Software & AI Platform Engineer

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Description

The Automation & Analytics team is seeking a highly motivated Software & AI Platform Engineer to help drive the next generation of intelligent factory solutions. In this role, you will contribute to the design, development, and evolution of in-house digital platforms that power automation, analytics, and AI-driven operations across semiconductor manufacturing environments.

Beyond traditional software and data engineering, this role focuses on enabling AI capabilities within operational platforms, including intelligent agents, real-time analytics, workflow automation, computer vision, and AI-assisted decision support. You will work closely with cross-functional engineering, manufacturing, automation, and operations teams to build scalable systems that support the Factory of the Future vision.

This position is ideal for individuals passionate about software engineering, AI systems, industrial digitalization, and building impactful technologies that bridge manufacturing operations with advanced analytics and generative AI.

Essential Duties And Responsibilities

• Design, develop, and maintain scalable software platforms supporting factory automation, analytics, and AI applications.
• Build and optimize data pipelines, APIs, and backend services for structured and unstructured manufacturing data.
• Contribute to the integration of AI capabilities into operational platforms, including machine learning, generative AI, intelligent agents, and workflow automation.
• Collaborate with cross-functional stakeholders including engineering, manufacturing, automation, IT, and operations teams to deliver end-to-end digital solutions.
• Develop solutions that support real-time data processing, event-driven architectures, and streaming analytics environments.
• Participate in the development of AI-enabled applications such as conversational assistants, recommendation systems, anomaly detection, computer vision, or predictive analytics solutions.
• Ensure system reliability, scalability, data quality, and security through monitoring, testing, and documentation.
• Support platform interoperability through APIs, microservices, and integration frameworks.
• Contribute to software architecture discussions, technical roadmaps, and continuous improvement initiatives.
• Stay current with emerging technologies in AI, cloud-native systems, industrial automation, and software engineering best practices.
  
  

Required

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
• Minimum 8 years of experience in software engineering, platform engineering, data engineering, or related technical roles. Strong programming skills in Python, C#, JavaScript, or similar modern development languages.
• Experience in backend application development, APIs, and database technologies (SQL/NoSQL).
• Familiarity with software engineering best practices including version control (Git), CI/CD, testing, and collaborative development workflows. Understanding of data pipelines, ETL processes, or distributed data systems.
• Knowledge of manufacturing systems, industrial automation, IoT integration, or semiconductor operations is advantageous. Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in fast-paced, cross-functional environments.
  
  

Preferred

• Experience with AI/ML frameworks and libraries such as PyTorch, TensorFlow, LangChain, or similar technologies. Familiarity with generative AI, LLM applications, agentic workflows, or AI orchestration frameworks.
• Experience with real-time streaming platforms such as Kafka or Spark. Exposure to MLOps, model deployment, monitoring, or AI lifecycle management.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with microservices architectures and event-driven systems. Experience in computer vision, intelligent automation, or industrial AI applications is a plus.
• Agile development experience and ability to adapt to evolving technology roadmaps.
  
  

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [HIDDEN TEXT] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.