards are met through assessments, part approval processes, and issue resolution across various component types. Manufacturing Process Quality: Support manufacturing quality through process documentation, inspections, rework validation, and quality metrics tracking to ensure production standards are met.Program Requirements Currently pursuing a B.S., M.S., or other advanced degree in a relevant engineering field. Plan to return to school after completing the internship. Maintain good academic standing. Available to commit to either a 12-week summer internship (May or June 2026 start) or a 6-month co-op. At least one prior industry internship, co-op, or relevant project experience. Willing and able to relocate to the Bay Area, California, for the duration of the internship. Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox. Qualifications Foundational understanding of process quality and continuous improvement. Familiarity with quality tools such as DFMEA, APQP, and PPAP through coursework or projects. Basic understanding of manufacturing and plant quality concepts. Awareness of how design, manufacturing, and quality metrics are connected. Interest in field quality topics, including reliability, repairs, and field issue analysis. Compensation:The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. Join our Information Security team as a Summer 2026 Intern and gain hands-on experience across Identity and Access Management (IAM) at Zoox. You'll have the opportunity to support real-world initiatives, including auditing and remediation of security vulnerabilities, contributing to IAM product enhancements, implementing improvements to credential management, and assisting with operational workflows such as SSO onboarding and service account lifecycle management.In this Role, You will... Support IAM operations by assisting with SSO onboarding, credential rotations, and service account management. Contribute to security and compliance efforts through auditing, analysis, and remediation of identity-related findings. Collaborate with engineers and developers to enhance IAM-owned products and implement improvements in dynamic credential management. Requirements Currently working towards a B.S., M.S., Ph.D., or advanced degree in a Computer Science, Cybersecurity or Information Systems program Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026. At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications Foundational knowledge of authentication concepts, access control, or general cybersecurity principles. Basic scripting or programming skills in languages such as Python or Golang Bonus Qualifications Familiarity with REST APIs, SQL fundamentals, or version control (e.g., Git) is a plus but not required. Exposure to cloud platforms (AWS, Azure, or GCP) or IAM tools is helpful but can be learned on the job. The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. The Autonomy Behavior group at Zoox develops the planning and control systems that enable the vehicle to make safe, comfortable, and efficient driving decisions. These engineers work on planner capabilities, control systems, behavior compute and integration, onboard behavior model architectures, and data optimization to ensure our robotaxi drives safely and naturally in complex urban environments. As an MLE Intern working on Autonomy Behavior, you may be assigned to one of the following teams: On the Hydra team, you will explore ways to improve introspection for the ML planner as well as improve model performance. This team is developing a hybrid planning system that combines a learned planner component with a search based supervisor system. In this role, you will be exploring improving the introspectability of the learned planner as well improving the performance through experiments. You will have the opportunity to learn from world class experts on Imitation Learning, Reinforcement Learning and potential to demonstrate your work both in simulation and on our robots. On the Onboard Behavior Encoder team, you will be responsible for modeling and scaling ML architectures that enable behavior decision processes in autonomous vehicles. In this role, you'll explore novel approaches to behavior modeling, including research at the intersection of LLM models and motion planning systems. You'll drive performance improvements through rigorous experimentation and have the opportunity to work alongside world-class ML researchers and autonomous driving experts. Your contributions will directly influence how our vehicles navigate complex real-world scenarios. On the Prediction Integration team, you will be a key contributor to the autonomous vehicle's real-world driving behavior by improving the performance of the ML Planner. This role offers the chance to develop innovative methods for analyzing and explaining the ML Planner's decisions. You will also benefit from learning directly from leading experts in autonomous driving and ML research.Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026. At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications: Advanced understanding of Python or C++ Strong experience with PyTorch and/or JAX Experience with production ML pipelines: dataset creation, labeling, training, metrics Experience with Neural Network design and implementation Strong track record in machine learning for autonomous driving, robotics, or LLMs Bonus Qualifications: Publication at top-tier conferences (e.g., NeurIPS, ICML, CoRL, CVPR, ICCV, ECCV, IROS, ...) Familiarity with applying ML visualization and introspection techniques Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Engineer Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will build data pipelines and infrastructure to support autonomy development. Develop ETL pipelines for processing vehicle logs, create data platforms for metrics computation (using Databricks, Spark, Ray), build visualization dashboards (Looker, Grafana, Databricks), or work on managing run metadata and pipeline processing. Enable data scientists and engineers to efficiently access and analyze petabytes of autonomous driving data. On the Content team, you will build, and maintain the pipelines that transform data at scale to support analytics throughout the company. This individual will also design and build data models for key business domains, such as autonomy, riders and fleet, simulation, etc. Lastly, they will define and execute on how high value key data assets are consumed to generate valuable insights by data scientists, engineers, and business users.Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026 At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): Experience with big data technologies (Spark, Databricks, Airflow) Knowledge of cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes) Familiarity with data warehousing and analytics platforms Experience with streaming data processing Understanding of ML infrastructure and feature stores Knowledge of data quality, monitoring, and observability tools Experience with autonomous vehicle data or sensor data processing Experience with large scale streaming platforms (e.g. Kafka, Kinesis) and storage engines (e.g. HDFS, HBase) Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. Perception at Zoox is the "Retina of Zoox" - the system responsible for understanding the world around the autonomous vehicle. As an MLE intern working on Perception, you may be assigned to one of the following teams: On the Offline Driving Intelligence team, you will develop advanced multimodal large language models that enhance scenario understanding and driving. You'll develop and fine-tune models with driving data, ensuring models can efficiently identify hazards, interpret driving restrictions, drive and answer questions about the scenario. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. On the Perception Attributes team, you will collect and generate datasets for specialized vehicle classification and semantic enrichment, design and frame machine learning problems for real-world autonomous driving scenarios and train and evaluate state-of-the-art machine learning models with a focus on computer vision. You will also collaborate with engineers to deploy models for real-time inference on our vehicles, and contribute to improving our vehicle's ability to recognize and respond to emergency vehicles, school buses, construction vehicles, and other specialized road actors. On the Perception Scene Understanding team, you will develop advanced ML models that perceive our vehicle's surroundings to identify hazards and driving restrictions. You will utilize vision-language models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. On the Occupancy and Rare Events team, you will develop multimodal foundation models that serve as the common backbone for on-vehicle perception, enhancing the system's ability to detect long-tail events and generalize to new geofences. In this role, you will develop effective tokenization techniques for Vision, Lidar, and Radar modalities, leverage LLM techniques to align token embeddings across modalities into a common feature space supporting various 3D tasks (detection, segmentation, tracking, feature matching, dense depth), You'll collaborate with top-notch engineers across PCP, MLInfra, and Offboard Driving Intelligence teams, utilizing Zoox's large-scale dataset to train and evaluate models that directly impact the autonomous system's real-world performance. On the perception optimization team, you will build optimized inference pipelines for on-bot algorithms. A major focus of optimization is ML models, with techniques such as quantization, pruning, and advanced transformer optimizations such as token pruning, merging and layer pruning being used to deploy large models into the bot to operate at real time. In this role, you will experiment with optimizing SOTA large ML models to make them fit into on-bot compute, including both post-training optimization (e.g. quantization) as well as architectural approaches (e.g. token merging).Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026. At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California or Boston for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): Advanced understanding of Python or C++ (C++ preferred) Experience with production ML pipelines: dataset creation, labeling, training, metrics Experience training/finetuning MLLMs or at least MLLms (SFT/RL) Experience with Vision-Language Models Experience with model deployment with TensorRT Experience with Neural Network design and implementation Experience working with LiDAR, Camera and Radar data Experience with building and processing large scale dataset GPU/CUDA programming experience Bonus Qualifications: Experience with multimodal foundation model optimization techniques Experience in algorithm development for Autonomous Driving software Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. The Simulation team creates high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation. Zoox vehicles are deployed in many cities across the US, and wherever Zoox goes, Simulation makes sure we are good to go. As an MLE Intern working on Simulation, you may be assigned to one of the following teams: On the 3D World Sim team, you will extend our simulation pipeline to reproduce dynamic actors accurately in simulation. You will research and evaluate various reconstruction algorithms and integrate the most promising of them into our simulation framework. On the Agent Simulation team, you will develop and improve models that realistically simulate the behavior of other road agents like pedestrians and vehicles. You will leverage software engineering and machine learning skills to ensure these simulated agents exhibit a wide range of plausible and representative human behaviors, which is critical for validating the safety and performance of Zoox's autonomous driving technology. On the 3D Sensor Simulation team, you will help create high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation. You will develop 3D ML models and training datasets for 3D sensor simulation using modern machine learning architectures. Collaborate