Senior ML Software Engineer - Integration & Quality

<div class="content-intro"><p><span data-contrast="none">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. </span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335559685":0,"335559737":240,"335559738":240,"335559739":240,"335559740":279}"> </span></p> <p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. <a href="https://openai.com/index/cerebras-partnership/">OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. </p> <p>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.</p></div><h3><strong>About The Role</strong></h3> <p>As a Senior Software Engineer in ML Integration and Quality team, you will play a pivotal role in bringing together and delivering all software and hardware components for Cerebras AI platform. You will focus on SW components feature integration and quality. Pre deployment/production validation for Cerebras training and 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.</p> <h3>Responsibilities</h3> <ul> <li>Develop and execute a comprehensive integration and QA strategy aligned with the roadmap of the Cerebras AI solution.</li> <li>Execute with good software integration methodology, collaborate with effective communication and ensure quality.</li> <li>Break down complex tasks into smaller tasks, be a problem solver and help debug</li> <li>Automation of workflows, testbed setups and building tools to monitor/debug.</li> <li>Implement creative ways to break Cerebras software and identify potential.</li> <li>Contribute to developing SW specifications with a focus on ML.</li> <li>Drive quality of various software and hardware components of Cerebras AI platform to ensure accuracy, performance and usability of ML training and inference.</li> <li>Ability to work in a fast-paced environment and make the necessary prioritizations and judgements which affects productivity at a company.</li> <li>Define and implement quality metrics to measure product and process quality, provide actionable insights and recommendations to drive continuous.</li> <li>Provide regular updates on quality, key metrics, and risks to engineering and business stakeholders.</li> <li>Collaborate with software and product team to develop clear acceptance criteria and deliver quality product.</li> <li>Execute and deliver with strong sense of ownership and quality driven.</li> </ul> <h3>Minimum Skills Qualifications</h3> <ul> <li>5+ years of relevant industry experience in Software integration, development.</li> <li>Strong automation and programming skills using one or more programming languages like Python, C++ or go.</li> <li>Experience in testing compute/machine learning/networking/storage systems within a large-scale enterprise environment.</li> <li>Experience in debugging issues across distributed scale out.</li> <li>Experience in understanding complex systems and putting together thorough test-plans.</li> <li>Experience working effectively across teams, including ... (truncated, view full listing at source)