Hardware interaction: Assess hardware compatibility and influence hardware design where appropriate.
Documentation: Document solutions with clear code, flowcharts, and technical documentation.
Strategic improvement: Critically review current and past software development work, and recommend immediate fixes and longer-term strategic improvements.
Solution evaluation: Evaluate multiple approaches to field problems and recommend the best course of action.
Customer engagement: Work directly with customers on requirements analysis, system architecture, model solution design and system integration. Provide solutions to firmware issues and information required for field support.
Cross-functional collaboration: Work effectively with process, hardware, and other internal teams to confirm the feasibility of software and hardware requirements.
Compliance: Follow company policies and guidelines for software development and testing.
Occasional travel within the USA, Europe, and Asia; up to approximately 10% of the time, as business needs require.
Who we’re looking for
Master's degree in Computer Science, Computer Engineering, Electronics engineering or a related field with 12+ years of relevant experience; or Ph.D. with 8+ years of experience.
Strong understanding of software architecture, multithreading/concurrency, networking, distributed systems, APIs, data structures, algorithms, and system debugging.
Design and development.
Experience with Git, CI/CD, automated testing, debugging, profiling, and software release processes.
Experience developing or integrating software with hardware, sensors, industrial/semiconductor equipment, embedded systems, or edge-compute platforms.
Strong knowledge of Linux/Windows system programming, multithreading, concurrency, IPC, networking, and distributed systems.
Strong communication and stakeholder-management skills.
Preferred qualifications
Experience in semiconductor manufacturing, industrial automation, robotics, or advanced inspection systems.
Experience with edge AI deployment and real-time inference systems.
Familiarity with SQL, Spark, Databricks, and distributed computing environments.
Increased process efficiency, yield, or product quality through AI-driven insights.
Technical leadership and influence across multiple engineering programs.
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.
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.
