Senior Energy Engineer

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