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Software Engineer 3

Lam Research -
Dublin, County Dublin

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Job details

Full-time
13 hours ago

Qualifications

Jira
CI/CD
Mechanical engineering
Doctoral degree
Software troubleshooting
DevOps
Data structures
C#
Mechanical Engineering
Windows
.NET
Master's degree
Bash (Unix shell)
OOP
C++
Docker
Bachelor's degree
Confluence
Distributed systems
Computer Engineering
Data analytics
Software development
GitHub
Agile
Linux
TCP/IP
Root cause analysis
AI
Jenkins
Communication skills
Python
Debugging
SDLC

Full job description

Requisition ID

199589

Date posted

06/18/2026

Work Location Model

On-site Flex

Work Location

Dublin-IE-Remote

Work Country

Ireland

The group you’ll be a part of

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.

The impact you’ll make

As a Software Engineer at Lam, you will be at the forefront of innovation by designing, developing, troubleshooting, and debugging software programs. Your role is pivotal in developing software tools that support design, infrastructure, and technology platforms. Your expertise will determine hardware compatibility and influence design, ensuring seamless integration between software and hardware. In this role, you’ll make an impact across Lam’s entire product portfolio of equipment working within our centralized software engineering team, collaborating with some of the brightest minds in the industry. This position is a hybrid role which will include both Software Development and DevOps-driven Quality Assurance and Validation.

We are seeking a hands-on software engineer to design, develop and validate robust software solutions for equipment intelligence applications, using C++ and Python, while supporting automated validation, CI/CD pipelines, and software quality processes.

This is a full-time position, based in Dublin, Ireland.

What you’ll do

Design, develop, troubleshoot, and debug software programs for enhancements and new products, using different languages C++, Python and .NET, in various operating systems
Provides technical and professional leadership and support to enable software engineering projects emphasizing control algorithm development applied to machine data for new product development and equipment intelligence for Industry 4.0
Collaborate with developers, QA, applications support and domain experts to define customer-centric test cases, isolate and resolve defects, and provide first-level support and code-level debugging across distributed, embedded control systems.
Develop and maintain automated test frameworks and validation tools, including functional, regression, and performance testing
Demonstrate solutions through clear documentation, flowcharts and clean code, and contribute to DevOps / CI-CD activities (e.g. Jenkins) to support continuous delivery of the product.
Work within cross-functional teams to deliver tangible results under strict deadlines, with international travel (USA, Europe, Asia) when required - typically less than 10%.

Who we’re looking for

Minimum Qualifications:

Bachelors degree in Computer Engineering, Electronics, or Mechanical Engineering with 5+ years of experience; OR Masters degree with 3+ years experience; OR PhD with 1+ years experience; OR equivalent experience.
Strong hands-on experience with modern languages including modular design, data structures, algorithms, memory management, and performance across C++, Python, and .NET C#. Experience with application components, services, tooling, and native code interop.
Strong understanding of Windows programming (APIs, services, processes, tooling) and working knowledge of Linux and Bash, including building, running and debugging applications on both platforms.
Solid object-oriented design skills including design patterns and finite state machines. Strong knowledge of multithreading and concurrent programming (scheduling, synchronization, thread safety).
Experience with source control, modern software development cycles, root cause analysis, and networking fundamentals including TCP/IP.
Hands-on experience using AI-assisted development tools such as GitHub Copilot or similar in daily engineering workflows.
Experience with embedded software development, distributed systems, and real-time operating systems.
Exposure to software testing or QA practices and debugging/root cause analysis.
Excellent verbal and written communication skills. Ability to communicate technical information clearly at all levels. Team-oriented and able to work independently and cross-functionally.

Preferred qualifications

Semiconductor technology and processing knowledge, and exposure to data analytics, machine learning or process control algorithms applied to equipment data
Experience with containers and virtualization (e.g. Docker) and deploying or running applications across mixed Windows / Linux environments.
Experience working in Agile / Scrum teams with tools such as Jira and Confluence.
Familiarity with low-level serial communication between devices and peripherals.
Experience in test automation, familiarity with DevOps, SDLC and CI/CD tools

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.

Apply Now

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machine learning software development engineer, ai ops integration jobs

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