Solidigm
Principal AI Workflow Engineer
Rancho Cordova, CA, United States · Principal
Sponsorship not specified$196k-$314kDetected 22 days ago
C++Vector DatabasesCI/CDDevOpsMachine LearningLLMsRAGAgentic AIMLOpsEmbedded SystemsHardware DesignManual TestingResearchLeadershipCommunicationMentoring
About the role
- 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.
- 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.
Responsibilities
- Prototype, validate, and scale AI tools and workflows for code generation, review, testing, bug triage, and documentation in firmware engineering.
- Design and deploy agentic AI, RAG systems, and domain-specific LLM pipelines using firmware knowledge and defect data.
- Build AI-assisted tooling across CI/CD, IDEs, and build systems to improve quality, reduce review time, and accelerate development cycles.
- Partner across AI Platform, Security, Legal, IT, DevOps, and executive leadership to define success metrics and ensure secure, compliant AI adoption.
- Architect secure, scalable AI infrastructure and build external partnerships with vendors and research institutions to advance AI-driven firmware engineering.
Requirements
- 10+ years of software or embedded engineering experience, with deep expertise in C/C++ development for embedded systems, RTOS environments, or storage firmware.
- Experience designing AI-assisted developer tooling (code generation, review automation, test synthesis) that integrates with existing CI/CD and engineering workflows.
- Strong technical communication skills with the ability to influence senior engineering leaders and translate complex AI capabilities into pragmatic engineering strategies.
- Candidates must possess the below minimum qualifications to be initially considered for this position.
Nice to have
- Background in storage technology, SSD firmware, NAND flash systems, or semiconductor engineering environments.
- Experience with MLOps platforms and AI infrastructure (e.g., model serving, evaluation pipelines, vector databases, LLM gateways).
- Contributions to open-source AI or firmware engineering projects, or publications in relevant technical communities.
- Experience with advanced prompt engineering patterns, multi-agent system design, or LLM-based software engineering research (SWE-bench, etc.).
- The compensation range for this role is $196,240 - $314,000.
- are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Compensation
- $196k-$314k
Benefits
- Identify high-value AI use cases across the firmware lifecycle, including simulation, modeling, regression testing, coverage analysis, and validation automation.
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This listing is sourced directly from Solidigm's careers page and normalized into a canonical job model.