Zoox

Full-stack Engineer

• Design and implement software systems in C++ to manage autonomous vehicle ride states, passenger interactions and vehicle control interfaces while ensuring optimal performance on Linux systems.
• Implement backend cloud features to support Vehicle Experience features end-to-end.
• Architect and integrate mission-critical software components that process data from multiple vehicle sensors and systems, implementing robust error handling and failsafe mechanisms while adhering to automotive-grade safety standards.
• Lead technical design reviews, establish coding standards and mentor junior engineers in best practices for embedded systems development, including memory management, and system optimization.
• Analyze system performance metrics and telemetry data to optimize software efficiency, troubleshoot issues, and make data-driven decisions for improving ride management systems.
• Partner cross-functionally with vehicle software teams, cloud engineers, Product Management, Technical Program Management, UX Design, Quality Assurance and Feature Integration teams to deliver integrated solutions that advance our autonomous vehicle technology.

Senior Software Engineer, Vehicle Experience

Product Designer

• Audit the existing internal platform and identify friction points, inconsistencies, and opportunities for measurable improvement.
• Design clean, modern, minimalistic interfaces that prioritize clarity, hierarchy, and speed of use.
• Systematize. Build and contribute to a reusable component library and design system to ensure consistency across the platform.
• Partner with engineering, product, and end-users to validate ideas through interviews, usability tests, and rapid iteration.
• Translate complex internal workflows into simple, intuitive UI patterns that follow industry best practices.
• Define and track UX metrics (task completion time, error rate, satisfaction) to demonstrate the impact of your work.

UI/UX Design Intern, Internal Platforms

Android Engineer

• Contribute to the end-to-end engineering design and implementation of product features spanning our mobile applications and Kotlin Spring Boot backend.
• Develop and maintain scalable Android applications while contributing to backend microservices.
• Collaborate closely with other engineering teams across Zoox's client, cloud, and vehicle stack to build innovative, end-to-end solutions.
• Partner with design and product teams to create intuitive, efficient, and seamless rider experiences, ensuring smooth data flow from the server to the user interface.
• Help shape the future of rider experiences in autonomous vehicle ride-hailing, solving real-world challenges through fullstack ownership.

Software Engineer, Full-Stack - Android

Machine Learning Engineer

• Research, implement, and train ML models to perform vision based localization
• Curate datasets for model training and validation
• Closely collaborate with validation teams to formulate and execute model validation pipelines
• Integrate models into the greater onboard autonomy system within compute budgets
• Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions

Senior Machine Learning Engineer – Perception Localization

• You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle.
• You will work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc.
• You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field.
• You will develop metrics and tools to analyze errors and understand improvements of our systems.
• You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments.

Software Engineer, Machine Learning

SDET

• Create test strategies and test plans for Zoox’s self-driving behavior features.
• Identify, track, report, and resolve test strategy, planning, or implementation issues with cross-functional software development teams.
• Propose, prototype, and validate a new testing methodology for driving software features using automated metrics.
• Design, develop, and execute synthetic and log-based test scenarios on an in-house simulation test framework.
• Compile triage strategy and triage results from different QA validation platforms and pipelines.
• Lead cross-functional QA participation in various testing pipelines, initiatives, and enablement projects.

Autonomy System Test Engineer

• Lead the development of sophisticated behavioral models for vehicles, pedestrians, and cyclists as a key member of the Attributes team within Zoox's Perception department.
• Create and maintain perception attribute models that generate essential signals, enabling our autonomous vehicles to understand and predict the behavior of various road users.
• You will collaborate closely with Prediction and Planning teams to optimize your models' outputs, directly influencing how our autonomous vehicles make real-time driving decisions.
• Work with data labeling and ontology teams on data labeling and ontology definitions of the road users in different attributes and generate auto-labeling or data mining strategies for different attributes.
• You will help shape the future of autonomous mobility by bridging the critical gap between raw perception data and autonomous decision-making.

Senior/Staff Machine Learning Engineer – Perception Attributes

People Operations

• Act as a strategic thought partner and advisor for business leaders on organizational design and effectiveness, workforce planning, talent practices, compensation, employee relations, learning and development.
• Lead organizational transformations; help design organizations in line with business strategy to drive change and transition management.
• Facilitate and drive all people experience programs for the department - onboarding, performance management, high-potential development program nominations, compensation planning, engagement survey action planning, and recognition programs.
• Manage projects effectively, meeting deadlines and objectives, and coordinate with cross-functional teams when necessary

Senior People Partner

Director

• Create and execute Zoox’s end-to-end talent strategy, encompassing our intern program, internal mobility initiatives, and both proactive and reactive external recruiting strategies.
• Build and evolve talent processes, from sourcing and recruiting to offer delivery, ensuring seamless execution across all stages of the talent acquisition lifecycle.
• Partner with the Manager of HR Technology in the development of talent systems that enhance efficiency and effectiveness, utilizing tools like VNDLY, Lever, Workday, and ServiceNow.
• Lead and inspire a high-performing talent organization. Provide coaching, guidance, and mentorship to team members, fostering a culture of excellence, accountability, and continuous improvement.
• Serve as a trusted advisor to senior business leaders, influencing talent-related decisions and driving alignment on workforce planning and talent needs.
• Keep up-to-date with trends and talent availability in the external market, especially within the tech industry, to ensure Zoox stays competitive in attracting top talent.
• Use market insights to guide and refine talent acquisition strategies and decision-making.
• Be an active partner on the HR leadership team in creating and driving a comprehensive HR strategy.

