AI Hardware Systems Integration Engineer

Precision Labs; Sunnyvale (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Cerebras Systems is seeking a software engineer to contribute to bring-up of next-generation AI hardware and the supporting software stack. You will debug complex hardware-software interactions, build automation, and develop tests for distributed systems during development and production cycles.

The role emphasizes collaboration with hardware teams, improving observability, and diagnosing issues during early deployment, aiming for robust production readiness in a fast-moving AI hardware

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

Concurrency

Computer architecture

Team collaboration

Communication

Education

Bachelor's or Master’s in CS/CE/EE

Job description

Cerebras Systems is seeking a software engineer to contribute to bring-up of next-generation AI hardware and the supporting software stack. You will debug complex hardware-software interactions, build automation, and develop tests for distributed systems during development and production cycles.

The role emphasizes collaboration with hardware teams, improving observability, and diagnosing issues during early deployment, aiming for robust production readiness in a fast-moving AI hardware