Software Architect, Robotics & Fleet Platforms | Service Technologies Lab

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Location:

Santa Clara,CA, Singapore,SGP

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible - while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .

ABOUT APPLIED MATERIALS

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality.

OUR TEAM

The team is building on decades long legacy of Applied Materials in automation through both digital and physical embodiments. The Cobot team at Applied Materials is responsible for extending this leadership by building cobots and other future physical AI embodiments for performing repair and maintenance tasks for tools used in semiconductor manufacturing.

GENERAL PROFILE

This role provides software architecture direction and people leadership for service robotics software platforms. It is responsible for definition and governance of product-grade software ecosystems that enable development, validation, release, field deployment, fleet operations, updates, sustainment, and lifecycle management for globally deployed service cobots.

RESPONSIBILITIES

Architecture: Define the software architecture, technical roadmap, and interface strategy for Applied Materials service robotics platform, including embedded software, fleet connectivity, diagnostics, observability, simulation, and lifecycle tooling dependencies. Establish architectural guardrails for scalable product development, release management, software updates, cybersecurity alignment, quality practices, documentation, and long-term maintainability.

Project Delivery: Ensure project and program technical objectives are clearly defined, with outcomes, milestones, feasibility considerations, resourced, and technical risks understood before major execution phases.

Technical Leadership: Lead the dedicated software team, expected to remain lean in the early stage, while shaping the future operating model across the company, central software teams, and external partners. Cross-functional Leadership: Partner with central software organizations on standards, tooling, reusable infrastructure, security, compliance, release practices, and integration with existing Applied Materials software ecosystems.

Governance: Ensure all phases of software architecture, development, validation, deployment, and support are documented, and that information is transferred effectively across engineering, product, service, and governance stakeholders.

Technical Pathfinding: Spearhead adoption of new software technologies and methods where appropriate, ensuring created processes, designs, and architectures can be incorporated into Applied Materials products/services or disseminated to other teams.

JOB REQUIREMENTS

Technical Knowledge

Comprehensive understanding of software architecture, software systems engineering, robotics software stacks, integration patterns, requirements, validation, release processes, release management and product lifecycle management.

Experience robotics software stack e.g. C/C++, Python, ROS2, Kinematic Solvers, Motion Planning, Simulation methodologies, Edge AI, Computer Vision, Sensor Fusion methods.

In depth knowledge of robotics controls, embedded/edge computing, simulation, cybersecurity, fleet operations, diagnostics, service workflows, supplier management, and product development governance.

Prior experience in developing products that combine hardware and software (e.g. robotics, consumer electronics, drones, medical devices).

AI competency: Knowledge of software development methodologies that utilize AI. Functional knowledge of AI model architectures across vision and transformer models.

Leadership

Direct or indirect experience in leading teams. This includes setting priorities, resource allocation, talent development, and work allocation.

Influences senior stakeholders and teams without direct reporting authority, including central software groups, robotics/product teams, field/service organizations, suppliers, and governance functions.

Creates structure in ambiguous early-stage product environments while maintaining practical execution focus and alignment to program outcomes

Impact

Impacts ability to develop, validate, deploy, and scale service robotics solutions by establishing the software architecture and operating model for a reusable, product-grade robotics platform.

Supports business results through roadmaps, plans, technical governance, resource prioritization, supplier alignment, and scalable software practices.

Interpersonal Skills

Communicates software strategy, trade-offs, risks, and priorities clearly to engineering teams, senior management, suppliers, and cross-functional partners.

Builds alignment across global teams and maintains close engagement with Singapore for the dedicated software team.

Education

Master's or higher in Robotics, Computer Science or Mechanical Engineering. Software Engineering, Electrical/Electronic Engineering, Systems Engineering, or related technical discipline.

Experience

10+ years of relevant software engineering, software architecture, product development, or robotics/automation platform experience, including experience leading teams, influencing cross-functional stakeholders, and delivering complex software systems through a product lifecycle.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Not Specified

Relocation Eligible:

No