with the Sensors, Perception, and Validation teams to evaluate and iteratively improve the fidelity of sensor simulation. On the Scenario Authoring team, you will help create agentic AI systems capable of generating novel scenarios for validating the safety and performance of Zoox's autonomous driving technology. You will leverage your software engineering and machine learning skills to gather data, fine-tune existing diffusion / foundation models, add new capabilities to our LLM agent, and evaluate success against customer requirements. On the Scenario Automation team, you will help build scenario generation and analysis tools used to evaluate robot behavior via simulation. You will leverage your software engineering and machine learning skills to recreate high-fidelity simulation scenarios from recorded real-world driving data. Together, we're creating a highly-scalable system used by mission assurance and autonomy engineers to continuously improve the safety and reliability of our robots.Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026. At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California or Seattle for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications: Fluency in C++ and/or Python, as well as a strong understanding of data structures and algorithms Strong skills in mathematics, particularly linear algebra Experience with large-scale code projects Bonus Qualifications: Broad knowledge of Gaussian Splatting or Neural Radiance Fields Strong understanding of generative AI techniques including diffusion, GAN, and transformers Experience with game development or simulation frameworks used in robotics Experience with 3D game logic Experience with Typescript Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As an intern on Zoox's IT Infrastructure Platform Engineering team, you will learn how we manage configuration, monitoring, alerting, and metrics collection across our on-prem VMware environments and cloud systems including EC2 and EKS. In this Role, You will... Work with our infrastructure tools and automation workflows Help automate recurring manual tasks and assisting with infrastructure or service migrations Build monitoring and alerting systems, along with metrics dashboards that show how are infrastructure is performing Requirements Currently working towards a B.S., M.S., Ph.D., or advanced degree in a Computer Science or other another Engineering program Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026. At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications Linux system fundamentals Network fundamentals AWS, EKS, etc Python or other programming languages The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. Zoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission. As a Quality Engineering Intern Interns in this pipeline may be considered for opportunities across a range of teams, including: Vehicle and Quality Engineering: Support vehicle quality throughout development by tracking quality issues, conducting inspections, and coordinating cross-functional approvals for fleet releases. Field Quality: Investigate field failures, analyze returned parts, identify trends, and support continuous improvement initiatives to enhance vehicle reliability. Supplier Quality Engineering: Work with suppliers to ensure quality standards are met through assessments, part approval processes, and issue resolution across various component types. Manufacturing Process Quality: Support manufacturing quality through process documentation, inspections, rework validation, and quality metrics tracking to ensure production standards are met. Program Requirements * Currently pursuing a B.S., M.S., or other advanced degree in a relevant engineering field. * Plan to return to school after completing the internship. * Maintain good academic standing. * Available to commit to either a 12-week summer internship (May or June 2026 start) or a 6-month co-op. * At least one prior industry internship, co-op, or relevant project experience. * Willing and able to relocate to the Bay Area, California, for the duration of the internship. * Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox. Qualifications * Foundational understanding of process quality and continuous improvement. * Familiarity with quality tools such as DFMEA, APQP, and PPAP through coursework or projects. * Basic understanding of manufacturing and plant quality concepts. * Awareness of how design, manufacturing, and quality metrics are connected. * Interest in field quality topics, including reliability, repairs, and field issue analysis. Compensation: The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. The Autonomy Behavior group at Zoox develops the planning and control systems that enable the vehicle to make safe, comfortable, and efficient driving decisions. These engineers work on planner capabilities, control systems, behavior compute and integration, onboard behavior model architectures, and data optimization to ensure our robotaxi drives safely and naturally in complex urban environments. As an MLE Intern working on Autonomy Behavior, you may be assigned to one of the following teams: On the Hydra team, you will explore ways to improve introspection for the ML planner as well as improve model performance. This team is developing a hybrid planning system that combines a learned planner component with a search based supervisor system. In this role, you will be exploring improving the introspectability of the learned planner as well improving the performance through experiments. You will have the opportunity to learn from world class experts on Imitation Learning, Reinforcement Learning and potential to demonstrate your work both in simulation and on our robots. On the Onboard Behavior Encoder team, you will be responsible for modeling and scaling ML architectures that enable behavior decision processes in autonomous vehicles. In this role, you'll explore novel approaches to behavior modeling, including research at the intersection of LLM models and motion planning systems. You'll drive