30 jobs found in Foster City

Do you enjoy creating intuitive tools that make complicated systems easy to understand and use? Are you interested in applying your skills to build tools for testing and ensuring the safety of autonomous vehicles? The Simulation Scenario Generation team at Zoox is looking for a full-stack engineer to enable and extend authoring of challenging real-world driving scenarios. In this role, you will: Develop autonomous driving simulation scenario tools to author, inspect, and evaluate the performance of autonomous driving software. Extend a web-based front-end for 3D graphical definition of detailed autonomous driving simulation scenarios. Extend a web back-end to interact with simulation, autonomous driving, and agentic AI software. Work closely with internal customers and other stakeholders to gather requirements and design solutions. Qualifications 3+ years of industry experience in C++ and Python development 2+ years of industry experience, with proficiency...

Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation. In this role, you will: Contribute to tooling for AI-based scenario understanding and validation. Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features. Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like agentic tool use. Collaborate directly with internal customers and partner teams to provide generative AI...

At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You’ll master new technologies while working on code, algorithms, and research to impact key systems to move Zoox forward. Qualifications Master's degree or PhD in computer science or related field Fluency in C/C++ Strong interpersonal communication skills Experience with 3D data and representations (pointclouds, meshes, etc.) Strong background in Neural Network Learning, Computer Vision and Machine Learning Extensive experience with programming and algorithm design. 5-7 years of experience in a related field Bonus Qualifications Experience with sensing hardware Experience with autonomous robots Experience with realtime sensor fusion (e.g. LiDAR, camera, radar) Experience with novel...

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy a robotaxi service. We are looking for a Senior Machine Learning Engineer to join our team to help improve our automated testing and validation processes. This role is centered on applying cutting-edge machine learning to develop and enhance our validation processes. You will be instrumental in improving the efficiency and scalability of our testing by sampling across massive datasets where traditional methods no longer suffice. By working with both real-world fleet logs and synthetic data, your work will directly impact how we validate software changes and ensure our robotaxi service is both safe and reliable. Your work will also significantly contribute to the speed and efficiency of our validation process, allowing Zoox to go fast and achieve more. You will be part of an organization with strong leadership and a transparent, respectful culture that enables...

The Software Systems Infrastructure team is responsible for aiding the Software Systems organization with all its internal tooling needs, development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles. We are a fullstack high-paced software engineering team. In this role, you will help establish infrastructure, design and develop software tools that will automate, track or audit processes and methods needed to build safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software, systems and firmware engineers across the Zoox software organization, ranging from state-of-the-art AI Perception, all the way to highly-critical RTOS and middleware components. In this role, you will: Develop infrastructure and tools to support the Software Systems org that can help enable software...

Zoox is developing state of the art autonomous vehicle software for our purpose built vehicle. We believe that developing the end to end product will result in a superior customer experience. The Robot Data Visualization team is looking for a Staff Software Engineer to join the team behind one of the most critical internal tools at Zoox - a powerful, web-based application used to visualize and analyze data from our autonomous vehicles. Our tool helps engineers dive deep into how the vehicle perceives, plans, and acts in the world, and it's used across nearly every discipline at Zoox. As a Staff Engineer, you’ll lead technical direction, drive performance and scalability improvements, and help shape the future of how we debug and understand autonomous systems. In this role, you will: Lead architectural decisions and implementation of new features in a high-impact, data-heavy web application Build rich, real-time visualizations including 3D scenes, maps, video streams,...

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will get us to market faster and result in a superior customer experience. The Developer Experience team at Zoox is dedicated to improving the process of developing autonomy software, services, and applications. We define and enforce the best practices for engineering across the company. Our approach involves using established programming languages, and tools and, when necessary, developing our own. We're leveraging Large Language Models (LLMs) to improve development velocity and streamline engineering workflows. We're looking for an engineer with firsthand experience as a full-stack developer, who knows the engineering challenges at scale and feels comfortable designing and implementing solutions to address them. In this role, you will: Architect and implement LLM-powered solutions using both commercial providers like AWS...

Zoox is developing state of the art autonomous vehicle software for our purpose built vehicle. We believe that developing the end to end product will not only get us to market faster but will also result in a superior customer experience. We are looking for a software engineer to help build our full-stack web-based platform for visualizing autonomous robot data. These internal services are central to the development of autonomous driving and transportation-as-as-service, providing Zoox the capability to visualize robot data, gain insight into the robot’s behavior, and iterate on our self-driving software stack. You will work closely with autonomous driving software engineers to design feature-rich applications and identify new opportunities for internal tools at Zoox. In this role, you will: Develop intuitive user interfaces with Vue.js, HTML & CSS. Develop 3D visualizations to fuse complex, dynamic data streams into accessible representations to a wide array of...

On the Motion Planning team at Zoox, you’ll be dedicated to improving the driving behaviors of the robot on public roads. The Planner's job is to figure out where the robot is going and how to get there safely in situations as complex as those found in Downtown San Francisco or on the Las Vegas Strip. This is a cutting-edge problem, which requires teamwork and collaboration across a broad set of experts spanning Planner, Perception, Prediction, Operations, and more. Together, you will create the next generation of algorithmic improvements to expand our robot’s ability to drive in some of the most complex situations found on public roads. Safety is foundational at Zoox, so you will take a measured approach – develop a principled modification to the Planner, test in simulation and on closed courses, and team up with our safety drivers for on-road testing. In this role, you will: Create principled algorithmic improvements to specific areas of driving behavior and...

