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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. 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.
Job Responsibility:
Develop and execute a comprehensive integration and QA strategy aligned with the roadmap of the Cerebras AI solution
Execute with good software integration methodology, collaborate with effective communication and ensure quality
Break down complex tasks into smaller tasks, be a problem solver and help debug
Automation of workflows, testbed setups and building tools to monitor/debug
Implement creative ways to break Cerebras software and identify potential
Contribute to developing SW specifications with a focus on ML
Drive quality of various software and hardware components of Cerebras AI platform to ensure accuracy, performance and usability of ML training and inference
Ability to work in a fast-paced environment and make the necessary prioritizations and judgements which affects productivity at a company
Define and implement quality metrics to measure product and process quality, provide actionable insights and recommendations to drive continuous
Provide regular updates on quality, key metrics, and risks to engineering and business stakeholders
Collaborate with software and product team to develop clear acceptance criteria and deliver quality product
Execute and deliver with strong sense of ownership and quality driven
Requirements:
5+ years of relevant industry experience in Software integration, development
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
Experience in understanding complex systems and putting together thorough test-plans
Experience working effectively across teams, including product development, product management, customer operations, and field teams
Excellent verbal and written communication
Strong organizational skills, teamwork, and can-do attitude
Experience working with geographically dispersed teams across time
Nice to have:
Experience in working with ML workloads such as LLM/Multimodal training or
Experience with hardware architecture, performance optimizations, compilers and ML frameworks
Experience working with distributed systems, cloud and
Experience working with microservices deployment, debugging
What we offer:
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