Control Engineer

MaximaTek; Fremont (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Interview coaching

Technical resume rebuild

Job summary

MaximaTek seeks a detail-oriented Control Engineer to design, develop, and optimize automated control systems across engineering projects. You will bridge hardware design teams, embedded software engineers, and system architects to ensure high efficiency, stability, and compliance.

Responsibilities include end-to-end control algorithm lifecycle, HIL/SIL simulations, and rigorous documentation per ISO standards. Proficiency in MATLAB/Simulink and C/C++ or Python is required.

Qualifications

• Bachelor’s degree in Electrical/Control/Mechanical/Computer Engineering (required).
• 0–5 years in control systems design, dynamic modeling, embedded control, or HIL testing.
• Strong MATLAB/Simulink proficiency for modeling and system simulation.
• Experience with C/C++ or Python for embedded environments.
• Familiarity with sensors and CAN/Ethernet/SPI/UART protocols.
• Excellent technical writing and analytical skills.

Responsibilities

• Oversee design, modeling, simulation, and hardware implementation of control algorithms.
• Maintain control system documentation and safety analyses per standards.
• Model dynamic systems, derive transfer functions, and perform frequency analysis.
• Identify bottlenecks and design fault-detection and isolation algorithms.
• Develop test plans and conduct HIL/SIL simulations and audits.
• Collaborate with suppliers and cross-functional teams during evaluations.

Skills

Control theory

Dynamic systems modeling

Signal processing

MATLAB/Simulink

C/C++ or Python

Sensor integration

CAN Ethernet SPI UART

Technical writing

HIL testing

Model Predictive Control (MPC)

ISO 26262 / IEC 61508 familiarity

Education

Bachelor’s degree in Electrical/Control/Mechanical/Computer Engineering

Tools

dSPACE

NI VeriStand

Speedgoat

Job description

We are seeking a detail-oriented Control Engineer to design, develop, and optimize automated control systems and feedback algorithms across our engineering projects. In this role, you will bridge the gap between hardware design teams, embedded software engineers, and system architects—ensuring all dynamic systems operate with high efficiency, robust stability, and strict adherence to industry compliance standards.

Core Responsibilities

• Control System Lifecycle Management: Oversee the end-to-end design, modeling, simulation, and hardware implementation of classical and modern control algorithms (PID, state-space, MPC).
• Regulatory & Functional Compliance: Maintain detailed control system documentation, code repositories, and safety analyses; align design activities with safety frameworks (e.g., ISO 26262, IEC 61508) and internal SOPs.
• System Dynamics & Signal Integrity: Perform dynamic system modeling, transfer function derivation, frequency domain analysis (Bode plots, Nyquist), and sensor signal conditioning/filtering to ensure system performance and stability.
• Risk Mitigation & Diagnostics: Identify system performance bottlenecks, latency risks, and stability margin degradation; design fault detection and isolation algorithms to handle dynamic failures safely.
• Quality Assurance & Verification: Author test plan specifications, execute hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulations, and assist in technical audits to ensure tape-out/manufacturing readiness.
• Technical Liaison: Function as the key technical contact for hardware component suppliers, sensor vendors, and cross-functional teams during performance evaluations and integration reviews.

Qualifications

• Education: Bachelor’s degree in Electrical Engineering, Control Systems Engineering, Mechanical Engineering, Computer Engineering, or a related field (Required).
• Experience: 0–5 years of experience in control systems design, dynamic modeling, embedded control, or hardware-in-the-loop testing.
• Technical Skills (Required):
• Strong foundation in linear/nonlinear control theory, dynamic systems modeling, and signal processing.
• Proficiency with MATLAB/Simulink for modeling and system simulation.
• Hands-on experience with dynamic system programming in C/C++ or Python for embedded environments.
• Familiarity with sensor integration (IMUs, encoders, pressure sensors) and standard communication protocols (CAN, Ethernet, SPI, UART).
• Strong technical writing and analytical skills.
• Preferred Skills:
• Experience with Hardware-in-the-Loop (HIL) testing tools (e.g., dSPACE, NI VeriStand, Speedgoat).
• Knowledge of system identification, state estimation algorithms (Kalman Filters), or Model Predictive Control (MPC).
• Familiarity with functional safety standards (ISO 26262 / IEC 61508) and low-power embedded design.

What We Offer

• Targeted Placement: Direct marketing to our network of hiring managers in the Tech, Semiconductor, Manufacturing, Automotive, and MedTech industries.
• Technical Resume Rebuild: Optimization of your profile to highlight control architecture, system modeling, and HIL testing expertise.
• Interview Coaching: Guidance on technical control theory, MATLAB/Simulink coding, and system design case studies.