Lab Engineer, Device Services Infrastructure
19 days ago Santa Clara, CA
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology
We are looking for a motivated and service-oriented individual who loves working on infrastructure. You must enjoy working on multiple concurrent projects in a fast-paced environment that fosters growth, teamwork, and innovation. This role will also help drive operational excellence through automation, telemetry, and data-driven workflows that improve device readiness, lab efficiency, and customer experience. The ideal candidate will contribute to the adoption of AI-assisted operational processes and automated workflows that reduce manual effort, improve decision-making, and support the organization's transition toward more intelligent and scalable lab operations.
Description
As a Infrastructure Lab Engineer, you will support large-scale device lab environments that enable hardware and software development across multiple engineering teams. You will combine hands-on lab operations, automation, infrastructure management, and technical troubleshooting to ensure devices remain healthy, available, and ready for testing. This role offers the opportunity to work on complex operational challenges, improve system reliability, and develop scalable solutions that enhance both engineering productivity and customer outcomes.
Identifying opportunities to improve operational efficiency through automation, telemetry, and data-driven insights
Supporting AI-assisted and automated workflows that improve device health, recovery outcomes, deployment verification, and overall lab reliability
Leveraging operational metrics and analytics to identify bottlenecks and drive scalable operational improvements","responsibilities":"Maintaining a fleet of thousands of iOS/macOS devices and peripherals across multiple labs
Ensuring devices and systems are up and available for testing
Provisioning and deployment of released/unreleased hardware
Debugging and troubleshooting device hardware/software failures
Developing scripts and automation for managing machine configuration and software deployment
Providing support to engineering teams in debugging systems
Identifying opportunities to improve operational efficiency through automation, telemetry, and data-driven insights
Supporting AI-assisted and automated workflows that improve device health, recovery outcomes, deployment verification, and overall lab reliability
Leveraging operational metrics and analytics to identify bottlenecks and drive scalable operational improvements
Preferred Qualifications
Experience working in fast-paced engineering environments
Exposure to working with service-based systems and RESTful services
Basic understanding of LAN networking concepts (DNS, DHCP, routing)
Experience working in structured lab environments with high-density hardware deployments
Experience supporting macOS and/or iOS devices in a lab environment
Familiarity with device provisioning, deployment, and lifecycle management
Experience troubleshooting hardware, software, and infrastructure issues
Minimum Qualifications
2-3+ years of experience supporting software services in a Unix-based environment
Exposure to automated provisioning processes
Basic scripting experience in Shell or Python
Familiarity with configuration management tools such as Puppet, Ansible, or similar
Working knowledge of Git or other source control systems
Experience contributing to shared repositories and collaborative development workflows
Strong communication skills and ability to collaborate effectively with engineering teams
Willingness to learn and apply structured problem-solving approaches
Strong attention to detail and a service-oriented mindset
Experience using AI-assisted development tools to accelerate engineering workflows, including scripting, automation, debugging, or technical problem solving.
Ability to evaluate and validate AI-generated solutions, applying engineering judgment to ensure technical accuracy, reliability, and maintainability.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $144,600 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Description
As a Infrastructure Lab Engineer, you will support large-scale device lab environments that enable hardware and software development across multiple engineering teams. You will combine hands-on lab operations, automation, infrastructure management, and technical troubleshooting to ensure devices remain healthy, available, and ready for testing. This role offers the opportunity to work on complex operational challenges, improve system reliability, and develop scalable solutions that enhance both engineering productivity and customer outcomes.
Identifying opportunities to improve operational efficiency through automation, telemetry, and data-driven insights
Supporting AI-assisted and automated workflows that improve device health, recovery outcomes, deployment verification, and overall lab reliability
Leveraging operational metrics and analytics to identify bottlenecks and drive scalable operational improvements","responsibilities":"Maintaining a fleet of thousands of iOS/macOS devices and peripherals across multiple labs
Ensuring devices and systems are up and available for testing
Provisioning and deployment of released/unreleased hardware
Debugging and troubleshooting device hardware/software failures
Developing scripts and automation for managing machine configuration and software deployment
Providing support to engineering teams in debugging systems
Identifying opportunities to improve operational efficiency through automation, telemetry, and data-driven insights
Supporting AI-assisted and automated workflows that improve device health, recovery outcomes, deployment verification, and overall lab reliability
Leveraging operational metrics and analytics to identify bottlenecks and drive scalable operational improvements
Preferred Qualifications
Experience working in fast-paced engineering environments
Exposure to working with service-based systems and RESTful services
Basic understanding of LAN networking concepts (DNS, DHCP, routing)
Experience working in structured lab environments with high-density hardware deployments
Experience supporting macOS and/or iOS devices in a lab environment
Familiarity with device provisioning, deployment, and lifecycle management
Experience troubleshooting hardware, software, and infrastructure issues
Minimum Qualifications
2-3+ years of experience supporting software services in a Unix-based environment
Exposure to automated provisioning processes
Basic scripting experience in Shell or Python
Familiarity with configuration management tools such as Puppet, Ansible, or similar
Working knowledge of Git or other source control systems
Experience contributing to shared repositories and collaborative development workflows
Strong communication skills and ability to collaborate effectively with engineering teams
Willingness to learn and apply structured problem-solving approaches
Strong attention to detail and a service-oriented mindset
Experience using AI-assisted development tools to accelerate engineering workflows, including scripting, automation, debugging, or technical problem solving.
Ability to evaluate and validate AI-generated solutions, applying engineering judgment to ensure technical accuracy, reliability, and maintainability.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $144,600 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Additional Information
- Salary: $144,600 – $263,800
- Posted: 19 days ago