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Senior Software Engineer

2 months ago

Cupertino, California, United States Apple Full time

Overview:
Weekly Hours: 40

Role Number:

The AI/ML Siri Performance and Reliability Metrics team is in search of a Senior Software Engineer with a robust background in constructing extensive data systems and the ability to thrive in a dynamic environment with substantial influence.

We are looking for a skilled engineer who excels in collaboration across teams and possesses a commitment to excellence.

Our focus is on designing and implementing performance metrics and visualization tools that provide critical data and insights to AI/ML engineering and leadership.


As a Senior Software Engineer on the AIML Performance & Reliability metrics team, you will play a pivotal role in enhancing Siri's performance and user experience throughout the software development lifecycle by developing metrics, data systems, and automated data analysis and visualization tools aimed at improving Siri's performance and reliability.


If you are passionate about delivering impactful results with outstanding programming, problem-solving, and communication skills, and are dedicated to creating top-tier products, we want to hear from you.


Our engineers on the Siri Performance and Reliability metrics team have the chance to make a significant impact across all Apple platforms through close collaboration with Engineering feature and product teams, Testing teams, and Quality teams.

Your contributions will directly enhance Siri's user experience for billions of Apple consumers.


Responsibilities:
We are seeking an engineer responsible for defining, developing, and delivering essential user-facing performance metrics to engineering partners and senior leadership.

In this capacity, you will work closely with engineering teams to identify opportunities for Siri performance enhancement. Your responsibilities will include maintaining large-scale data systems on both server and on-device for performance metrics computation and observability. We seek someone with excellent communication skills, capable of engaging with colleagues and leadership to collaboratively solve complex challenges.

You should be comfortable executing in a rapidly evolving environment with ambiguous requirements, driving incremental impact. You will demonstrate strong problem-solving abilities and be self-directed with a proven track record of execution. A continual desire for learning, attention to detail, and the ability to identify opportunities for innovation and knowledge sharing are essential. You will adhere to best practices for code development, including unit testing, CI/CD, performance testing, documentation, monitoring, and alerting.

Your role will involve collaborating with stakeholders to understand metric requirements, provide technical guidance, gather specifications, and deliver effective data solutions and dashboards.


Minimum Qualifications:
Expert knowledge of one or more object-oriented programming languages (Java, Objective-C, C++, Scala, Swift, etc.).
Proficiency in building data systems for product metrics and analytics.

Experience with Spark or other distributed data technologies (e.g., Hadoop, Presto, Flink, Druid) for creating efficient and large-scale data systems.

Experience with one or more scripting languages (Python, Ruby, Bash, etc.).
7 years of development experience and a Bachelor's or Master's degree in Computer Science or a related field, or 5 years of development experience and a PhD in Computer Science or a related field.

Expertise in developing big data systems and analyzing large data volumes to identify patterns, derive insights, and troubleshoot anomalies.

Proficient in SQL for data analysis, insight derivation, and improvement initiatives.
Leadership experience, including serving as a technical lead for complex development projects, demonstrating sound technical judgment and prioritization skills.

Demonstrated ability to navigate a complex cross-functional environment, influence at all levels, and build strong relationships to deliver impactful results.


Preferred Qualifications:
Experience in Swift and familiarity with common iOS libraries and architecture.
Experience in building dashboards and visualizations using BI tools like Apache Superset, Tableau, Looker, or similar.
Experience in data architecture and modeling.
Experience in performance and reliability measurement and hotspot identification.
Experience in troubleshooting and optimizing data system issues at scale.
Experience in deploying code on devices and addressing performance bottlenecks.

Experience in logging data from devices and understanding telemetry protocols.


Compensation & Benefits:
At Apple, base pay is one component of our total compensation package and is determined within a range. This allows for growth as you develop within your role.

The base pay range for this position is between $175,800 and $312,200, with your base pay depending on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become shareholders 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 they voluntarily participate in Apple's Employee Stock Purchase Plan.


Additional Benefits:

Comprehensive medical and dental coverage, retirement benefits, a variety of discounted products and free services, and reimbursement for certain educational expenses related to career advancement at Apple.

Additionally, this role may be eligible for discretionary bonuses or commission payments as well as relocation assistance. Learn more about Apple Benefits.

Note:

Apple's benefits, 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 committed to inclusion and diversity.

We take affirmative action to ensure 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.