Sr. Manager, AI/ML & Software Development

Lucid Motors•Austin, TX

5h•Hybrid

About The Position

At Lucid, we aim to introduce captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence, defining 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 is in service of the individual and environment. We provide a community for innovators who want to make an immediate and significant impact and are driven to create a better, more sustainable future. Data generated by electric vehicles is rich and diverse, creating significant opportunities to design, develop, and deploy AI and machine learning solutions that drive innovation aligned with Lucid’s industry leadership and brand expectations. Lucid’s AI and ML organization is seeking a Sr. Manager, AI/ML & Software Development to lead teams delivering scalable, secure, and production-ready AI software systems across product, enterprise, and platform use cases. This role focuses on people leadership, execution excellence, and cross-functional delivery, with responsibility for guiding AI/ML software engineering teams through the full lifecycle from design to production deployment.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related STEM field
8+ years of experience in software engineering, AI/ML systems, or related technical domains
3+ years of experience leading and managing engineering teams
Strong background in Python-based software development and modern ML frameworks such as PyTorch and Hugging Face
Hands-on experience delivering production AI/ML systems, including generative AI, LLM-enabled applications, and data-driven services
Demonstrated ability to balance technical depth with people management and execution leadership
Experience operating in Agile environments, including planning, backlog management, and KPI tracking
Strong communication skills, with the ability to explain complex technical topics to non-technical stakeholders
Proven ability to collaborate across organizational boundaries and influence without authority

Nice To Haves

Experience in automotive, EV technology, manufacturing systems, or connected device ecosystems
Familiarity with cloud platforms such as Azure, AWS, or GCP
Exposure to MLOps, data pipelines, or AI platform enablement initiatives

Responsibilities

Lead and manage teams responsible for AI/ML software development, including backend services, ML-enabled applications, and supporting infrastructure
Own delivery execution for AI/ML software initiatives, ensuring projects meet quality, security, scalability, and timeline expectations
Report to the CAIO and be a leader within the AI organization to enable product leaders, data science, platform, cloud, and infrastructure teams to align technical execution with business priorities
Translate strategic AI initiatives into well-scoped engineering plans, roadmaps, and deliverables
Establish and track KPIs for software and AI/ML delivery effectiveness, reliability, and business impact
Drive best practices in software engineering, ML system design, CI/CD, testing, monitoring, and operational readiness
Support deployment and operation of AI/ML systems across cloud and on-prem environments
Ensure adherence to secure development practices, compliance requirements, and governance standards
Coach, mentor, and grow engineers and technical leads, fostering a culture of accountability, collaboration, and continuous improvement
Communicate effectively with stakeholders at multiple levels, escalating risks and aligning expectations proactively