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About the Role

Cerebras Systems builds the world's largest AI chip, enabling industry-leading training and inference speeds that transform AI application user experiences and unlock real-time iteration and increased intelligence. We collaborate with leading AI organizations, including a multi-year partnership with OpenAI.

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.
• 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.

Skills

• Python
• C++
• Operating systems fundamentals
• Linux development environments
• Computer architecture
• Hardware-software interactions
• Automation frameworks
• Internal tooling
• Test infrastructure
• Distributed systems concepts
• Networking fundamentals
• Performance analysis
• System telemetry
• Log analysis
• Production systems validation
• Infrastructure reliability engineering

Location

• Remote

Work Type

• Full-time

Experience Level

• Mid-level

Education Level

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related technical field

Benefits

• 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.
• Our simple, non-corporate work culture that respects individual beliefs.

About the Company

• Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs.
• This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
• This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
• Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
• OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Equal Opportunity

• 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.