performance improvements through rigorous experimentation and have the opportunity to work alongside world-class ML researchers and autonomous driving experts. Your contributions will directly influence how our vehicles navigate complex real-world scenarios. On the Prediction Integration team, you will be a key contributor to the autonomous vehicle's real-world driving behavior by improving the performance of the ML Planner. This role offers the chance to develop innovative methods for analyzing and explaining the ML Planner's decisions. You will also benefit from learning directly from leading experts in autonomous driving and ML research. Requirements: * Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program * Must be returning to school to continue your education upon completing this internship * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026. * At least one previous industry internship, co-op, or project completed in a relevant area * Ability to relocate to the Bay Area, California for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications: * Advanced understanding of Python or C++ * Strong experience with PyTorch and/or JAX * Experience with production ML pipelines: dataset creation, labeling, training, metrics * Experience with Neural Network design and implementation * Strong track record in machine learning for autonomous driving, robotics, or LLMs Bonus Qualifications: * Publication at top-tier conferences (e.g., NeurIPS, ICML, CoRL, CVPR, ICCV, ECCV, IROS, ...) * Familiarity with applying ML visualization and introspection techniques Compensation: The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. The Simulation team creates high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation. Zoox vehicles are deployed in many cities across the US, and wherever Zoox goes, Simulation makes sure we are good to go. As an MLE Intern working on Simulation, you may be assigned to one of the following teams: On the 3D World Sim team, you will extend our simulation pipeline to reproduce dynamic actors accurately in simulation. You will research and evaluate various reconstruction algorithms and integrate the most promising of them into our simulation framework. On the Agent Simulation team, you will develop and improve models that realistically simulate the behavior of other road agents like pedestrians and vehicles. You will leverage software engineering and machine learning skills to ensure these simulated agents exhibit a wide range of plausible and representative human behaviors, which is critical for validating the safety and performance of Zoox's autonomous driving technology. On the 3D Sensor Simulation team, you will help create high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation. You will develop 3D ML models and training datasets for 3D sensor simulation using modern machine learning architectures. Collaborate with the Sensors, Perception, and Validation teams to evaluate and iteratively improve the fidelity of sensor simulation. On the Scenario Authoring team, you will help create agentic AI systems capable of generating novel scenarios for validating the safety and performance of Zoox's autonomous driving technology. You will leverage your software engineering and machine learning skills to gather data, fine-tune existing diffusion / foundation models, add new capabilities to our LLM agent, and evaluate success against customer requirements. On the Scenario Automation team, you will help build scenario generation and analysis tools used to evaluate robot behavior via simulation. You will leverage your software engineering and machine learning skills to recreate high-fidelity simulation scenarios from recorded real-world driving data. Together, we're creating a highly-scalable system used by mission assurance and autonomy engineers to continuously improve the safety and reliability of our robots. Requirements: * Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program * Must be returning to school to continue your education upon completing this internship * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026. * At least one previous industry internship, co-op, or project completed in a relevant area * Ability to relocate to the Bay Area, California or Seattle for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications: * Fluency in C++ and/or Python, as well as a strong understanding of data structures and algorithms * Strong skills in mathematics, particularly linear algebra * Experience with large-scale code projects Bonus Qualifications: * Broad knowledge of Gaussian Splatting or Neural Radiance Fields * Strong understanding of generative AI techniques including diffusion, GAN, and transformers * Experience with game development or simulation frameworks used in robotics * Experience with 3D game logic * Experience with Typescript Compensation: The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Engineer Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will build data pipelines and infrastructure to support autonomy development. Develop ETL pipelines for processing vehicle logs, create data platforms for metrics computation (using Databricks, Spark, Ray), build visualization dashboards (Looker, Grafana, Databricks), or work on managing run metadata and pipeline processing. Enable data scientists and engineers to efficiently access and analyze petabytes of autonomous driving data. On the Content team, you will build, and maintain the pipelines that transform data at scale to support analytics throughout the company. This individual will also design and build data models for key business domains, such as autonomy, riders and fleet, simulation, etc. Lastly, they will define and execute on how high value key data assets are consumed to generate valuable insights by data scientists, engineers, and business users. Requirements: * Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program * Must be returning to school to continue your education upon completing this internship * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026 * At least