Technical Marketing Engineer - ML Development and Solutions

Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.

Solidigm’s Technical Marketing Engineering (TME) team is expanding our AI enablement efforts to transform how we build, manage, and deliver technical content, tools, and workflows across the product lifecycle. We are seeking a hands-on ML Software Engineer with expertise in Large Language Models (LLMs), agent-based systems and custom model training. In this role, you will own the end-to-end full stack solutions to prototype, implement and refine workflows that support TME deliverables, internal tools and systems. This role offers ownership of high-impact ML initiatives shaping Solidigm’s AI transformation and strategy, customer experience, and internal engineering productivity, while building deep expertise in next-generation datacenter storage and memory technologies and collaborating with world-class engineers and marketing leaders.

Key Responsibilities

• LLM Engineering & Model Development
  • Architect, design, and implement LLM-driven systems for domain-specific technical challenges
  • Develop and optimize prompt strategies for accuracy, consistency, and performance
  • Fine-tune, benchmark, and deploy proprietary and open-source LLMs for enterprise workflows
  • Design and build scalable, secure and self-hosted AI solutions
• Agent & Tooling Development
  • Build AI-assisted tools that improve TME workflows, including document generation, content search, summarization, and knowledge access
  • Develop autonomous and semi-autonomous agents capable of multi-step reasoning
  • Design and deploy agents that plan tasks, use tools reliably, and adapt within defined constraints
  • Integrate external APIs, internal systems, and custom utilities into agent architectures
  • Develop dashboards, workflow tools, and automations using modern front-end frameworks
  • Implement feedback loops and usage analytics to guide iterative UX and model improvements
• Cross-Functional Collaboration
  • Partner with IT and enterprise data platform teams to ensure security, governance, and compliance
  • Collaborate across engineering, marketing, and operations to gather requirements and build scalable solutions
  • Document architectures, design decisions, and best practices for long-term knowledge sharing
  • Translate ambiguous problems into working proofs of concept and iterate with stakeholder feedback
  • Stay current with emerging AI techniques and mentor and influence the broader organization

• Education
  • Master’s degree in Computer Science, Machine Learning, Computer Engineering, Data Science, Software Engineering, or related field (PhD preferred)
• Core LLM & Generative AI Expertise
  • Hands-on experience deploying, and adapting open-source LLMs (e.g. Llama, Qwen, Mistral) for on-prem solutions as well as integrating API based cloud services. Demonstrated through projects, coursework, internships, or open-source contributions.
  • Proven experience designing and deploying LLM-based applications
  • Strong command of advanced prompt engineering techniques (few-shot, chain-of-thought, system prompts)
  • Solid understanding of tokenization, inference optimization, and context window management
  •  Familiarity with RAG systems, embeddings, and vector database
• Agents, Frameworks, and ML Tooling
  • Experience building or fine-tuning agents using frameworks such as Dataiku, TensorFlow, or PyTorch
  • Familiarity with modern agent architectures (ReAct, tool use, memory systems, long-horizon planning)
  • Experience with frameworks and libraries such as LangChain, LlamaIndex, or Hugging Face
  • Understanding of GPU utilization and optimization for ML workloads
• Software Engineering
  • Strong programming skills in Python (or similar), with production-quality coding practices
  • Understanding of core software development practices (Git, testing, code reviews, documentation, and CI pipelines)
  • Experience with Docker and cloud platforms (AWS, Azure, GCP)
  • Ability to build robust ML/AI pipelines, data processing workflows, or automation scripts
  • Ability to translate complex ML capabilities into polished, intuitive user experiences
  • Interest in applied AI for engineering productivity and real‑world impact, rather than purely academic research
  • Exposure to enterprise or infrastructure technologies (e.g., storage, networking, systems) is a plus

• Collaboration:
  • Strong problem-solving skills and comfort working in ambiguous technical domains
  • Self-directed, iterative, and highly collaborative and growth mindset
  • Excellent communication and collaboration skills

The compensation range for this role is $105,440 - $164,800. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.

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