Senior Director, Talent

• Design and build a high-quality, large-scale mapping dataset and data pipelines for training and evaluating machine learning models
• Design and build tools for model performance benchmarking and introspection
• Collaborate closely with machine learning engineers to define and refine data curation and model training strategies that drive measurable improvements in model accuracy and performance.
• Collaborate cross-functionally with a variety of teams working on things such as perception, planning, prediction, simulation, etc

Software Engineer – Perception, Mapping Data

Analyst

• Lead end-to-end SAP BRIM + SAP RAR solution architecture (SOM → CC → CI → FI-CA → RAR)
• Design and manage subscription lifecycle (order capture, changes, renewals, cancellations)
• Configure billing/invoicing (CI), financials (FI-CA), and revenue recognition (RAR)
• Implement revenue recognition aligned with IFRS 15 and ASC 606 (POBs, allocation, postings)
• Integrate BRIM with RAR for contract creation, allocation, and Finance (FI/GL) postings; ensure seamless data flow
• Handle complex revenue scenarios, ensure compliance/audit readiness, optimize performance, and lead stakeholder alignment & governance

Senior SAP BRIM Analyst – SOM, FI-CA, CI, RAR

• Design and configure real-time charging and rating solutions in SAP Convergent Charging for ride-share use cases, supporting high-volume, event-driven processing (trip, GPS, and usage data).
• Implement complex pricing models including trip fares (base, time, distance), surge/dynamic pricing, cancellations, waiting charges, and driver commissions/platform fees.
• Configure discounts, promotions, referral credits, loyalty programs, and subscription models (e.g., ride passes, premium memberships).
• Integrate SAP CC with ride booking/trip systems, payment gateways/wallets, and SAP BRIM modules (CI, SOM, FI-CA) to enable seamless end-to-end O2C processes.
• Monitor and optimize pricing performance, ensure accurate event rating (trip start/stop, distance/time, peak multipliers), and troubleshoot billing discrepancies and real-time charging issues.

Senior SAP BRIM Analyst – Convergent Charging, CC

• Build real-time instrumentation for performance monitoring of the system as well as benchmarking frameworks to support offline performance evaluation.
• Create performance-optimization workflows (quick iteration loops) to evaluate and analyze performance at scale.
• Analyze profiling data to identify resource utilization hotspots and optimization opportunities.
• Propose and co-implement actionable solutions with software component teams.
• Support teams in helping to squeeze out the maximum performance of their code, while minimizing resource contention.

Senior Software Engineer – Performance

User Researcher

• Design and execute both qualitative and quantitative research that uncovers core user needs, behaviors, and experience patterns
• Synthesize insights into clear frameworks that inform product direction
• Contribute to defining principles that guide the evolution of in-vehicle experience
• Move beyond individual features to map the entire end-to-end vehicle rider experience journey.
• Conduct foundational research in ambiguous, early-stage product areas where the problem space is not well defined.
• Design and run robust quant studies to establish experience benchmarks. You will define what "good" looks like and track our progress against those metrics as the vehicle platform and in-cabin experience evolves.
• Lead a high volume of testing sessions within the vehicle to validate features.
• Investigate how digital touchpoints sync with physical movements and cabin environments.
• Partner closely with Product, Design, and Vehicle Engineering
• Translate research findings into clear implications for product decisions
• Proactively identify opportunities where research can drive impact

UX Researcher, Vehicle Experience

Medical Billing and Coding

• Lead the development of a multi-modality (vision, LiDAR, Radar, and language), temporal foundation encoder to support 3D object detection & tracking, 3D segmentation (occupancy), and live maps.
• Aim to significantly improve system performance on long-tail events and rare classes by utilizing a large-capacity foundation model to learn rich representations across different sensor modalities.
• Improve perception in adverse environmental conditions (such as medium to heavy rain and fog).
• Achieve long-range sensing for highway driving and build robustness to occlusion.
• Explore novel directions such as tri-modal foundation models with self-supervised pre-training, radar-language grounding for zero-shot detection, efficient sensor fusion via sparse cross-attention, or integrating 3D Gaussian Splats for dynamic agent geometry and streaming sparse Gaussian occupancy prediction.