Simulation is central to ensuring the safety and scalability of autonomous vehicles at Zoox. In this role, you will help ensure our next-generation, GenAI-powered simulator is accurate, trustworthy, and effective at evaluating autonomous driving software in a rich virtual world, with dynamic agents and realistic sensor data.
You’ll collaborate with autonomy, safety, and simulation teams to assess how well the simulator predicts real-world on-road performance, then drive improvements through a mix of exploratory data analysis, metrics and validation design, and coding robust pipelines at scale. Your work will directly support Zoox’s ability to safely scale autonomous driving across increasingly complex environments.
In this role, you will:
Design and implement metrics to measure and reliably monitor the accuracy and fidelity of simulated sensors, agents, and virtual environments.
Develop simulator validation strategies, including data mining and dataset selection.
Conduct data-driven analyses at both granular and large scale to identify root causes of simulation inaccuracies by comparing simulation outputs to real-world data, and translate those insights into production-quality validation pipelines.
Write design proposals and drive execution while proactively communicating risks to partner teams.
Build alignment and consensus on simulation validation criteria with Autonomy, Safety, and Simulation teams.
Qualifications:
5+ years of experience in autonomous robotics, sensor processing (lidar, camera, radar), or analyzing complex systems.
Proficiency in Python and data analysis (e.g., Pandas, NumPy, SQL), with a solid foundation in data visualization and basic statistical methods (e.g., histograms, probability distributions, simple hypothesis testing).
Strong critical and analytical thinking, including interpreting complex data to identify impactful insights or root causes.
Strong written and verbal communication skills, with the ability to produce clear engineering design documents and collaborate effectively across teams.
BS, MS, or Ph.D. in Computer Science, Mechanical Engineering, Robotics, or related field.
Bonus Qualifications:
Experience with one or more components of Autonomous Vehicle software stack (e.g., Perception, Prediction, Planning) or simulated testing modalities (closed-loop, open-loop, etc.)
Experience with systems engineering, system requirements, or testing of complex systems.
Experience applying statistical methods to system validation (e.g., confidence intervals, p-values, power analysis)
Additional Information
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.
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.
Questi cookie sono necessari per il funzionamento del sito e non possono essere disattivati nei nostri sistemi. È possibile impostare il proprio browser in modo da bloccare questi cookie, ma alcune parti del sito potrebbero non funzionare.
Sicurezza
Esperienza dell'utente
Cookie orientati al gruppo target
Questi cookie sono impostati attraverso il nostro sito web dai nostri partner pubblicitari. Possono essere utilizzati da queste aziende per profilare i vostri interessi e mostrarvi pubblicità pertinenti altrove.
Google Analytics
Google Ads
Utilizziamo i cookie
🍪
Il nostro sito web utilizza i cookie e tecnologie simili per personalizzare i contenuti, ottimizzare l'esperienza dell'utente e per indvidualizzare e valutare la pubblicità. Facendo clic su Ok o attivando un'opzione nelle impostazioni dei cookie, l'utente accetta questo.
Le migliori offerte di lavoro da remoto via e-mail
Unisciti alle oltre 5'000+ persone che ricevono notifiche settimanali sulle offerte di lavoro da remoto!