# Software Engineer - Low Speed Motion Planning & Control

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** Fullstack Engineering
**Salary:** $125k – $232k/yr
**Experience:** 3+ years
**Skills:** C++, Control Theory, Numerical Optimization, Motion Planning, Mpc, Mppi, Physics, Numerical Analysis, Machine Learning, Misra, Autosar, Quadratic Programming
**Posted:** 2026-04-21

> Develops low-speed motion planning and control systems for autonomous vehicles, implementing modules for accurate navigation, characterizing vehicle dynamics, and applying optimal control techniques like MPC and MPPI. Requires 3+ years experience with C++, control theory, and real-vehicle testing.

## Job Description

## Responsibilities
- Design and implement motion planning and controls modules that can be deployed on various vehicle platforms, enabling them for highly accurate autonomous navigation in tight scenarios.
- Characterize the dynamics of our customers' vehicles to create tailored controls solutions and to reduce the gap between simulation and real-world dynamics.
- Evaluate and utilize academic research to create optimal-control-based solutions using techniques like **nonlinear MPC** and **MPPI control**.

## Requirements
- Passion about tackling challenging motion planning or motion control problems.
- **3+ years** of experience building production software using modern software practices.
- Hands-on experience testing controls solutions on real, production-grade vehicles.
- Fluency in **control theory**, **numerical optimization**, **numerical analysis**, and **physics**.
- Enthusiasm for coming up with practical solutions to cutting-edge challenges in a fast-paced environment.
- Experience writing high-performance **C++** code.

## Nice to Have
- MSc or PhD in mechanical engineering or computer science with coursework or research experience in motion planning or controls.
- Experience writing software that is compliant with guidelines for safety-critical C++ code, such as **MISRA** and **AUTOSAR**.
- Experience using **quadratic programming solvers** or **nonlinear optimization tools**.
- Experience applying **machine learning** techniques to vehicle dynamics modeling.
- Experience working both with large industrial/commercial vehicles, as well as passenger cars.

## Compensation
**Base salary range**: $125,000 - $232,000 USD annually (plus equity and benefits).

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