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Software Engineering Manager – Remote Services

Remote / Online - Candidates ideally in
Farmington Hills, Oakland County, Michigan, USA
Listing for: KLA-Belgium
Remote/Work from Home position
Listed on 2026-08-15
Job specializations:
  • Software Development
    Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 153000 - 261000 USD Yearly USD 153000.00 261000.00 YEAR
Job Description & How to Apply Below

Company Overview

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.

The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems.

There is never a dull moment with us.

Group/Division

The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services.

Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.

Key Responsibilities
  • Lead, coach, and grow a team of full‑stack software engineers, including hiring, onboarding, performance feedback, and career development, while remaining an active technical contributor to the team's work.
  • Set technical direction for front-end applications, back‑end services, APIs, and microservices, and stay hands‑on through design reviews, code reviews, prototypes, and direct contributions to critical or ambiguous parts of the stack.
  • Partner with marketing, product management, IT infrastructure, security, and support to align engineering execution with business priorities.
  • Own roadmap development, backlog refinement, and release planning for the remote services portfolio.
  • Manage team capacity, sprint commitments, and dependencies so that milestones are delivered predictably.
  • Establish and uphold engineering standards for automated testing, CI/CD pipelines, observability, and production readiness.
  • Drive incident response and root‑cause resolution for production issues across the full technology stack.
  • Ensure compliance with relevant regulations and standards, and maintain the integrity and security of remote access systems.
  • Lead an AI‑first engineering practice: use coding assistants such as Claude Code and Devin in your own daily work, and define the standards, guardrails, and review practices that make AI‑accelerated delivery safe, secure, and effective across the team.
  • Personally evaluate emerging AI engineering tools, agentic workflows, and remote access technologies, run pilots with the team, and decide where to invest based on measured results.
  • Manage stakeholder communication, including status reporting, risk escalation, and budget or vendor discussions as needed.
  • Stay hands‑on by writing and reviewing code, building prototypes, and pairing with engineers on complex problems, dedicating a meaningful share of your time to technical work.
  • Model AI‑first engineering behavior day to day, sharing working patterns, measuring their impact on cycle time and quality, and coaching engineers to adopt what works.
Preferred Qualifications
  • Proven track record of hiring, developing, and retaining engineering talent in a hands‑on, high‑ownership team culture.
  • Strong communication skills, with the ability to influence and work effectively with cross‑functional teams and senior stakeholders.
  • Skilled at…
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