Principal Software Engineer, Manufacturing Intelligence

• Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams
• Teaching & Mentorship: You will serve as a technical mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills
• Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering
• Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines
• Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics
• Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization

• At least 8 years of experience in software engineering or similar technical roles
• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science or a related field is preferred and may substitute for some years of experience
• Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing as well as experience improving a team’s use of these practices
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (Docker and Kubernetes)
• Experience designing, building, and managing distributed computing systems
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
• Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively
• Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors
• Must be a US Citizen or Green Card holder (ITAR)

Previous knowledge of manufacturing or ML

• 401(k) match
• medical, dental and vision insurance
• life and disability insurance
• generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
• EAP, other wellbeing resources