Vehicle Modeling Engineer Full Time NEW

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 (not to mention, innovative and delightful) 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.

ALSO is looking for a Vehicle Modeling and Data Analyst Engineer to play 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. You’ll build and refine physics-based and data-driven models of vehicle systems (e.g., powertrain, battery, thermal, structural), analyze telemetry and fleet data, and help inform 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, gear boxes, braking, thermal systems).
• Simulate and analyze powertrain behavior under various use cases, operating conditions, and control strategies. 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.
• Ability to take motor electre-magnetic model and convert into form that runs at full system model level.
• Ability to take battery cell supplier data and create cell and pack models for powertrain system level modeling as well as 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 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.

The estimated annual compensation for this position ranges from $160,000 – $220,000 per year, depending on experience and qualifications.

Why ALSO.

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

We’re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces.

Together we’re working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges.