Software Engineering Manager, Cloud AI/ML Infrastructure

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  
• Develop the mid-term technical goal and roadmap within the scope of your team. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Design, guide, and vet systems designs within the scope of the broader area, and partner closely with cross-functional, cross-regional teams to ensure our AI/ML infrastructure delivers exceptional value and drives success for our customers.
• Lead the design and development of tools and software for our AI/ML Infrastructure to deliver end-to-end developer experience.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience with Generative AI, Large Language Models (LLMs), or Machine Learning infrastructure, including model deployment, performance optimization, profiling, and debugging.
• Experience with distributed computing leveraging Graphics Processing Units (GPUs) or Tensor Processing Units (TPUs).
• Ability to solve ambiguous problems, and grow in a dynamic, changing environment where AI technologies are continuously advancing.

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.