Senior Thermo-Controls Engineer - Hybrid, Equity Options

Mainspring Energy; Menlo Park (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Pre-IPO stock options

Job summary

Mainspring Energy in Menlo Park, CA, seeks a Senior Controls Engineer to optimize reaction control in a hybrid on-site/remote role. You will apply physics-based models and modern control algorithms to improve reliability, power, and efficiency of our linear generator platform.

The role requires deep knowledge of thermodynamics and engine control, plus hands-on experience with C++ and Python for model development, testing, and data analysis.

Qualifications

• BS + 5 years relevant experience, MS + 3 years, or Ph.D. in mechanical engineering or related degree.
• Experience designing, implementing, and testing algorithms in thermodynamic machines; engines a plus.
• Strong communication and cross-functional collaboration skills.
• Ability to translate physics models into control strategies.

Responsibilities

• Implement models, algorithms, and MIL, SIL, PIL tests in C++.
• Develop novel fuel, air, compression ratio, and cooling automation and control strategies to improve performance, reliability, and expand capabilities.
• Design, execute, and analyze experiments using Python on virtual or real generators to realize the impact of your work on real generators.
• Collaborate with other controls engineers on designs and architectures.
• Debug sensors, actuators, and subsystems for noise and disturbances and assist in calibration, verification, and validation.

Skills

Self-directed

Excellent communicator

Collaborative

Thermodynamics

Education

BS in Mechanical Engineering

MS in Mechanical Engineering

PhD in Mechanical Engineering

Tools

C++

Python

Job description

Mainspring Energy in Menlo Park, CA, seeks a Senior Controls Engineer to optimize reaction control in a hybrid on-site/remote role. You will apply physics-based models and modern control algorithms to improve reliability, power, and efficiency of our linear generator platform.

The role requires deep knowledge of thermodynamics and engine control, plus hands-on experience with C++ and Python for model development, testing, and data analysis.