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Lab Systems Engineer, Silicon Bring-Up & Automation Platforms

Apple· Hardware
Apply on company site
Hybrid (San Francisco Bay Area)$184.7k - $324.8kfull-timePosted 2mo ago

About the role

In this highly visible role, you will bring up and validate new Apple Silicon at the bench while building internal software platforms the broader hardware and lab organization relies on. You’ll develop automated data pipelines, instrument management, and AI-powered tooling to accelerate silicon validation across lab environments, spanning bare metal macOS, Docker, and Kubernetes, with a focus on observability, automation, and scalable analytics.

Responsibilities

  • Lead bring-up of new SoCs and boards from first power-on through validation sign-off, register-level debug, protocol analysis, and root-causing issues across hardware, software, and test infrastructure
  • Run validation test plans against design specs and triage failures at the bench with lab instrumentation (scopes, logic analyzers, power analyzers), collaborating with design teams to drive issues through to closure
  • Build and maintain internal tools, dashboards, and automation that give hardware and lab engineers visibility into lab state, device health, and validation progress
  • Develop shared instrumentation/automation libraries used across lab teams, and APIs/data pipelines that tie lab instrumentation and validation tooling into a coherent platform
  • Apply AI-assisted development to lab tooling, including plugins, custom skills, and agentic workflows
  • Deploy and operate the Kubernetes infrastructure these tools run on, working closely with hardware, software, and lab infrastructure teams to reduce manual toil and improve observability across bring-up and lab automation workflows
  • BS and 10+ years of relevant industry experience
  • MS in Electrical Engineering, Computer Engineering, or a related field with 6+ years of experience
  • Strong Python fundamentals, proven ability to build production-quality internal tools, APIs, and services
  • Proven collaborator across teams, with clarity, ownership, and timely communication
  • Familiarity with databases (SQL/NoSQL), file systems, and object storage
  • Direct experience with silicon bring-up or hardware validation, including register-level debug
  • Experience with Docker and deploying/operating Kubernetes-based infrastructure for lab or validation services, CI/CD pipelines and version control systems
  • Hands-on experience with lab/test instrumentation (scopes, logic analyzers, power analyzers) and instrument automation
  • Experience automating network configuration and diagnostics for lab environments
  • Experience maintaining shared internal instrumentation/automation libraries
  • Experience with device/fleet monitoring systems (topology, MAC/port tracking, calibration tracking)
  • Experience with AI-assisted development, plugins, custom skills/agents, or agentic workflows
  • Experience developing, deploying, and maintaining applied ML or statistical modeling pipelines to analyze lab and system data at scale
  • Experience implementing alerting and monitoring systems for workflow health and failure detection
  • Prior experience publishing papers, posters, or other technical work in relevant conferences or venues

Qualifications

  • BS and 10+ years of relevant industry experience
  • MS in Electrical Engineering, Computer Engineering, or a related field with 6+ years of experience
  • Strong Python fundamentals
  • Familiarity with databases (SQL/NoSQL), file systems, and object storage
  • Direct experience with silicon bring-up or hardware validation, including register-level debug
  • Experience with Docker and deploying/operating Kubernetes-based infrastructure for lab or validation services, CI/CD pipelines and version control systems
  • Hands-on experience with lab/test instrumentation (scopes, logic analyzers, power analyzers) and instrument automation
  • Experience automating network configuration and diagnostics for lab environments
  • Experience maintaining shared internal instrumentation/automation libraries
  • Experience with device/fleet monitoring systems (topology, MAC/port tracking, calibration tracking)
  • Experience with AI-assisted development, plugins, custom skills/agents, or agentic workflows
  • Experience developing, deploying, and maintaining applied ML or statistical modeling pipelines to analyze lab and system data at scale
  • Experience implementing alerting and monitoring systems for workflow health and failure detection
  • Prior experience publishing papers, posters, or other technical work in relevant conferences or venues

Skills

Required:PythonRegister-level debugDockerKubernetesLab instrumentation
Nice to have:AI/ML tooling

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • possible discretionary bonuses or commission payments
  • relocation assistance
  • Apple Employee Stock Purchase Plan (ESPP)
  • stock options via discretionary employee stock programs
Last updated Aug 21, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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