Principal TLM - ML Data Infrastructure

Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
We are seeking a highly skilled and experienced Principal TLM (Technical Lead Manager) to lead the development and optimization of our Machine Learning (ML) Data Infrastructure. This role is crucial for enabling cutting-edge AI solutions and driving data-driven innovation across General Motors.
What You'll Do:
* Lead and manage a team of engineers in the design, development, and maintenance of scalable and robust ML data infrastructure, ensuring high performance, reliability, and security.
* Define and implement architectural patterns and best practices for data ingestion, processing, storage, and access within the ML ecosystem, utilizing Agile Methodology.
* Collaborate with ML engineers, data scientists, data platform engineers, and product teams to understand data requirements and translate them into technical specifications for the data infrastructure.
* Conduct in-depth analysis of existing systems, identifying bottlenecks and opportunities for improvement in data pipelines and analytical platforms.
* Utilize strong understanding of data pipeline development and existing and upcoming technologies to design efficient data flows and system architectures.
* Oversee the evaluation and integration of new technologies and tools to enhance the ML data infrastructure capabilities.
* Provide technical guidance and mentorship to junior engineers, fostering a culture of innovation and continuous learning.
* Work with relevant partners to ensure compliance with data governance policies, security standards, and regulatory requirements.
* Participate in strategic planning and road mapping for the ML data infrastructure, aligning with overall company objectives.
* Proactively identify and address potential issues, demonstrating a Detail-Oriented approach to problem-solving.
* Utilize Qualitative Research to understand user needs and inform infrastructure development.
Your Skills & Abilities:
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* 10+ years of experience in data engineering, software development, or a related field with a focus on Machine Learning (ML) data infrastructure.
* Proven experience in leading and managing technical teams.
* Deep expertise in designing, building, and operating large-scale data systems and Analytical Platforms.
* Proficiency in multiple Computer Languages relevant to data engineering (e.g., Python, Scala, Java).
* Strong understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their data requirements.
* Demonstrated ability in Determining System Requirements and translating them into technical solutions.
* Solid understanding of Agile Methodology and experience working in an agile environment.
* Excellent analytical, problem-solving, and communication skills.
* Highly Detail-Oriented with a commitment to quality and accuracy.
Preferred Qualifications:
* Previous experience in Robotics or Autonomous Driving.
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $275,000 to $348,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Relocation: This job may be eligible for relocation benefits.
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