About The Role 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. Responsibilities * 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 efficiently. * Automation of workflows, testbed setups and building tools to monitor/debug. * Implement creative ways to break Cerebras software and identify potential problems. * Contribute to developing SW specifications with a focus on ML products. * Drive quality of various software and hardware components of Cerebras AI platform to ensure accuracy, performance and usability of ML training and inference workloads. * Ability to work in a fast-paced environment and make the necessary prioritizations and judgements which affects productivity at a company level. * Define and implement quality metrics to measure product and process quality, provide actionable insights and recommendations to drive continuous improvement. * 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 mindset. Skills And Qualifications * 5+ 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 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 skills. * Strong organizational skills, teamwork, and can-do attitude. * Clear and detailed documentation skills. * Experience working with geographically dispersed teams across time zones. Preferred Skills And Qualification * 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. Location * This role follows a hybrid schedule, requiring in-office presence 3 days per week. Please note, fully remote is not an option. * Office locations: Sunnyvale, Toronto.