Control Systems Integration Manager

Apple • Sunnyvale, CA

6h

About The Position

Join a team of passionate and creative engineers dedicated to building
technologies that will shape the future. One of Apple’s R&D groups is currently
seeking a control systems integration manager. This engineering manager will
lead a team to assess performance of control systems prototypes and
sub-components. This includes developing methods, instrumentation and test
software to assess mechanisms, sensors, and electronics. This highly
cross-functional team is working hands on to prototype and develop unique
control systems. We are looking for passionate and creative individuals to push
the performance bounds of control systems design.

DESCRIPTION

In this role you will partner with mechanical, power electronics and embedded FW
engineers to develop robust and highly customized control algorithms for unique
applications. Responsibilities include: Control system analysis, and integration
design, implementation and maintenance of an automated system for optimal system
identification and control system tuning at scale Prototype, develop, bring-up,
debug and characterize new control techniques on real hardware Define factory
test & calibration requirements for complex systems Author engineering
requirements and specifications based on analysis and validation Communicate
progress cross-functionally (written, verbal, and presentation) Perform failure
alysis and problem solving.

Requirements

• MS or PhD in Engineering + minimum of 5 years of industry experience
• Minimum of 2 years of management experience
• Strong knowledge in control engineering, sensor technology, digital signal processing, integration and validation
• Experience in test and debug of physical systems (hardware/software/algorithms)
• Coding skills in C/C++, Matlab/Simulink and/or Python
• Confident with source control (eg. Git) on multi developer projects

Nice To Haves

• Experience with embedded systems testing, analysis and bringup
• Experience with high volume mass production
• Knowledge of Field Oriented Control (FOC) techniques
• Experience in leading root cause analysis using statistical methods such as Design of Experiments (DOEs)
• Experience with statistical analysis tools such JMP, SAS, R, and/or Python (pandas, scipy, etc)
• Skill in code deployment on real time target systems such as dSPACE, Speedgoat, or National Instruments HW systems
• Experience with serial communication protocols such as Ethernet, CAN, LIN, UART, SPI, I2C, BISS

Responsibilities

• Control system analysis, and integration design
• Implementation and maintenance of an automated system for optimal system identification and control system tuning at scale
• Prototype, develop, bring-up, debug and characterize new control techniques on real hardware
• Define factory test & calibration requirements for complex systems
• Author engineering requirements and specifications based on analysis and validation
• Communicate progress cross-functionally (written, verbal, and presentation)
• Perform failure analysis and problem solving.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree