Systems & Software Integration Engineer

Cerebras Systems•Sunnyvale, CA

12d•$175,000 - $250,000

About The Position

We are looking for a Systems Integration Engineer to join our dynamic Systems team. This role focuses on system validation, system bring-up, integration testing, and end-to-end debugging of high-performance, high-power AI compute systems. You will work cross-functionally to drive issues from initial symptom through root cause and final resolution. Ideal candidates are technically broad, hands-on problem solvers who thrive in a fast-paced, collaborative environment.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field.
4–7 years of industry experience in hardware validation, system bring-up, or integration roles.
Demonstrated ability to isolate and resolve complex, cross-domain system failures.
Hands-on experience using lab equipment (oscilloscopes, logic analyzers, etc.).
Experience with reading schematics, board layouts, and debugging electrical/mechanical issues.
Strong scripting skills (Python preferred) and experience working in Linux environments.
Excellent analytical, troubleshooting, and communication skills.

Nice To Haves

Familiarity with telemetry systems, sensor data, and reliability metrics.
Exposure to manufacturing test environments and data analysis workflows.

Responsibilities

Rapidly ramp up on electrical, thermal, and mechanical aspects of our wafer-scale systems.
Own and execute system bring-up, hardware integration, and validation test plans.
Isolate and debug complex failures across HW/SW boundaries; drive root cause analysis and corrective action.
Collaborate cross-functionally with silicon, hardware, software, validation, and manufacturing teams to resolve issues.
Analyze test results and provide actionable recommendations to improve design and processes.
Participate in design reviews and contribute design-for-test ideas for future products
Interface with vendors, suppliers, and internal engineering stakeholders to ensure system-level performance and reliability.
Use scripting tools (e.g., Python) to automate tests and data collection workflows.
Leverage telemetry and log data to identify system performance issues or failure trends.
Support condition monitoring and potential predictive maintenance efforts.
Strong understanding of embedded systems with an emphasis on debugging complex issues.