Urgent! Lab and Data Automation Engineer - Local Job Opening in Cupertino
**Role Number:** 200609374-0836
**Summary**
In this highly visible role, you will develop automation flows to store, analyze, and visualize Apple Silicon data, while also enabling instrument tracking and network automation for secure, scalable data collection.
At Apple, we work every single day to craft products that enrich people’s lives.
If you love working on challenges that no one has solved yet and automating tasks that span across multiple continents, we have the perfect opportunity for you.
As a part of our extremely dynamic and forward-thinking group, you will have the rare and exciting opportunity to craft nuanced products that will surprise and delight millions of Apple’s customers every day.
**Description**
In this role, you will develop methods to improve and automate the collection, storage, processing, and visualization of silicon validation data from labs worldwide.
You’ll build and deploy scalable data pipelines using scheduling systems and design infrastructure to support distributed validation across bare metal macOS, Docker, and Kubernetes environments.
You will also automate the setup of silicon validation environments and manage data migration across systems.
A part of the role includes instrument tracking and network automation—integrating with lab hardware to configure devices, manage network environments, monitor instrument status, and collect validation data securely and at scale.
For efficient and insightful data analytics, you’ll build AI/ML based tools that accelerate data analysis and integrate with existing data analysis platforms.
This includes tracking power utilization of lab equipment, identifying patterns in usage, and optimizing for future demand through predictive modeling.
This work involves close collaboration with hardware, software, and infrastructure teams to enable rapid data exploration, debug large-scale systems, and implement alerting mechanisms that enhance observability and transparency across automation workflows.
**Minimum Qualifications**
+ BS and 3+ years of relevant industry experience.
**Preferred Qualifications**
+ Proficiency in Python and best practices for automation and tooling.
+ Experience building and maintaining CLIs, APIs, and end-to-end data pipelines using schedulers and orchestration tools.
+ Familiarity with databases (SQL/NoSQL), file systems, and object storage.
+ Hands-on experience with Docker, Kubernetes, CI/CD pipelines and version control systems.
+ Proven track record to debug, deploy and support distributed systems in production.
+ Experience automating network configuration and diagnostics to streamline lab setup and improve reliability.
+ Experience designing secure data infrastructure with authentication, RBAC, and environment isolation.
+ Proven collaborator across teams, emphasizing clarity, ownership, and timely communication.
+ Experience working with scalable object storage and distributed file systems in cloud environments.
+ 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.
**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 $147,400 and $272,100, 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.
(https://www.apple.com/careers/us/benefits.html)
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity.
We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your Lab and Potential: Insight & Career Growth Guide
Real-time Lab and Jobs Trends in Cupertino, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lab and in Cupertino, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 160317 jobs in United States and 319 jobs in Cupertino. This comprehensive analysis highlights market share and opportunities for professionals in Lab and roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a Lab and Data Automation Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lab and Data Automation Engineer Jobs United States varies, but the pay scale is rated "Standard" in Cupertino. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lab and Data Automation Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Lab and Data Automation Engineer interview at Apple, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.
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