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.

Role Summary

This position develops the test capabilities and experimental evidence needed to assess the reliability of electrical hardware. You will evaluate PCB assemblies, power supplies, AC/DC and DC/DC converters, voltage regulators, and power distribution assemblies through controlled electrical and environmental testing.

A central part of the role is creating practical test solutions: designing and building custom jigs and fixtures, integrating instruments and electronic loads, writing automation, and tracking performance throughout accelerated stress testing. You will work directly with the Systems team to establish realistic operating conditions and evaluate how components, boards, and power modules behave within the complete system.

Electrical failure analysis is also part of the work. You will investigate abnormal behavior, reproduce failures, isolate suspect components or circuits, and collaborate with the Failure Analysis and Design teams to connect test results with failure mechanisms and verify corrective actions.

Key Responsibilities

Design, assemble, and troubleshoot custom electrical test jigs, fixtures, interface boards, load circuits, and wiring harnesses for power electronics and system reliability testing.

Work directly with the Systems team to establish representative workloads, power sequencing, electrical interfaces, operating limits, and monitoring requirements.

Translate product requirements and reliability risks into test plans with defined stress conditions, sample sizes, durations, measurements, and acceptance criteria.

Build automated test setups integrating programmable power supplies, electronic loads, switching hardware, sensors, and data acquisition equipment.

Develop Python or equivalent software for instrument control, test sequencing, continuous monitoring, fault capture, and analysis.

Execute accelerated life testing, burn-in, powered temperature cycling, power/load cycling, and biased temperature/humidity testing based on the hardware and failure mechanisms being evaluated.

Establish electrical baselines and monitor changes before, during, and after stress. Measurements may include efficiency, regulation, ripple and noise, transient response, startup/shutdown behavior, protection functions, and thermal derating.

Investigate electrical failures using schematics, PCB layouts, component datasheets, and bench measurements to isolate shorts, opens, leakage, intermittent behavior, and performance degradation.

Reproduce system-level anomalies in controlled experiments with the Systems team and correlate electrical results with physical failure-analysis findings.

Use DOE, statistical reliability analysis, and physics-of-failure methods to assess degradation, compare design alternatives, and evaluate component or process changes.

Partner with Design, Failure Analysis, Mechanical/Thermal Engineering, Quality, Manufacturing, and suppliers to validate corrective actions and communicate reliability risks.

Maintain calibrated, repeatable test setups with appropriate electrical protection and interlocks.

Document fixture designs, test procedures, results, and investigation findings so that methods can be reproduced and conclusions can guide engineering decisions.

Skills and Qualifications

5+ years of experience in electrical testing, hardware validation, reliability engineering, or electrical failure analysis.