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The AI Software Engineer will build machine learning workflows and infrastructure to productize AI models, including preparing data for ML models, creating inference interfaces, and enabling ML Ops for continuous delivery and automation of ML pipelines.

As a Distributed Systems Engineer/Architect, you will develop solutions for AI and machine learning, focusing on distributed systems to gather and analyze data across multiple nodes. Collaborating with a diverse team, you'll address customer challenges and innovate within the memory industry.

As a Software Engineer, you will work on enhancing usability, security, and connectivity through innovative software solutions while delivering and scaling edge software. You will focus on problem-solving and product design to benefit end users across various environments.

The AI Solutions Field Engineer will develop and execute strategic sales plans targeting potential customers in healthcare, manufacturing, and power and energy sectors, collaborating with internal teams and OEMs to enhance market reach and customer satisfaction, while presenting AI solutions to decision-makers.

The SSD Media Development Engineer will work with the Media team at Solidigm, focusing on SSD firmware development, media algorithm design and validation, and large scale data analysis for troubleshooting. Responsibilities include media qualification and collaboration with global teams.

The Product and Eco-system Marketing Manager oversees the entire lifecycle of a specific product swimlane, including market positioning, customer integration, and sales support. This role includes competitive analysis, strategic planning, and creating marketing materials, while acting as a key resource to the sales team and engineering department to understand market and technical needs.

The AI Technologist at Solidigm oversees technical expertise in server platforms, focusing on the integration of hardware and software for AI and HPC infrastructure. This involves guiding customers in setting up and tuning systems, understanding data center interdependencies, and ensuring software best practices inform product strategies to promote customer adoption.