Senior Engineering Manager leading Automation and AI Team for General Motors. Driving innovative solutions and managing team capabilities to optimize engineering tools and systems.
Responsibilities
People leadership, manage established teams with the optimal mix of talent and experience.
Makes internal and external staffing decisions, supports, and guides individual development of direct reports and their teams, drives performance to deliverables.
Execution leadership, manage established teams focused on AI, data analytics, simulation, and automation frameworks for hardware, software, and system design and development.
Develop the vision, product roadmap, and execution plan for the team, working closely with other parts of the organization to ensure strategic alignment focusing on 4 critical pillars: Cloud Infrastructure, Deployment Automation Pipeline, AI Agent Development, Anomaly Detection.
Set priorities, remove roadblocks, and communicate impacts.
Foster a culture of innovation by prototyping new data-driven solutions that align with evolving goals and future-proof technology stacks.
Proactively engaged in the team’s day-to-day work and allocate team tasks reasonably according to project objectives and ensuring delivery according to milestones.
Provides technical leadership to working team.
Interacts and collaborates with many teams cross-functionally.
Leads team on new methods or initiatives without defined procedures.
Develop team’s capabilities and provide mentorship to team members.
Insures employees complete all mandatory GM training and any specific training related to functional responsibility.
Understands & supports employee's career development goals.
Develops and executes initiatives to improve work team capability and increase work team capacity.
Develop and manage the team’s travel, training, and indirect budget.
Keep abreast with industry landscape and tools used in AI and data science to ensure we are using state-of-the-art tools.
Participate in regular process improvement, management forums, and transformational initiatives.
Reviews and approves employee work and overtime schedules, expenses, and other work-related data.
Reviews deliverables and provides candid & constructive feedback.
Conducts performance interventions when necessary.
Oversee the use of data analytics and signal processing to analyze simulation output data using techniques such as wavelet transforms and motif discovery.
Guide the development of custom feature extraction methods for predictive modeling to be utilized in optimizations.
Implement statistical methods, anomaly detection, and clustering to uncover patterns within large-scale data sets.
Collaborate with team experts to incorporate physical interpretations of insights and create interactive data visualizations for effective communication.
Drive the building of machine learning models that can serve as surrogates in simulations.
Requirements
Bachelor’s degree in software engineering, Computer Engineering, Computer Science, or equivalent majors required.
Masters Degree preferred.
10+ years of hands-on experience in software or tools development.
5+ years of people management experience.
Strong communication, collaboration, and interpersonal skills and ability to work effectively cross functionally.
Strong team management and people development skills.
Experience with Automotive SW development process.
Knowledge of Full-Stack AI Deployment (e.g. scalable ML pipelines (MLOps) using Docker, Kubernetes, FastAPI, cloud services, or other modern toolsets).
Benefits
Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
Healthcare, dental and vision benefits including health care spending account and wellness incentive.
Life insurance plans to cover you and your family.
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
GM Vehicle Purchase Plan for you, your family, and friends.
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