The Scene Understanding Semantic Reasoning team at Zoox builds the high-performance reasoning engines that allow our autonomous vehicles to navigate complex driving environments and high-speed roads. We translate sensor data and detected objects into deep semantic understanding ensuring our robots make human-level decisions in real-time.
We are seeking experienced engineers passionate about the intersection of robotics and cutting-edge this role you will focus on critical initiatives alongside partner Perception and motion planning teams to develop production-grade multi-task transformers and integrate cutting-edge Vision Language Action (VLA) model outputs to build comprehensive spatial representations for our fleet. You will tackle the inherent unpredictability of urban driving on highways & freeways to improve range and accuracy ensuring our vehicles remain safe and resilient at all times.
In this role you will...
Model Training & Deployment: Design train and deploy deep learning models for semantic reasoning specifically tailored to achieve the extended spatial range and high fidelity required for high-speed highway environments.
Cross-Functional Collaboration: Collaborate with the Scene Intelligence Semantic Grounding and PCP Mapping teams to adapt and elevate the unified machine learning stack for highway scenarios.
Requirements & Validation: Partner with downstream motion planning teams to define semantic representation requirements establish robust validation workflows and ensure model outputs meet strict safety and clearance metrics.
Optimization: Optimize deep learning models for real-time inference efficiency ensuring low-latency execution within the rigorous compute constraints of the Zoox vehicle platform.
Edge Case Resolution: Investigate and resolve perception-related regressions and edge cases found in high-speed driving simulations and live fleet data.
Strategic Architecture: Contribute to the long-term North Star architecture for Perception Semantic Reasoning paving the way for scalable fleet deployment across new vehicle platforms.
Qualifications
MS (35 years) or PhD (02 years) in Computer Science Robotics Electrical Engineering or a related field with professional software engineering experience ideally in autonomous driving robotics or computer vision.
Deep understanding of 2D/3D computer vision semantic segmentation and deep learning architectures.
Exceptional programming skills in modern C and Python.
Hands-on experience with modern deep learning frameworks like JAX or PyTorch.
Proven track record of deploying real-time machine learning models on resource-constrained embedded systems or on-bot hardware.
Bonus Qualifications
Prior experience dealing with highway autonomous driving scenarios and their specific mapping/perception challenges.
Familiarity with state-of-the-art BEV Sparse Transformer architectures and Vision-Language Models (VLMs).
Strong publication record in top AI conferences or journals (e.g. CVPR ICCV ECCV ICML NeurIPS).
$189000 - $258000 a year
Base Salary Range
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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.
Required Experience:
IC
The Scene Understanding Semantic Reasoning team at Zoox builds the high-performance reasoning engines that allow our autonomous vehicles to navigate complex driving environments and high-speed roads. We translate sensor data and detected objects into deep semantic understanding ensuring our robots m...
The Scene Understanding Semantic Reasoning team at Zoox builds the high-performance reasoning engines that allow our autonomous vehicles to navigate complex driving environments and high-speed roads. We translate sensor data and detected objects into deep semantic understanding ensuring our robots make human-level decisions in real-time.
We are seeking experienced engineers passionate about the intersection of robotics and cutting-edge this role you will focus on critical initiatives alongside partner Perception and motion planning teams to develop production-grade multi-task transformers and integrate cutting-edge Vision Language Action (VLA) model outputs to build comprehensive spatial representations for our fleet. You will tackle the inherent unpredictability of urban driving on highways & freeways to improve range and accuracy ensuring our vehicles remain safe and resilient at all times.
In this role you will...
Model Training & Deployment: Design train and deploy deep learning models for semantic reasoning specifically tailored to achieve the extended spatial range and high fidelity required for high-speed highway environments.
Cross-Functional Collaboration: Collaborate with the Scene Intelligence Semantic Grounding and PCP Mapping teams to adapt and elevate the unified machine learning stack for highway scenarios.
Requirements & Validation: Partner with downstream motion planning teams to define semantic representation requirements establish robust validation workflows and ensure model outputs meet strict safety and clearance metrics.
Optimization: Optimize deep learning models for real-time inference efficiency ensuring low-latency execution within the rigorous compute constraints of the Zoox vehicle platform.
Edge Case Resolution: Investigate and resolve perception-related regressions and edge cases found in high-speed driving simulations and live fleet data.
Strategic Architecture: Contribute to the long-term North Star architecture for Perception Semantic Reasoning paving the way for scalable fleet deployment across new vehicle platforms.
Qualifications
MS (35 years) or PhD (02 years) in Computer Science Robotics Electrical Engineering or a related field with professional software engineering experience ideally in autonomous driving robotics or computer vision.
Deep understanding of 2D/3D computer vision semantic segmentation and deep learning architectures.
Exceptional programming skills in modern C and Python.
Hands-on experience with modern deep learning frameworks like JAX or PyTorch.
Proven track record of deploying real-time machine learning models on resource-constrained embedded systems or on-bot hardware.
Bonus Qualifications
Prior experience dealing with highway autonomous driving scenarios and their specific mapping/perception challenges.
Familiarity with state-of-the-art BEV Sparse Transformer architectures and Vision-Language Models (VLMs).
Strong publication record in top AI conferences or journals (e.g. CVPR ICCV ECCV ICML NeurIPS).
$189000 - $258000 a year
Base Salary Range
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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.
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
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