Manufacturing Test Manager
Confirmed live in the last 24 hours
Cerebras Systems
Compensation
$175,000 to $275,000 annually
Job Description
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top 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.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.
About The Role
We are seeking an experienced Manufacturing Test Engineering Lead to lead our team of manufacturing test and test automation engineers. The successful candidate will be responsible for overseeing the development, implementation, and maintenance of test strategies, processes, and systems to ensure the quality and reliability of our products. This is a key leadership role that requires strong technical expertise, excellent communication skills, and the ability to motivate and manage a team of engineers.
Key Responsibilities:
- Lead and manage a team of manufacturing test and test automation engineers, providing guidance, coaching, and development opportunities to ensure their growth and success.
- Develop and implement comprehensive test strategies and plans to ensure product quality and reliability.
- Collaborate with cross-functional teams, including design engineering, manufacturing, and quality assurance, to ensure test requirements are met.
- Lead the team to develop and implement test systems and processes for efficiency, reduce costs, and enhance product quality improvements.
- Collaborate with test automation and diagnostics team to design, develop, and deploy automated test solutions.pythonjavamachine learningaidataproductdesign
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