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. The Opportunity Would you like to be part of the ML Training and Inference Infrastructure team that enables autonomous driving and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and our Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. We build and operate the base layer of ML tools, deep learning...

The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions, and you will be able to contribute to all of these. In this role, you will: Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation Improve rendering and tooling for generating realistic data at scale Qualifications: 7+ years of experience with...

The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects—all in real-time and with exceptional accuracy. As an engineer in the 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. In this role, you will: Design and implement...

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop...

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will get us to market faster and result in a superior customer experience. The Developer Experience team at Zoox is dedicated to improving the process of developing autonomy software, services, and applications. We define and enforce the best practices for engineering across the company. Our approach involves using established programming languages, and tools and, when necessary, developing our own. We're leveraging Large Language Models (LLMs) to improve development velocity and streamline engineering workflows. We're looking for an engineer with firsthand experience as a full-stack developer, who knows the engineering challenges at scale and feels comfortable designing and implementing solutions to address them. In this role, you will: Architect and implement LLM-powered solutions using both commercial providers like AWS...

The Embedded Software Engineer team at Zoox is responsible for collaborating with other firmware, hardware, software, systems, and safety teams across Zoox to build complex systems designed for challenging automotive environments. Together with the team, you will define the firmware architecture of our embedded systems and work with our cross-functional partners to drive the development of our next-generation robot. We are seeking a firmware engineer who is excited to work across our entire stack, loves learning new things, and enjoys taking ownership of major components. If you enjoy driving the design and development of new complex cross-functional features, we would like to hear from you. Responsibilities Collaborate with our cross-functional partners both within and outside of firmware to design and develop new features to help build out Zoox’s Fail-Operational capabilities Work with our safety and systems engineering teams to ensure our features and firmware...

The Embedded Software Engineer team at Zoox collaborates with other firmware, hardware, software, systems, and safety teams across Zoox to build complex systems designed for challenging automotive environments. Together with the team, you will define the firmware architecture of our embedded systems and work with our cross-functional partners to drive the development of our next-generation robot. We are seeking a firmware engineer who is excited to work across our entire stack, loves learning new things, and enjoys taking ownership of major components. If you enjoy driving the design and development of new complex cross-functional features, we would like to hear from you. In this role, you will: Lead a small team of engineers, setting direction for the team, generating short-term and long-term roadmaps, and fostering both technical and professional growth Use your leadership skills to collaborate with our cross-functional partners both within and outside of firmware,...

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction Machine Learning Engineer you will be responsible for developing machine learned models to predict the behavior of other agents in the world. In this role, you will: You will develop new algorithms to model the future behavior of all other agents in the world You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of...

As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data. In particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracking models as well as ways to send rich embeddings to downstream models to relay semantic meaning and capture uncertainty. This role offers a unique opportunity to directly impact Zoox's expansion into new areas. By developing more generalizable and adaptable models, you will help us navigate diverse and challenging circumstances, accelerating our mission to deliver safe and reliable autonomous mobility. We are looking for a highly motivated individual passionate about pushing the boundaries of perception in the autonomous vehicle space. In this role, you will: Train ML models, perform various studies into incorporating SOTA approaches as well as ablations/modifications of...

Our team is working to ensure Zoox’s hardware and software are safe for operation in the real world through the use of simulation. As part of this process, the team is responsible for designing and running large numbers of simulations to ensure Zoox’s hardware and software operate as expected. In this role, you will help us scale to meet future milestones by automating complex processes, architecting systems to be robust, efficient and cost-effective, steering design and implementation decisions, and helping the team identify future system-level limitations. You should expect to work with cross-functional partners across simulation, infrastructure, planning and perception among others. You will be responsible for enabling critical metrics that drive company-level decisions for the deployment of our driverless robots on public roads. In this role you will: Build, integrate, and validate tools to automate the assessment of simulation realism and event validity...

The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. As a Machine Learning Engineer on the Attributes team within the Perception department, you will take ownership of developing and enhancing sophisticated behavioral models for various road users, including vehicles, pedestrians, and cyclists. Your work will focus on creating and maintaining robust perception attribute models that generate critical signals for our autonomous driving stack. These signals are essential inputs that enable our Prediction and Planning teams to make intelligent, safe driving decisions for our autonomous vehicles. In this role, you will bridge the crucial gap between raw perception data and autonomous decision-making, working closely with cross-functional teams to...

Zoox's Hardware Software Integration team is responsible for ensuring various hardware subsystems work reliably on our vehicle platform on a day-to-day basis. You will oversee the deployment of next-generation compute, sensor, and data networking systems for autonomous vehicles. This role is essential and fundamental to the execution stage of Zoox's vehicle program, ensuring that hardware systems operate predictably at all times. You will also be responsible for supporting bring-up and manufacturing operations for the vehicle. You will have excellent communication skills and are excited about being the first responder to triage and debug difficult hardware-software integration issues. In this role, you will: Lead and drive debugging of hardware-software issues to closure. Identify and work with key cross-functional partners to root cause and provide resolution Provide feedback to engineering teams to improve future product versions Understand the vehicle assembly...

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop...

The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. 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. In this role, you will: Develop...

The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. 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. In this role, you will: Lead the...