In this role, you will:
- System Synthesis: Define the end-to-end perception architecture—assess new sensing (LiDAR, Radar, Camera) to the final fused world model.
- Hardware-Software Co-Design: Partner with Compute and Sensing teams to influence the design, ensuring our algorithms have the "computational oxygen" they need.
- Algorithmic Strategy: Lead the transition from current pipelines to AI innovation pipelines, while maintaining the safety and interpretability required for edge deployment.
- Future-Proofing: Evaluate emerging technologies and determine their viability for the 3-5 year roadmap.
- Performance Budgeting: Collaborate on rigorous metrics for latency and accuracy across diverse edge-computing environments.
- Lead cross functional teams: to create a viable plan to move to new platforms and unlock further technical capabilities for Perception systems. Coordinate projects across partner teams to make sure work is aligned with the overall org direction.
Qualifications
- Education: Ph.D. or MS in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision.
- Experience: 8+ years in autonomous systems with at least 2 years in an architectural role, shipping and evolving perception systems
- Deep Domain Expertise: Mastery of systems focused on Computer Vision, Deep learning, Foundational models, Sensor Fusion, and State Estimation (SLAM, EKF/UKF). Deep understanding of sensor modalities and their impact to perception/autonomy systems, including: Camera, lidar, radar.
- Platform Proficiency: Deep understanding of hardware acceleration, component budgeting and transition to new platforms.
- Mathematical Rigor: Strong foundation in 3D geometry, linear algebra, and probabilistic robotics.
- Hands on Skills: Proficiency in C++ (production-grade) and Python (rapid prototyping). Ability to run experiments across system components and run metrics platforms.
- Soft Skills: Curious, Data driven, with ability to translate complex technical trade-offs to non-technical stakeholders and executive leadership.
Skills Required
- Ph.D. or MS in Computer Science, Robotics, Electrical Engineering or related field
- 8+ years in autonomous systems with 2 years in an architectural role
- Mastery of systems focused on Computer Vision, Deep learning, Sensor Fusion, State Estimation
- Deep understanding of hardware acceleration and component budgeting
- Strong foundation in 3D geometry, linear algebra, and probabilistic robotics
- Proficiency in C++ and Python
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.
Zoox Insights
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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