Software Engineering Manager

KLA•Milpitas, CA

2d•$167,400 - $245,533•Onsite

About The Position

We are seeking an experienced and highly motivated Software Engineering Manager to lead the AcuShape Software Engineering team responsible for developing advanced scientific computing solutions used in semiconductor metrology applications. This role combines technical leadership, people management, and program execution to deliver high-quality software that enables next-generation modeling, simulation, and metrology workflows. The ideal candidate has a strong background in C#, C++, .NET, and Windows application development, along with experience managing software engineers working on computationally intensive scientific applications. You will partner closely with Product Management, Algorithms, Applications Engineering, System Engineering, and Customer Support teams to drive product innovation, quality, and execution.

Requirements

Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, Physics, Applied Mathematics, Engineering, or a related technical field.
8+ years of software development experience, including significant experience in C#, C++, and .NET development.
2+ years of engineering leadership or people management experience.
Strong understanding of software architecture, object-oriented design, design patterns, and modern development practices.
Experience delivering complex Windows-based software systems.
Experience working with scientific, engineering, or computationally intensive applications.
Proven ability to lead cross-functional teams and successfully deliver software products.
Excellent communication, collaboration, and stakeholder management skills.

Nice To Haves

Experience in semiconductor metrology, process control, lithography, optical modeling, or related domains.
Experience with scientific modeling, simulation, optimization, or numerical computing applications.
Familiarity with High Performance Computing (HPC), GPU computing, parallel processing, or distributed systems.
Experience leading globally distributed engineering teams.
Experience with WPF, WinUI, or other modern desktop UI frameworks.
Experience with Agile development methodologies and release management processes.
Familiarity with machine learning, AI-assisted development workflows, and modern software engineering productivity tools such as Claude Code, GitHub Copilot, or similar solutions.

Responsibilities

Lead, mentor, and develop a team of software engineers responsible for AcuShape application and platform development.
Foster a culture of technical excellence, innovation, collaboration, accountability, and continuous learning.
Recruit, onboard, and retain top engineering talent.
Conduct performance reviews, career development planning, and regular coaching conversations.
Manage team priorities, workload balancing, and resource allocation across multiple projects.
Guide software architecture, design, implementation, and maintenance of AcuShape applications using C# and C++ on .NET/Windows platforms.
Establish engineering best practices for code quality, testing, security, maintainability, and scalability.
Drive modernization initiatives, including adoption of AI-assisted development tools and automation technologies.
Partner with senior engineers and architects to define technical roadmaps and long-term platform strategies.
Support investigation and resolution of complex customer escalations and performance issues.
Collaborate with Product Management and cross-functional stakeholders to define technical requirements and product roadmaps.
Translate business and customer requirements into executable engineering plans.
Drive predictable execution of software releases, feature development, and sustaining activities.
Monitor project risks, dependencies, schedules, and resource needs to ensure successful delivery.
Support release planning, PLC milestones, and strategic business objectives.
Partner with algorithm and applications teams to implement and optimize computationally intensive scientific workflows.
Drive improvements in application performance, numerical accuracy, scalability, and reliability.
Evaluate opportunities to leverage HPC, parallel computing, GPU acceleration, and cloud-based computing technologies.
Ensure software architecture supports future growth in computational complexity and data volumes.
Work closely with field teams, applications engineers, and customers to understand real-world challenges and requirements.
Support critical customer escalations and drive root-cause analysis efforts.
Collaborate with global engineering teams across multiple geographic locations.
Communicate project status, technical direction, and key decisions to stakeholders and leadership.