one previous industry internship, co-op, or project completed in a relevant area * Ability to relocate to the Bay Area, California for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): * Experience with big data technologies (Spark, Databricks, Airflow) * Knowledge of cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes) * Familiarity with data warehousing and analytics platforms * Experience with streaming data processing * Understanding of ML infrastructure and feature stores * Knowledge of data quality, monitoring, and observability tools * Experience with autonomous vehicle data or sensor data processing * Experience with large scale streaming platforms (e.g. Kafka, Kinesis) and storage engines (e.g. HDFS, HBase) Compensation: The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. Join our Information Security team as a Summer 2026 Intern and gain hands-on experience across Identity and Access Management (IAM) at Zoox. You'll have the opportunity to support real-world initiatives, including auditing and remediation of security vulnerabilities, contributing to IAM product enhancements, implementing improvements to credential management, and assisting with operational workflows such as SSO onboarding and service account lifecycle management. In this Role, You will... * Support IAM operations by assisting with SSO onboarding, credential rotations, and service account management. * Contribute to security and compliance efforts through auditing, analysis, and remediation of identity-related findings. * Collaborate with engineers and developers to enhance IAM-owned products and implement improvements in dynamic credential management. Requirements * Currently working towards a B.S., M.S., Ph.D., or advanced degree in a Computer Science, Cybersecurity or Information Systems program * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026. * At least one previous industry internship, co-op, or project completed in a relevant area * Ability to relocate to the Bay Area, California for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications * Foundational knowledge of authentication concepts, access control, or general cybersecurity principles. * Basic scripting or programming skills in languages such as Python or Golang Bonus Qualifications * Familiarity with REST APIs, SQL fundamentals, or version control (e.g., Git) is a plus but not required. * Exposure to cloud platforms (AWS, Azure, or GCP) or IAM tools is helpful but can be learned on the job. The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. Perception at Zoox is the "Retina of Zoox" - the system responsible for understanding the world around the autonomous vehicle. As an MLE intern working on Perception, you may be assigned to one of the following teams: On the Offline Driving Intelligence team, you will develop advanced multimodal large language models that enhance scenario understanding and driving. You'll develop and fine-tune models with driving data, ensuring models can efficiently identify hazards, interpret driving restrictions, drive and answer questions about the scenario. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. On the Perception Attributes team, you will collect and generate datasets for specialized vehicle classification and semantic enrichment, design and frame machine learning problems for real-world autonomous driving scenarios and train and evaluate state-of-the-art machine learning models with a focus on computer vision. You will also collaborate with engineers to deploy models for real-time inference on our vehicles, and contribute to improving our vehicle's ability to recognize and respond to emergency vehicles, school buses, construction vehicles, and other specialized road actors. On the Perception Scene Understanding team, you will develop advanced ML models that perceive our vehicle's surroundings to identify hazards and driving restrictions. You will utilize vision-language models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. On the Occupancy and Rare Events team, you will develop multimodal foundation models that serve as the common backbone for on-vehicle perception, enhancing the system's ability to detect long-tail events and generalize to new geofences. In this role, you will develop effective tokenization techniques for Vision, Lidar, and Radar modalities, leverage LLM techniques to align token embeddings across modalities into a common feature space supporting various 3D tasks (detection, segmentation, tracking, feature matching, dense depth), You'll collaborate with top-notch engineers across PCP, MLInfra, and Offboard Driving Intelligence teams, utilizing Zoox's large-scale dataset to train and evaluate models that directly impact the autonomous system's real-world performance. On the perception optimization team, you will build optimized inference pipelines for on-bot algorithms. A major focus of optimization is ML models, with techniques such as quantization, pruning, and advanced transformer optimizations such as token pruning, merging and layer pruning being used to deploy large models into the bot to operate at real time. In this role, you will experiment with optimizing SOTA large ML models to make them fit into on-bot compute, including both post-training optimization (e.g. quantization) as well as architectural approaches (e.g. token merging). Requirements: * Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program * Must be returning to school to continue your education upon completing this internship * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026. * At least one previous industry internship, co-op, or project completed in a relevant area * Ability to relocate to the Bay Area, California or Boston for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): * Advanced understanding of Python or C++ (C++ preferred) * Experience with production ML pipelines: dataset creation, labeling, training, metrics * Experience training/finetuning MLLMs or at least MLLms (SFT/RL) * Experience with Vision-Language Models * Experience with model deployment with TensorRT * Experience with Neural Network design and implementation * Experience working with LiDAR, Camera and Radar data * Experience with building and processing large scale dataset * GPU/CUDA programming experience Bonus Qualifications: * Experience with multimodal foundation model optimization techniques * Experience in algorithm development for Autonomous Driving software Compensation: The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. High-definition semantic maps are critical for enabling fully autonomous driving. We are looking for highly motivated individuals who are passionate about machine learning and computer vision. You will be part of our mapping team with a diverse group of researchers and engineers, working together to build core machine perception algorithms to understand the natural environments and build semantic maps in an automated way.In this role, you will: Design and develop novel algorithms and ML models for 2D/3D machine perception in real-world environments Stay up-to-date with the latest state-of-the-art research in computer vision and machine learning, and apply learned knowledge to improve our systems Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Data Science, and more Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026. At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California or Boston for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications: Experience with training and deploying deep learning models Experience with 3D computer vision and projective geometry Proficiency in Python and/or C++ Experience with deep learning frameworks such as PyTorch Bonus Qualifications: Conference or journal publications in Computer Vision, Machine Learning or Robotics related venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, RSS, etc.) Experience with high-definition (HD) maps Experience with object detection, object recognition, semantic segmentation and/or semantic scene understanding Experience with 3D reconstruction, SLAM and/or Structure from Motion (SFM) Experience with Geographic Information System (GIS) Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. On the Developer Experience team,, you will build AI Agents and AI Workflows that enhance how developers and customers experience Zoox. You will apply LLMs to solve real problems that slow teams down or limit product quality. Your work will focus on reducing the time it takes developers to ship features, accelerating the triage of real-world incidents, improving the quality and consistency of multimodal datasets, and designing AI Agents that automate common engineering workflows end to end. If you enjoy solving user problems with LLMs, care about product impact, and like owning projects from idea to launch, you'll fit right in. Requirements: * Currently working towards a B.S., M.S., or advanced degree in a relevant engineering program * Must be returning to school to continue your education upon completing this internship * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026. * At least one previous industry internship, co-op, or project completed in a relevant area * Ability to relocate to the Bay Area, California for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications: * Proficiency in Python or C++ * Coursework or project experience in software development, demonstrating understanding of data structures and algorithms * Familiarity with LLMs through coursework, personal projects, or hackathons Bonus Qualifications: * Experience with prompt engineering or LLM APIs (OpenAI, Anthropic, AWS Bedrock) * Contributions to open-source projects * Experience with vector databases or embedding models * Familiarity with developer tools (IDEs, debuggers, build systems) Compensation: The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About ZooxZoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do. About Our Internship ProgramZoox's internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission. As a System Engineering InternInterns in this pipeline may be considered for opportunities across a range of teams within the following teams: Verification & Validation: Support the verification and validation of critical hardware modules through a multi-stage testing process from bench-level testing to full vehicle and product integration, including triaging and root-cause analysis of test results. Powertrain Engineering: Collaborate closely with senior engineers and suppliers to develop and validate battery control algorithms, create high-fidelity cell models, and conduct laboratory testing to optimize battery performance, safety, and longevity. System Integration: Perform thermal modeling to estimate key temperatures to improve safety and reduce hardware costs by enabling more accurate cabin safety monitoring and a lower sensor count.Program Requirements: Currently pursuing a B.S., M.S., or other advanced degree in a relevant engineering field. Plan to return to school after completing the internship. Maintain good academic standing. Available to commit to either a 12-week summer internship (May or June 2026 start) At least one prior industry internship, co-op, or relevant project experience. Willing and able to relocate to the Bay Area, California, for the duration of the internship. Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox. Role Qualifications: Currently pursuing a degree in Mechanical, Electrical, or Software Engineering Experience writing test cases and test reports for feature or vehicle requirements. Foundational understanding of MATLAB/Simulink for control system design and simulation Familiarity with CAN networks and vehicle system architecture Proficiency in data analysis and visualization using Python, MATLAB, or similar tools Bonus Qualifications: Previous co-op or internship in Robotics, battery systems, power electronics, or Automotive companies. Basic knowledge of thermodynamics, heat transfer, and fluid dynamics Understanding of battery electrochemistry, cell dynamics, and thermal behavior Compensation:The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).