Title: Software Engineer Apps III Location: Fremont United States Job Description: The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes. The impact you’ll make Join our team as a software engineer to build the Dextro Software platform. Dextro™ - Lam Research. You will be at the forefront of defining and developing the infrastructure that will make Dextro successful. In this role, you will develop designs, infrastructure, and technology platforms alongside a team of software engineers. You will also collaborate with mechanical, electrical, and mechatronics teams to design, test, and troubleshoot special-application end effectors on a 6-axis robot. Hands-on development and prototyping are essential for success. You’ll make an impact across Lam’s product portfolio by working within our centralized software engineering team and collaborating with some of the brightest minds in the industry. What you’ll do - Maintain and enhance the existing codebase by investigating and resolving issues. - Demonstrate solutions through clear documentation, flowcharts, and well-structured code. - Collaborate with cross-functional teams to design and develop software. - Extend the Dextro Platform (ROS 2). - Build out support for 6-axis cobots. - Create and update HMI systems. - Design a learning pipeline for computer vision algorithms. - Integrate sensors and actuators into robotic systems; analyze and optimize system performance and accuracy. - Apply engineering theories and methods to solve technical problems. - Work within a cross-functional team and support design, analysis, and performance evaluation from concept through completion. - May visit customer sites to provide support; travel is expected to be less than 10%. Who we’re looking for - Bachelor’s degree in Computer Science, Computer Engineering, or Mechatronics plus 3+ years of experience; or a Master’s degree (or higher) with no prior professional experience; or equivalent experience. - Knowledge of object-oriented software concepts (OOS), object-oriented design (OOD), and/or object-oriented programming (OOP), including design patterns and finite state machines. - Software development skills in one or more general-purpose programming languages (e.g., C++, C#). Preferred qualifications - Prior semiconductor equipment experience. - Experience with multi-arm and/or multi-axis robotic programming - Experience with Python and/or C++. - Experience with ROS/ROS2 or other robotics middleware and Behavior Trees - Familiarity with Git and SVN, and with CI/CD pipelines - Proficient in Linux Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time. #LI-LE1 Salary CA San Francisco Bay Area Salary Range for this position: $99,000.00 - $220,000.00. The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors. Our Perks and Benefits At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Implement solutions from coding to testing, develop new features, maintain existing applications, and actively participate in all development phases while troubleshooting production issues throughout the complete development cycle.

Job descriptions may display in multiple languages based on your language selection. What we offer: At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary: Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That's what we're passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics. Job Responsibilities:• Design and scale Elasticsearch clusters for ADAS data (camera/radar/lidar logs, events, metadata).• Build robust indexing pipelines for high volume vehicle telemetry and perception outputs.• Optimize search queries, mappings, analyzers, sharding, and storage for low-latency retrieval.• Develop data ingestion flows using Logstash, Beats, Kafka, Spark, or custom ETL pipelines.• Implement monitoring, alerting, and performance dashboards (Kibana/Grafana).• Ensure reliability, HA/DR, and security compliance across clusters.• Collaborate with ML, data engineering, and ADAS perception teams on data discovery and retrieval needs.• Partner with System Verification, Perception/ML, and Tools teams to capture search use cases and define query SLAs.• Support data consumers with dashboards, saved searches, alerts, and APIs; evangelize best practices.• Mentor engineers on schema design, ES DSL, and performance tuning. Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team. Worker Type: Regular / Permanent Group: Magna Electronics

• Desarrollo de funcionalidades backend con Java / Spring Boot • Colaboración en el desarrollo de interfaces con React.js • Implementación de tareas asignadas según backlog del sprint • Desarrollo y mantenimiento de código alineado a estándares • Realización de pruebas unitarias • Soporte en la resolución de defectos • Documentación de funcionalidades desarrolladas • Participación en integraciones y pruebas del sistema • Participación en ceremonias ágiles (daily, planning, review, retrospectiva) • Escalamiento de bloqueos al equipo