Sr. Principal Software Development & MLOps Lead

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Data generated by electric vehicles is rich and diverse with a lot of potential to design, develop, and deploy AI/ML solutions to drive leading innovation and AI product solutions on part with Lucid’s industry leadership and brand expectations.  Lucid’s AI/ML organization is seeking a Sr. Principal Software Development & MLOps Lead focused on software development, DevOps, MLOps, Verification & Validation, and Security.   This position requires applied software development and engineering experience leading architecture, deployment, and management of machine learning (ML) systems with expertise to automate and standardize the ML lifecycle from model training to deployment and monitoring in production. 

In this role, you will be responsible for enabling software and product development with key responsibilities including designing automated ML pipelines, implementing monitoring for model performance and data drift, optimizing resources and utilization, managing software and model versions, and ensuring infrastructure security and scalability.

How We Work: We balance hard work and innovation through meaningful, in-office calibration. Please note, this role is based out of Newark, CA or select remote work options. 

You Will:

• Lead the creation and execution of Lucid’s development and deployment of complex and innovative software development and engineering for AI enablement and Machine Learning (ML) lifecycle solutions while ensuring scalability, efficiency, security, and robustness.
• Report to Lucid’s CAIO and engage with key stakeholders to ensure alignment on the software engineering and software development lifecycle accelerations using AI tools and systems.
• Engage broadly within the organization to identify and prioritize requirements and align high-value AI/ML initiatives with business objectives.
• Define KPIs for evaluating the success of AI software enhancement products and developer enablement based on business impact and feasibility.
• Deploy and maintain hardware infrastructure for on-premises AI development and usage.
• Architect and develop AI/ML and data pipeline solutions using local and cloud services such as MS Azure, AWC, GCP.
• Utilize docker and Kubernetes for packaging and load balancing AI applications
• Setup and deploy tool servers for Agentic AI prototypes and production solutions.
• Design software interfaces for integrating AI with hardware in the loop (HIL) and simulation environments e.g. REST endpoints
• Maintain Agile planning and software development lifecycle (SDLC) with efficient code management practices.
• Collaborate with Data Science, Data Engineering, Cloud, Infrastructure and Commercial Teams to effectively execute the end-to-end AI product development lifecycle for secure, robust, and innovative AI product deployments for in-vehicle, SaaS, and enterprise AI applications.
• Keep effective communication with team members and stakeholders to ensure user and technical issues are promptly prioritized and resolved.
• Stay informed on emerging AI technologies, tools, and methodologies to inform product strategies and roadmaps.

You Bring: 

• Bachelor’s Degree in Computer Science, Electrical Engineering, or related STEM field with 12+ years of software development and engineering experience
• Strong knowledge and proficiency in Python, ML Frameworks such as PyTorch, Hugging Face, etc.
• Direct experience leading and deploying large-scale machine learning models with a focus in Generative AI, LLMs, Retrieval Augmented Generation (RAG), and agentic systems.
• Proven track record of leading software development projects from design to implementation through scaling and maintenance.
• Highly technical with a solid understanding of AI-IDE technologies, frameworks, and use cases with a deep understanding of software development f