Job Description
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About The Role We are seeking a hands-on Process / Quality Engineer to drive manufacturing excellence, product quality, and continuous improvement across our electro-mechanical production environment. This role sits at the intersection of engineering, manufacturing, and supplier quality, ensuring that products meet technical specifications, regulatory standards, and customer expectations from development through production. You will play a critical role in new product introduction (NPI), yield improvement, and root cause analysis, while helping build scalable processes and quality systems that support growth. Key Responsibilities Quality & Compliance Ensure compliance with engineering specifications, technical drawings, and applicable regulatory standards Develop and maintain quality documentation including SOPs, inspection plans, and control standards Own product quality metrics, reporting, and statistical analysis to drive data-based decision making Review and approve quality documentation and ensure proper document control processes Manufacturing & Process Engineering Lead DFM (Design for Manufacturing) reviews between Engineering and Contract Manufacturers Provide hands-on support for manufacturing floor troubleshooting and process optimization Develop and maintain manufacturing processes to improve efficiency, repeatability, and yield Build and manage databases to track production performance and quality trends Continuous Improvement Lead or support yield improvement initiatives using data analysis and root cause methodologies Participate in Kaizen events and Six Sigma projects to drive operational excellence Identify process gaps and implement corrective and preventive actions (CAPA) Supplier & Cross-Functional Collaboration Partner with suppliers and contract manufacturers to drive quality improvements Monitor and manage corrective actions with internal teams and external partners Collaborate with engineering, operations, and customer-facing teams to resolve product issues New Product Introduction (NPI) Support new product launches, ensuring readiness of manufacturing and quality processes Define inspection and validation criteria for new products Act as a key stakeholder in cross-functional NPI execution Customer & Field Support Investigate field and customer-reported issues and drive resolution Communicate effectively with internal teams, customers, and stakeholders on quality matters Make shipment decisions (e.g., hold/release) in accordance with established procedures Required Qualifications Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, or related field 5–7+ years of experience in electro-mechanical manufacturing environments Strong hands-on experience in process troubleshooting and quality engineering Experience with statistical analysis, yield improvement, and root cause methodologies Familiarity with quality systems, inspection standards, and documentation practices Strong cross-functional collaboration and communication skills Preferred Qualifications Experience with Six Sigma, Lean Manufacturing, or Kaizen methodologies Experience working with contract manufacturers and global suppliers Knowledge of NPI processes and scaling manufacturing operations Familiarity with quality tools such as SPC, FMEA, CAPA, 8D, etc. Experience building or managing data systems for manufacturing analytics Why This Role Matters This role directly impacts product quality, customer satisfaction, and manufacturing scalability. You’ll be a key driver in building robust syst