Senior Energy Engineer

At Zoox, we’re redefining mobility by building an autonomous ride-sharing experience that’s safe, efficient, and unlike anything on the road today. We’re not just building a car, we’re redefining human mobility. By developing an autonomous ride-sharing experience that is safe, efficient, and entirely reimagined, we are creating unique vehicles that will shape the future of transportation for generations to come. As a Staff Vehicle Attributes Engineer, you’ll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life.You will sit at the heart of our Vehicle Integration team, leading attribute team, serving as a technical linchpin between vision and execution. You won't just be managing requirements, you will be driving cross-functional decisions and resolving critical issues alongside department and engineering leadership to ensure our platform is world-class. In this high-impact role, you will: Be the Outward Voice: Act as the primary representative for Vehicle Integration during high-stakes program reviews and in collaborations with inter-departmental customers. Lead with Authority: Work alongside world-class experts in robotics, controls, and vehicle engineering to champion every element of the Zoox experience. Define Excellence: Ensure every vehicle meets the highest possible standards for performance, comfort, and safety, bridging the gap between complex technical constraints and an uncompromising passenger experience. In this role, you will: Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox’s next-generation autonomous vehicle platforms. Define the vehicle performance of Zoox’s next-generation autonomous vehicles to meet program requirements. Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering discipli

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 existing models Document experimental outcomes and drive towards deploying these models into Zoox robots Visualize your data at the input and output to understand the issues Collaborate with teams such as ML optimization, data labeling, metrics and planner to ensure project is successful for Zoox releases Qualifications MS/PhD in Computer Science or related field Experience with PyTorch or related ML frameworks Experience deploying learned models into production Excellent collaboration and teamwork skills with proven track record of working on large-scale problems Bonus Qualifications Prior experience in the AV or related space with joint detection and tracking models Deep understanding of how to setup end-to-end training and evaluation processes 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 a

The Perception team at Zoox is responsible for the robot’s understanding of the world, fusing data from Lidar, Radar, and Cameras to create a unified representation of the environment. In this role, you will contribute to the development of our next-generation 3D occupancy and segmentation networks. You will architect and optimize high-performance deep learning models that generate dense, temporally consistent voxel representations of the driving environment. This work is critical for enabling our vehicle to navigate complex urban scenarios, handle rare obstacles, and drive safely in tight spaces by providing precise geometry and motion estimates to downstream planners. In this role, you will... Design and implement state-of-the-art multi-modal sensor fusion architectures (Lidar, Camera, Radar) to predict 3D occupancy, semantic segmentation, and flow . Develop "vision-first" fusion strategies to enhance geometric understanding and reduce dependency on sparse sensor modalities . Engineer temporal processing modules to improve the stability and consistency of predictions over time. Optimize model architectures for real-time on-vehicle inference, balancing high-fidelity range extension with strict latency constraints . Collaborate with downstream consumers (Tracking, Prediction, Planner) to refine geometric outputs, such as contours and free-space estimations, for complex maneuvering. Qualifications MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience. Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures. Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration. Experienc

Zoox is building the world’s first purpose-built autonomous robotaxi. Fleet Operations keeps that fleet available, utilized, and safe, from 24/7 remote assistance and rider support to maintenance, repair, and on-road operations. We are hiring a Manager, Fleet Operations Training to own training for the full Fleet Operations workforce. This is not a corporate L&D role focused on leadership workshops. It is an operational training leadership job: you will run the function that certifies Crew to perform safety-critical work and keeps them current as the product, processes, and geographic footprint scale. The scope spans two training surfaces that must run to the same bar: Remote operations: This looks and feels like a high-stakes contact center: nested coaching, certification before live work, quality-driven upskilling, and trainer-to-learner ratios that have to hold as hiring ramps. Ground operations: All the on-the-ground work that it takes to operate our fleet, along with the training programs to enable our R&D Operations. This includes blended e-learning and hands-on and vehicle-in-the-loop training, with dedicated training vehicles and site infrastructure. You will lead a distributed organization of training program managers, instructional designers, training supervisors, trainers, and coordinators, and own the systems our training operations depend on. In this role, you will: Set the Fleet Operations training strategy and roadmap so hiring plans, new-market launches, and vehicle/software milestones have certified people on time without compromising safety. Own program quality end to end: curriculum standards, assessment and certification bars, learner-reaction and performance metrics, pass-rate monitoring, and a recurring upskilling/quality calendar tied to operational error, quality programs, and safety signals (including incident-procedure and safety-program retraining). Scale train-the-trainer and audit delivery across current and new si

We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable. We’ve created our vehicle specifically for dense, complicated urban environments. Zoox is the only driving vehicle on the market with bidirectional driving capabilities and four-wheel steering, allowing us to maneuver through compact spaces and change directions without the need to reverse. The future is for riders! Our growing software engineering leadership team is searching for a Senior Manager of Perception. Our perception stack is responsible for building Zoox’s world-class 3D environment model from multi-modal sensor data. We create novel AI architectures that combine the latest academic results with many in-house innovations in creative ways. Our algorithms are relentlessly optimized and tuned to run efficiently and effectively on a wide variety of real-life data as well as in simulation. You will be responsible for leading high-impact Perception teams with their technical roadmap and milestone goals. You will be closely collaborating with other AI and SW leaders, simulation, and our systems design and mission assurance teams to deliver an exceptional dynamic objects perception system encompassing modalities such as vision, lidar, radar and long-wave IR across pipelines such as segmentation, detection, classification, fusion and tracking. You will lead a diverse, experienced team with a rapidly growing scope and responsibility while also working on some of the most complex problems in artificial intelligence, perception, and sensor fusion. In this role, you will: Build and lead a group of managers and engineers, and be responsible for the team’s roadmap, productivity, execution and impact within the company. Set the vision for, grow, and lead a team of talented software engineers in the overall planning, execution, and success of complex technical projects, while providing the team with technical leadership. Collaborate with engineers and

Zoox's Network Security team architects and defends the digital borders of the company — from corporate offices to engineering labs and product/mission environments. As a Network Security Engineer, you will design, implement, and operate security controls across Zoox's enterprise, OT networks, and cloud infrastructure spanning on-premises data centers and public cloud environments (AWS, GCP), partnering closely with Network Engineering, IT, Product Security, and Software Engineering teams. In This Role, You Will... Design, implement, and maintain secure hybrid/multi-cloud network architectures (AWS/GCP, CloudWAN); enforce zero-trust access controls and network segmentation across corporate, data center, lab, and edge environments; develop and maintain related policies, standards, and architecture diagrams Own and operate next-generation firewall platforms (Palo Alto Networks, Fortinet), managing policy architecture, segmentation, NAT, URL filtering, SSL/TLS decryption, and threat prevention tuning Architect, operate, and own the lifecycle of secure remote access solutions (VPN, ZTNA, site-to-site tunnels), ensuring high availability, certificate-based authentication, and integration with identity providers (SAML, Entra ID) Drive automation and Infrastructure-as-Code (IaC) using Terraform, Python, CI/CD, and REST APIs for configuration management, firewall policies, and security baselines; integrate LLM-based tools to streamline operational tasks and reduce manual toil Oversee security operations including 24/7 network security monitoring, traffic analysis, threat detection, vulnerability assessments, and remediation; support compliance requirements by conducting security reviews for new projects and infrastructure changes Drive 802.1X/certificate-based Network Access Control (NAC) initiatives across wired and wireless environments Collaborate with team members and contribute to cross-functional securi