Power Manufacturing Test Development Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Manufacturing Test Development Engineer

Position Overview

Cerebras Systems is seeking a Manufacturing Test Development Engineer to develop, implement, and optimize automated manufacturing test solutions for advanced AI computing hardware. This role will focus on designing and deploying robust test fixtures, hardware interfaces, qualifying manufacturing test processes, and driving production test coverage, yield, throughput, and reliability.

The ideal candidate combines strong hardware troubleshooting skills with software development and manufacturing engineering experience. You will work closely with hardware design, systems engineering, firmware, software, quality, and contract manufacturing teams to ensure complex computing systems are tested consistently and efficiently throughout the manufacturing lifecycle.

Key Responsibilities

Develop and maintain automated test systems for advanced computing hardware, including system boards, high-speed interconnects, power delivery, cooling subsystems, and integrated computing platforms.

Design manufacturing test strategies covering board-level functional testing, system integration, hardware diagnostics, and final system acceptance.

Develop test procedures, test specifications, test fixtures, and supporting documentation for new product introduction (NPI) and production ramp.

Define test coverage requirements, acceptance criteria, and pass/fail limits in collaboration with design, quality, and test teams.

Evaluate and implement appropriate test methodologies, instrumentation, and automation frameworks to improve manufacturing test effectiveness.

Integrate test equipment, programmable power supplies, electronic loads, oscilloscopes, digital multimeters, communication interfaces, and hardware management controllers.

Support NPI builds, pilot production, manufacturing qualification, and high-volume production ramp.

Troubleshoot manufacturing test failures and collaborate with cross-functional teams to identify root causes and implement corrective actions.

Drive continuous improvement initiatives focused on test cycle time, station utilization, process repeatability, and manufacturing cost.

Verify that manufacturing test solutions are repeatable, maintainable, and suitable for deployment across production sites.

Partner with design engineering, systems engineering, firmware, software, quality, supply chain, and contract manufacturing teams.

Support manufacturing test station deployment, equipment qualification, operator training, and process documentation.

Communicate test results, production risks, and improvement opportunities to engineering and operations stakeholders.

Required Qualifications

Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related technical discipline, or equivalent practical experience.

5+ years (10 years is ideal) of experience in manufacturing test development, hardware validation, test automation, or production engineering.

Proficiency in Python for test automation, hardware control, data processing, and diagnostic development.

Hands-on experience testing electronic assemblies, computer systems, embedded hardware, or complex electromechanical products.

Experience integrating automated test software with laboratory or manufacturing test equipment.

Strong understanding of digital electronics, power electronics fundamentals, communication interfaces, and hardware bring-up.

Experience with contract manufacturers and outsourced manufacturing operations.

Preferred Qualifications

Experience with automated manufacturing test frameworks, hardware-in-the-loop testing, and production test station development.

Familiarity with statistical process control (SPC), failure analysis, root-cause methodologies, and corrective action processes.

Experience with SQL, dashboards, data visualization, or other tools for manufacturing test data analysis.

Knowledge of design for testability, design for manufacturability, and manufacturing process qualification.

The salary range for this position is $180,000 – $220,000 annually. Actual compensation will be determined based on factors such as experience, skills, qualifications, and location.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.

Publish and open source their cutting-edge AI research.

Work on one of the fastest AI supercomputers in the world.

Enjoy job stability with startup vitality.

Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here !

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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