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Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Lead the Perception team in developing occupancy models and advanced AI techniques while collaborating cross-functionally. Oversee the team’s roadmap and technical strategy, ensuring high performance and reliability in complex environments.
Summary Generated by Built In
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 Perception team is searching for an Engineering Manager for the Perception Occupancy and Rare Events team. 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 teams including Simulation, Sensor and Hardware, and Systems Design and Mission Assurance teams to deliver an exceptional objects occupancy perception system encompassing modalities such as vision, lidar, radar and long-wave IR. 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:
- Lead Technical Strategy: Build and lead a team of managers and engineers responsible for core occupancy modeling and rare event detection, driving the team’s roadmap, productivity, and execution.
- Drive Model Evolution: Own the development and deployment of critical perception models, overseeing the consolidation of multi-modal architectures and guiding technical design to enhance detection range, robustness and accuracy.
- Innovate with Advanced ML: Lead the adoption of state-of-the-art computer vision and machine learning techniques—such as foundation models and efficient geometrics representations—to improve performance on long-tail classes and support geofence expansion and fleet size expansion.
- Collaborate on Simulation & Data: Collaborate cross-functionally with simulation and data teams to leverage synthetic data and edge-case scenarios, ensuring the perception system performs reliably in adverse weather and safety-critical environments.
- Ensure Organizational Excellence: Drive organizational health by balancing technical leadership with people management, establishing best practices for data-driven decision-making, and enabling the team to scale effectively.
Qualifications:
- Strong understanding of computer vision systems, AI software stacks, and sensor fusion across multiple modalities.
- 3+ years of technical leadership experience, 10+ years of experience in computer vision, machine learning and related fields.
- Strong leadership skills in recruiting, leading, growing, and managing technical team members in solving challenging problems, and building critical components of a real-time system
- Expertise in implementing autonomy solutions and deploying real-world systems
- Experience with recent AI approaches including VLM, LLM, Transformers and GenAI (3D/4D GS, Diffusion, NeRF).
Bonus Qualifications:
- Familiarity with perception of autonomous vehicles or similar robots
- Hands-on experience having deployed real products or platforms into the real world, and intimately understanding the challenges of working with complex systems
- Involvement in validation or evaluation of risk and/or safety-critical systems
Skills Required
- Strong understanding of computer vision systems, AI software stacks, and sensor fusion across multiple modalities
- 3+ years of technical leadership experience, 10+ years of experience in computer vision, machine learning and related fields
- Strong leadership skills in recruiting, leading, growing, and managing technical team members
- Expertise in implementing autonomy solutions and deploying real-world systems
- Experience with recent AI approaches including VLM, LLM, Transformers and GenAI
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
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The Company
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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