Software Engineering Manager

As a Software Manager in this group, you will build and lead a team of smart software engineers to help our wafer inspection products to achieve the next level of performance through superior technology and the latest in software practices and machine learning. You will bring your proven experience in leading a team of engineers to conceive, design, and deploy robust/scalable software for high-volume production and real-time applications. Need to lead the change to bring in the next generation SW architecture (in possibly newer tech stack) along with supporting the existing set of features done with the current SW tech stack With respect to the value add for the position offered, expect you to

Responsibilities:

• Drive incremental value and make technical decisions that support strategic objectives.
• Leverage prior experience to advise against suboptimal approaches and one-time hacks, quickly pushing the team towards generic and robust solutions.
• Transform customer and business requirements into scalable and complete technical solutions backed by deep analysis in understanding.
• Easily work with legacy frameworks while embracing and implementing modern technologies and frameworks.
• Communicate effectively on technical and business topics.
• Acquire and demonstrate technical knowledge of LS-SWIFT product software.
• Meet product timelines with good-quality software.
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors.
• Ensuring that detailed designs, code, and unit tests are consistent, robust, future-proof, and scalable.
• Understand and make design and architectural improvements on existing software.
• Motivated to learn newer software technologies independently.
• Providing technical expertise to the estimation process.
• Co-create a project plan with peers and update higher management regularly on the progress.
• Acquire knowledge of key use cases in patterned wafer inspection.
• In conjunction with the product manager, identify, highlight, review, and mitigate technical risks.
• Contribute to the continued improvement of the organization's development procedures by looking for opportunities for improvement and proposing ideas for solutions.
• Collaborate with cross-divisional and cross-functional teams across geographical zones to develop / deliver software solutions.
• Passion for building and nurturing team members and helping them realize their full potential.

Requirements:

• Good technical problem-solving skills.
• Strong understanding of design patterns and programming skills using the high-level languagesC#, C++, and Python.
• Strong knowledge of architecture patterns.
• Good knowledge of open-source software and varied technologies (web and thick client) and a good understanding of the strengths and weaknesses of software architectures of these technologies.
• Rational thinking in arriving at a decision (technical or project-related).
• Bachelor's, master's, or doctorate in computer science, math, or a related technical field, or equivalent experience.
• 10+ years of relevant engineering experience.
• 2+ years of people management experience preferred.

Preferred Qualifications:

• Master's or Bachelor's in Engineering
• UX skills: wireframing, prototyping, user flows using some well-known tools
• Preferred work experience in semiconductor processing/equipment industry or product companies
• Must have excellent communication, organizational, analytical, leadership, and interpersonal skills
• Must be self-driven and a strong team player
• Good understanding of high-performance computing and related technologies/aids (CPU, GPU
• performance comparison and related toolkits along with Machine learning basics

Preferred Qualifications:

• Master's or bachelor's in engineering.
• UX skillswireframing, prototyping, and user flows using some well-known tools.
• Preferred work experience in semiconductor processing/equipment industries or product companies.
• Must have excellent communication, organizational, analytical, leadership, and interpersonal skills.
• Must be self-driven and a strong team player.
• Good understanding of high-performance computing and related technologies/aids (CPU, GPU performance comparison, and related toolkits) along with machine learning basics.