Responsibilities
- Own the design, development, testing, deployment, and operation of manufacturing AI software products.
- Be responsible for ensuring the quality of architecture and operational excellence and delivering the best results on time.
- Take responsibility for end-to-end development with high standards in all aspects of software design, coding, code reviews, tests, DevOps to process improvements, and team building.
- Lead a team of strong software engineers with varying levels of seniority, providing mentorship and career growth opportunities.
- Provide technical direction to the team and influence the technical direction of stakeholder teams, establishing and executing short and long-term architectural roadmaps.
- Advise and consult with software and AI engineers on design and architecture, demonstrating part team leadership, part technical leadership, and part hands-on.
- Play a key role in planning, designing, and delivering multiple AI software product lines, partnering with product managers and TPMs.
- Collaborate with interdisciplinary, diverse, and geographically dispersed teams.
- Be the spokesperson for the software engineering team internally and, sometimes, to our customers, supporting customer and account management activities.
- Hire and mentor software/system engineers and actively participate in developing their careers.
Key Qualifications
- BS/MS degree in Computer Science and Engineering or related domain.
- 10+ years of industry experience in building/deploying large-scale production systems.
- 1+ years of managing engineering teams, working through multiple levels from mentoring junior engineers to influencing technical leadership.
- Excellent project management skills, including experience with Agile methodologies and practices.
- Knowledge of engineering practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Development experience in a cloud service environment such as Amazon AWS, MS Azure, and Google Cloud Platform, as well as on-premise Kubernetes clusters in highly secure environments.
- Hands-on experience programming in Python, Java, C++, Go, Rust, or other programming languages.
- Ability to anticipate problems, identify risks, see around corners, and scope large projects.
- Ability to translate informal customer requirements into technical problem definitions, dealing with ambiguity and competing objectives.
- Experience partnering with product or program management teams.
Preferred Qualifications
- Experience communicating with users, other technical teams, and senior leadership to collect requirements and describe software product features, technical designs, and product strategy.
- Experience managing multiple concurrent programs, projects, and development teams in an Agile environment
- Project management experience working with cross-functional teams in multiple geographic locations.
- Experience in recruiting, hiring, mentoring/coaching, and managing teams of software engineers to improve their skills and make them more effective product software engineers.
- Excellent written and verbal communication skills with the ability to present complex technical information clearly and concisely to various audiences.
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