Software Engineer in Test - ML API Features

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.

As a Software Engineer in Test for the ML API features team, you will be involved in testing AI/ML models for accuracy, fairness, and performance. You will play a pivotal role in bringing together and delivering all software and hardware components for Cerebras API Features. You will focus on SW components feature integration and quality and Pre-deployment/production validation for Cerebras inference solution. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products.

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  Understand new features end-to-end, and develop tests and tools to ensure quality.

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  Contribute to industry standard benchmarks.

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  Drive automation to improve internal efficiency.

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  Understand trade off between coverage and resource requirements.

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  Work in a highly agile environment where priorities change frequently.

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  Effectively communicate across teams and timezones.

• 2+ years of relevant industry experience in Software integration, development or quality.

• Strong automation and programming skills using one or more programming languages like Python, C++ or go.

• Experience in testing compute/machine learning/networking/storage systems within a large-scale enterprise environment.

• Experience in debugging issues across distributed scale out deployment.

• Experience working effectively across teams, including product development, product management, customer operations, and field teams.

• Excellent verbal and written communication skills.

• Strong organizational skills, teamwork, and can-do attitude.

• Experience working with geographically dispersed teams across time zones.

• Experience in working with ML workloads such as LLM/Multimodal training or inference.

• Experience with hardware architecture, performance optimizations, compilers and ML frameworks.

• Experience working with distributed systems, cloud and security.

• Experience working with microservices deployment, debugging and orchestration.

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.

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