Company Description

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.

Job Description

We are seeking a highly skilled and innovative Deep Learning Engineer with hands-on experience in developing and deploying Large Language Models (LLMs) for software and firmware engineering tasks. The ideal candidate will have a strong background in deep learning and natural language processing (NLP), particularly in the application of LLMs for tasks such as firmware code generation, test case automation, chatbot development, documentation generation, and UML diagram creation.

Key Responsibilities:

• Design, fine-tune, and deploy LLMs for automated firmware code generation based on natural language and specification inputs.

• Develop intelligent systems for automated test case generation, validation, and simulation using LLMs.

• Implement and maintain chatbots powered by LLMs to support developer workflows and customer interactions.

• Automate code documentation generation and ensure it stays synchronized with code updates using LLM-based tools.

• Generate UML diagrams and flowcharts from natural language or source code using transformer-based models.

• Collaborate with software, firmware, and QA teams to understand requirements and integrate AI solutions into the development pipeline.

• Continuously evaluate and improve model performance, robustness, and usability in production environments.

• Stay updated with state-of-the-art research in LLMs, multimodal learning, and software engineering automation.

Qualifications

Required Qualifications:

• Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, or related fields.

• 3+ years of experience in deep learning, with a focus on NLP and transformer-based architectures.

• Proven experience with LLMs (e.g., GPT, LLaMA, Mistral) applied to code generation, software automation, or developer tooling.

• Strong coding skills in Python, with proficiency in frameworks like PyTorch, TensorFlow, and Hugging Face Transformers.

• Familiarity with software development workflows, version control (e.g., Git), and documentation practices.

• Experience working with firmware or embedded systems is a strong plus.

• Ability to create tools or pipelines that convert natural language to working code, UML, or test cases.

Preferred Skills:

• Experience fine-tuning LLMs on domain-specific corpora.

• Familiarity with tools like LangChain, OpenAI API, or Codex for code-related NLP tasks.

• Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG) techniques.

• Experience integrating AI models into CI/CD pipelines or development environments like VSCode.

Additional Information

For California, Colorado, New York, Washington, and remote roles: The compensation range for this role is $154,450 - $234,770. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location. 

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