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Software Engineer 4
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- Full-time
- Doctoral degree
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Software Engineer 4

Lam Research -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

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

Full job description

Requisition ID

199241

Date posted

05/19/2026

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, and 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.

We are seeking a hands-on software engineer to plan, design, and develop robust machine learning and process control algorithms to run on Lam semiconductor manufacturing equipment, using statistical and first-principles modeling using available real-time sensor data and post-manufacturing product data.

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.
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:

Bachelor’s degree in Computer Engineering, Electronics, Mechanical Engineering with 8+ years of experience; or Master’s degree with 6+ years’ experience; or a PhD with 3+ years’ experience; or equivalent experience.
Strong hands-on experience with modern languages - modular design, data structures, algorithms, memory management and performance - across a range of C++/python/.NET C#, application components, services, tooling and interop with native code.
Strong understanding of Windows programming (APIs, services, processes, tooling) and strong working knowledge of Linux and the BASH shell, including building, running and debugging applications on both platforms.
Solid Object-Oriented design skills (design patterns, finite state machines) and strong knowledge of multithreading and concurrent programming (preemptive scheduling, synchronization, thread safety).
Experience with source control and modern software development cycles, analytical root cause analysis, and an understanding of Networking / TCP/IP fundamentals.
Hands-on experience using AI-assisted development tools such as GitHub Copilot (or equivalent) as part of the day-to-day software engineering workflow.
Experience with embedded software development, distributed embedded control systems and real-time operating systems.
Excellent verbal and written English communication skills, with the ability to deliver technical information to all levels of the organization; team-oriented and able to work independently as well as within a cross-functional team.

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.

Competencies

Innovative

Analytical Ability

Communication

Continuous Learning

Critical Thinking

Fluent English

Ownership and Accountability

Problem Solving

Teamwork

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 engineer jobs in dublin, d

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