Engineering Manager, System Performance Algorithms

Teradyne•Agoura Hills, CA

2d•$201,000 - $321,600•Onsite

About The Position

This is a visible engineering leadership role for someone who wants to shape the calibration software and algorithms behind advanced semiconductor system-on-chip (SOC) test systems. You will lead a team responsible for turning instrument capability into repeatable, production-ready measurement accuracy across digital, DC, and AC/RF measurement instruments used within automated test platforms. The work directly affects instrument performance, system uptime, manufacturing throughput, product quality, and customer confidence. Why This Role Matters Calibration is a core enabler of SOC test system performance, accuracy, and repeatability. This team develops the software, algorithms, data analysis methods, and engineering practices that make high-precision instruments production-ready. The right leader will help scale calibration capability across platforms while improving accuracy, reducing calibration time, and strengthening manufacturing readiness.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related technical field.
8+ years of relevant engineering experience, including experience leading engineering teams or technical projects that deliver production-quality software, algorithms, test capability, or instrumentation solutions.
Practical understanding of calibration, instrumentation, automated test equipment, semiconductor test, high-precision measurement systems, or related domains.
Software fluency sufficient to guide algorithm development, automation, debugging, and integration in environments such as C#, C/C++, Python, IG-XL, or similar test software frameworks.
Demonstrated ability to collaborate across hardware, software, manufacturing, quality, and product teams while communicating clearly with technical and non-technical stakeholders.
Experience with semiconductor or electronics manufacturing environments, including new product introduction (NPI), production test, or manufacturing readiness.
Familiarity with statistical process control, data analytics, predictive maintenance, Six Sigma methods, ISO, NIST, or other calibration and quality standards.
Experience improving measurement accuracy, calibration cycle time, test throughput, system uptime, yield, or first-pass success in a complex engineering environment.

Nice To Haves

Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related technical field.
Experience with SOC test systems, ATE platforms, RF/AC instrumentation, DC instrumentation, or digital instrument calibration.
Background leading teams that combine software, hardware, data analysis, and system-level debug.
Track record of mentoring engineers, improving engineering process, and developing repeatable methods rather than depending on isolated individual contributions.

Responsibilities

Guide the calibration software and algorithm roadmap for digital, DC, and AC/RF measurement instruments used in SOC test systems.
Lead and develop a team of hardware and software-oriented calibration engineers, setting clear priorities, technical direction, and delivery expectations.
Lead automated calibration algorithm development that improves measurement accuracy, reduces calibration cycle time, and supports scalable manufacturing deployment.
Oversee integration of calibration routines into Teradyne’s IG-XL test software environment and related maintenance software workflows, including C#-based workflows and supporting automation.
Use calibration data, statistical process control, and failure trends to identify systemic improvements, reduce downtime, and improve successful completion of calibration or test workflows on the first attempt.
Partner closely with hardware, software, manufacturing, quality, and product teams to ensure calibration methods support product requirements, compliance expectations, and customer use cases.
Build a team culture focused on engineering rigor, accountability, continuous improvement, and practical innovation.