Zoox

Senior Energy Engineer

1149 Chess Dr, Foster City, CA 94404-1102

On-site · Full-time

First seen by offpeak October 3, 2026

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At Zoox, we have set the goal to provide our customers with the highest level of safety while using our fully autonomous vehicles. You will work with a team of world-class engineers with diverse backgrounds such as robotics, controls, simulation, and vehicle engineering to enable our vehicle to deliver outstanding energy efficiency and range in service. Operating a fleet of robotaxis at scale requires balancing performance, cost, and energy usage at the time - in this position, you will spearhead energy management and energy-efficient architectures across the vehicle platform and robotaxi fleet. You’ll collaborate on electrical powertrains, high-voltage batteries, thermal architectures, and low-voltage systems, as well as the sophisticated compute and sensing suites required for autonomous operation.

In this role, you will:

Develop holistic engineering and product strategies for vehicle energy management.
Develop energy budgets, energy saving features, and software controls strategies across sub-systems.
Work closely with simulation engineers to develop digital vehicle models for energy consumption prediction and vehicle design optimization across drive cycles.
Integrate those models into larger end to end simulations to analyze fleet wide energy performance for service operations.
Advocate for energy efficiency as vehicle development progresses - you’ll need passion and backbone to deliver results and make data-driven tradeoffs on behalf of energy.

Qualifications

Bachelor’s degree in engineering, physics, or a related technical field
7+ years of direct experience in system design and energy management in vehicular or robotics domains
Familiarity with design optimization processes, including multi-disciplinary analysis and optimization
Experience working with business and product stakeholders on translating business objective into engineering requirements

Bonus Qualifications

Master’s degree in engineering, physics, or related technical field
Expertise with at least one programming language - Python and/or C++ preferred
Experience with EV charging infrastructure and hardware

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