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ALSO.

Powertrain Modeling Engineer

ALSO., Palo Alto, California, United States, 94306

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Powertrain Modeling Engineer About ALSO.

We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new vertically integrated small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO—replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10‑50x more efficient.

Role Overview

The Vehicle Modeling & Data Analyst Engineer plays a key role in developing and leading the reliability of multiple electric mobility vehicles over the full development cycle. As a Physical Systems Modeling & Data Analyst, you’ll bridge the gap between theoretical modeling and real‑world performance, building and refining physics‑based and data‑driven models of vehicle systems (e.g., powertrain, battery, thermal, structural), analyzing telemetry and fleet data, and informing engineering design decisions, testing, and product development.

What You Will Do

Develop and maintain multi‑domain and high‑fidelity models of vehicle subsystems of an electric vehicle (e.g., drivetrains, battery systems, inverters, DC/DC converters, motors, gearboxes, braking, thermal systems).

Simulate and analyze powertrain behavior under various use cases, operating conditions, and control strategies. Provide deep expertise in electrical system dynamics, transient current behavior, and battery ripple current analysis to support the design, optimization, and validation of advanced electrified powertrains.

Create models that aid in analyzing efficiency, range estimation, thermal performance, cost analysis, and drive cycle generation.

Convert motor electre‑magnetic models to forms that run at full system model level.

Translate battery cell supplier data into cell and pack models for powertrain system–level modeling and for use in BMS algorithm development.

Process and analyze data collected from prototypes, test benches, and field‑deployed vehicles.

Correlate model predictions with real‑world data to validate and refine simulations.

Work cross‑functionally with hardware, firmware, and software teams to improve model fidelity and product performance.

Support data pipelines and dashboards for system health monitoring, usage profiling, and reliability tracking.

Translate modeling and data insights into actionable engineering recommendations.

What You Will Bring

Bachelor’s degree minimum, Master’s degree preferred in Mechanical Engineering, Mechatronics, Physics, Electrical Engineering, or a related field.

6+ years of experience in physical systems modeling (e.g., Simulink, Modelica, MATLAB, or equivalent tools).

Strong Matlab and Simulink experience.

Strong experience with Python or other data analysis tools (e.g., Pandas, NumPy, Jupyter).

Familiarity with vehicle dynamics, control systems, or battery/electric powertrain modeling.

Hands‑on experience with time‑series data analysis and signal processing, including filtering and Fourier analysis.

Familiarity with CAN bus protocols, vehicle telemetry, or IoT data systems.

Estimated annual compensation: $160,000 – $220,000 per year, depending on experience and qualifications.

Perks and Benefits

Robust health coverage – excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options.

One Medical membership and dedicated insurance advocates.

Rich fertility and family‑building benefits with Progyny.

Flexible time off.

401(k) match.

We’re passionate about helping the world find a better way to get there—wherever it is you’re headed.

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