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# ML Systems Integration Engineer

- **Company:** Cerebras Systems
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Build Automation, C++ (Programming Language), Computer Programming, Computer Engineering, Software Debugging, Distributed Systems, Memory Management, Python (Programming Language), Log Analysis, Networking Basics, Reliability Engineering, Software Engineering, Software Systems, System Testing, Systems Integration, Diagnostic Tools, Concurrency, Linux Development, Information Technology, Hardware Acceleration
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/72dd2b17-f113-45b5-a911-d2259f568422

## About the Role

* BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related technical field.
 * Strong programming skills in Python and/or C++.
 * Excellent debugging and problem-solving skills with ability to investigate complex technical issues methodically.
 * Solid understanding of operating systems fundamentals (processes, threads, memory management, concurrency, IPC).
 * Experience working in Linux development environments.
 * Understanding of computer architecture and interactions between hardware and software systems.
 * Strong analytical thinking and ability to break down complex system failures into actionable root causes.
 * Ability to work effectively across multiple engineering teams and collaborate in highly technical environments.
 * Strong communication skills and willingness to work on ambiguous technical problems.

Preferred Skills & Qualifications

 * Experience building automation frameworks, internal tooling, or test infrastructure
 * Familiarity with distributed systems concepts
 * Experience debugging large-scale systems or complex infrastructure environments
 * Understanding of networking fundamentals and communication between distributed systems
 * Experience working with hardware-adjacent software or system integration environments
 * Familiarity with performance analysis, system telemetry, and log analysis
 * Exposure to production systems validation or infrastructure reliability engineering

## Description

* Participate in bring-up of next-generation AI hardware systems and supporting software infrastructure.
 * Debug complex system-level issues spanning hardware and software interactions.
 * Investigate failures occurring during system bring-up and identify root causes using logs, telemetry, and diagnostic tools.
 * Build automation frameworks and internal tooling that improve system validation and debugging workflows.
 * Develop software used to test, validate, and stress distributed hardware systems during development and production cycles.
 * Collaborate closely with hardware engineers to isolate and resolve system integration issues.
 * Improve system observability by building tools that surface failures quickly and accelerate debugging.
 * Reproduce, triage, and diagnose difficult issues that arise during early hardware deployment.
 * Support validation and qualification of new hardware generations as systems move toward production readiness.
 * Continuously improve internal engineering workflows related to debugging, testing, and automation.


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