Responsibilities
Execute the PCP metrics pipeline, assessing how hardware updates across various sensors impact PCP performance sensitivity in 3D scene understanding, live mapping and localization, especially in adverse weather and winter conditions.
Design and run structured A/B testing experiments, including side-by-side custom mount runs and tandem vehicle data collection, to clear sensors for the winter ODD.
Collaborate with AHE to correlate sensor-specific lab tests (e.g., heater/defroster impacts on camera lenses, snow accumulation on radomes) to downstream PCP performance.
Root cause detection regressions to understand how early fusion models compensate for modality degradation in challenging environments.
Design & develop performant and efficient multi-sensor fusion model to leverage the complementary advantage of on-board (low cost) sensors to improve Perception performance for highway and adverse weather.
Qualifications
Strong C++ and Python for running and modifying PCP metrics pipelines, automated testing, and re-simulations.
Experience with A/B testing methodology (RBV - Risk Balanced Verification) for evaluating hardware/software changes in varied environments.
Familiarity with diverse perception outputs and how environmental factors (like snow or fog) degrade bounding box precision/recall, point clouds, and 3D occupancy.
Ability to define complex data collection plans for winter ODDs (e.g., specific snow types, ice, low temperatures).
Experience with designing, developing and deploying multi-modality fusion based Perception models for 3D object detection, 3D segmentation & occupancy, Mapping and Localization.
Bonus Qualifications
Experience in performance optimization to fit complex ML stack to low-power low cost edge compute (e.g., Nvidia Thor, TensorRT optimization).
Experience with designing better sensor or better ML model for an anomaly or rare event/objects detection
Skills Required
- Strong C++ and Python for running and modifying PCP metrics pipelines, automated testing, and re-simulations
- Experience with A/B testing methodology for evaluating hardware/software changes
- Familiarity with diverse perception outputs and environmental degradation effects
- Ability to define complex data collection plans for winter ODDs
- Experience with designing and deploying multi-modality fusion based Perception models
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.
-
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.
-
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.
-
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.
Gallery
.jpg)
