Manager, Software Development

• Deliver incremental value and make technical decisions aligned with strategic objectives
• Utilize prior experience to prevent suboptimal approaches and steer the team toward robust, scalable solutions
• Translate customer and business requirements into comprehensive technical solutions through detailed analysis
• Effectively integrate with legacy frameworks while adopting and implementing modern technologies
• Communicate complex technical and business information clearly and effectively
• Acquire in-depth knowledge of LS-SWIFT product software
• Meet product delivery schedules while ensuring high-quality standards
• Address complex problems requiring thorough analysis of various factors
• Ensure that designs, code, and unit tests are consistent, robust, future-proof, and scalable; identify and implement architectural improvements
• Demonstrate motivation to independently learn and adopt new software technologies
• Provide technical inputs during project estimation and collaboratively develop project plans; regularly update senior management on progress
• Develop expertise regarding key use cases in patterned wafer inspection
• Identify, assess, and mitigate technical risks in partnership with the Product Manager
• Contribute to process improvement initiatives across the organization by proposing and implementing effective solutions
• Collaborate with cross-divisional and cross-functional teams across global locations to deliver optimal software solutions
• Foster a culture of growth and help team members achieve their full potential

• Strong technical problem-solving ability
• Comprehensive understanding of design patterns and programming proficiency in C#, C++, and Python
• Thorough knowledge of architecture patterns
• Solid grasp of open-source and other diverse technologies (web and thick client) with an analytical approach to evaluating the strengths and limitations of different software architectures
• Sound rational decision-making for technical and project-related matters

• Masters or Bachelors degree in Engineering
• Hands-on experience in AI/ML/DL, specifically DL Training infrastructure
• Hands-on experience with AI based productivity tools such as Cursor, Codeium etc.
• UX skills including wireframing, prototyping, and user flow design with industry-standard tools
• Experience in the semiconductor processing/equipment industry or with product companies is preferred
• Outstanding communication, organizational, analytical, leadership, and interpersonal abilities
• Self-motivated and effective as a strong team player
• Solid understanding of high-performance computing and related technologies/tools (including CPU/GPU performance comparison and relevant toolkits) alongside foundational knowledge of machine learning principles

Minimum Qualifications

• Bachelors, Masters or Doctorate in computer science, Math or a related technical field, or equivalent experience
• 10+ years of relevant engineering experience
• 2+ years people management experience preferred