Software Engineer 3

Overview

Software Engineer 3 in Lam Research's Global Products Group, designing, developing and maintaining software for etch and deposition equipment, with ownership of component software and the install base.

What you'll do

• Design, develop and maintain LAM standards compliant software.
• Plan, coordinate and execute development activities within small to medium-sized projects.
• Lead and drive projects involving multiple developers from within and other departments, taking complete ownership of component software.
• Maintain the install base by analyzing, debugging and fixing customer issues.
• Participate in customer issues and escalations to provide quick workarounds and long-term fixes.
• Technically review and mentor junior engineers to deliver high quality software on time.
• Interact with peers across teams to carry out day to day activities.
• Initiate and drive continuous improvement projects to improve productivity and reduce cost and cycle time.
• Drive group productivity by monitoring and reporting KPIs and driving actions to address gaps.
• Lead the identification, development and responsible deployment of AI-enabled solutions for software engineering productivity and semiconductor equipment diagnostics, driving AI-assisted engineering practices and collaborating across software, process, hardware, field and support teams, ensuring measurable quality, reliability and safe fallback behaviour.

What you'll need

• Bachelor's degree or master's degree in engineering, preferably Computer Science, Electronics or Information Technology.
• 5 to 8 years of experience.
• Programming knowledge in C, preferably in hardware interfacing.
• Knowledge of RTOS.
• Experience in SDLC, having participated in design, implementation and testing of projects.
• Strong analytical, logical and troubleshooting skills.
• Excellent problem solving and decision-making skills.
• Hands-on experience in complete project development life cycle.
• Exposure to customer management.
• Hands-on experience applying AI-assisted software engineering tools for code generation, code review, unit test creation, defect analysis and technical documentation, with strong validation and secure-use practices.
• Ability to identify and deliver AI-enabled productivity solutions while protecting intellectual property, safety and regulatory compliance.

Nice to have

• Knowledge of OOPS concepts and scripting.
• Experience in the semiconductor equipment manufacturing industry.
• Understanding of distributed systems and socket programming.
• Excellent communication and presentation skills.
• Experience using equipment, sensor, alarm, trace or log data for anomaly detection, predictive diagnostics, root-cause analysis, process monitoring or maintenance optimization in semiconductor manufacturing systems.
• Familiarity with generative AI patterns and agentic workflows for engineering knowledge retrieval.
• Exposure to deploying and monitoring AI solutions in production, including version control and lifecycle governance.

Details

• Location: Bangalore, India.
• Work mode: hybrid. On-site Flex roles work 3+ days per week on-site with the balance remote; Virtual Flex roles work 1-2 days per week on-site and remotely the rest of the time.