ML Systems Integration Engineer

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.

Requirements

• 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.
• Able to work effectively across multiple engineering teams and collaborate in highly technical environments.
• Strong communication skills and willingness to work on ambiguous technical problems.

Skills & Qualifications

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

Preferred Skills & Qualifications

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

Benefits

At Cerebras, we are committed to creating an equal and diverse environment and are proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies.

Pay

Competitive compensation package based on experience and qualifications.

Schedule

Full-time position with flexible work arrangements available.

Why Join Cerebras

About People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source their cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• The simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.