AI Systems Integration Engineer

Cerebras Systems; Sunnyvale (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Cerebras Systems builds the world’s largest AI chip and accelerates AI workloads with industry-leading training and inference speeds. The role focuses on bringing up next‑gen hardware, debugging cross‑domain issues, and building automation to streamline validation and production readiness.

The candidate will work across hardware and software teams, developing distributed tooling and observability to accelerate debugging while ensuring robust system performance in a fast‑moving, technically

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

C++

Debugging

Linux

OS fundamentals

Computer architecture

Cross-team collaboration

Communication skills

Education

BS/MS in CS/CE/EE

Tools

Linux dev envs

Automation frameworks

Distributed systems

Networking fundamentals

Telemetry/log analysis

System validation tooling

Job description

Cerebras Systems builds the world’s largest AI chip and accelerates AI workloads with industry-leading training and inference speeds. The role focuses on bringing up next‑gen hardware, debugging cross‑domain issues, and building automation to streamline validation and production readiness.

The candidate will work across hardware and software teams, developing distributed tooling and observability to accelerate debugging while ensuring robust system performance in a fast‑moving, technically