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Parallel Systems

Senior Controls Engineer

Los Angeles, CA, United States

$175,000 - $215,000 USD

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Job details

Pay: $175,000 - $215,000 USD
Experience: 5+ years of experience developing control software for physical systems, with substantial time spent in modeling and simulation
Posting language: English
Posted: Nov 2, 2026

Original job description

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight.

Senior Controls Engineer

Parallel is seeking a Senior Controls Engineer with deep expertise in control systems development to join our engineering team. This role focuses on modeling, simulating, and designing the software that controls the electrical and mechanical systems on our rail vehicles, and on proving that software out in simulation before it reaches hardware. The ideal candidate has a strong foundation in control systems theory, extensive experience using simulation to develop and verify controllers, and a proven track record of delivering high-quality, real-time control software.

Responsibilities

Develop and maintain plant models of vehicle dynamics, powertrain, and braking systems, and use them to analyze, simulate, and tune controllers in tools such as MATLAB/Simulink or Python
Design and implement control algorithms for vehicle systems, validating them in simulation before deployment to embedded targets
Build and own simulation infrastructure, including model-in-the-loop (MIL), hardware-out-of-the-loop (HOOTL) and hardware-in-the-loop (HITL) environments, used to verify control software ahead of vehicle testing
Use modeling and simulation to derive sensor and actuator requirements that meet system performance needs
Correlate simulation results against test and field data to validate and improve model fidelity
Support system integration and vehicle testing, using simulation to reproduce and debug issues observed on hardware
Ensure high reliability, safety, and performance in all control software implementations

What Success Looks Like

In 30 days: You have defined requirements and an architecture for the platooning simulation suite. You have run the existing code and have developed a feature roadmap to achieve the analysis goals required for the project
In 60 days: You have implemented the simulation MVP and are running real test cases. You have evaluated the baseline assumptions of our platooning model and have identified improvements to the controls stack to achieve better performance.
In 90 days: You have used the HOOTL simulation to drive performance upgrades in the controls stack and have implemented the onboard features required for real-world testing. You are running a test campaign using real Parallel vehicles to validate the outputs of the model and ground our software stack

Basic Qualification

Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Software Engineering, Mathematics, or a related field
5+ years of experience developing control software for physical systems, with substantial time spent in modeling and simulation
Strong understanding of control theory, including PID, state-space, observers, system dynamics, and system identification
Proficiency in C/C++, Python, or similar languages used in both simulation and embedded systems development
Proficiency with modeling and simulation tools such as MATLAB/Simulink, Isaac Sim or equivalent Python-based frameworks, and with MIL, SIL, and HIL testing workflows

Preferred Qualifications

Experience building simulation infrastructure, digital twins, or automated simulation-based regression testing for control software
Distributed or multi-agent control: string stability, cooperative adaptive cruise control (CACC), or similar.
State estimation (Kalman filtering, sensor fusion) and system identification from field data.
Robust control, or hybrid systems that combine continuous dynamics with discrete events like contact and impact.
NVIDIA Isaac Sim, Omniverse, or similar simulators such as Gazebo, MuJoCo, or Drake.
Familiarity with embedded platforms (e.g., ARM Cortex, DSPs, RTOS-based systems)
Exposure to the automotive, aerospace, or robotics industries
Experience developing with Rust, especially in embedded platforms
Experience modeling and simulating vehicle dynamics, braking systems, electric powertrains, or sensor fusion
Prior ownership of a controls project from modeling and simulation through implementation, testing, and deployment

We are committed to providing fair and transparent compensation in accordance with applicable laws. Salary ranges are listed below and reflect the expected range for new hires in this role, based on factors such as skills, experience, qualifications, and location. Final compensation may vary and will be determined during the interview process. The target hiring range for this position is listed below.

Target Salary Range:

$175,000 - $215,000 USD

Parallel Systems is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to any discriminatory factor protected by applicable federal, state or local laws. We work to build an inclusive environment in which all people can come to do their best work.

Parallel Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, Parallel Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your recruiter.

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More about this job

Skills

Develop instrumentation systems
Control systems
The MathWorks MATLAB
Python
ICT system integration
Electrical engineering
Mechanical engineering
C
C++
Embedded systems
SIL
Estimating
Gazebo
RTOS
Robotics
Rust

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