Performance Engineer • Mid-Level

Who you are

You have a Bachelor's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field, and possess a strong foundation in performance analysis and data-driven decision-making. Your experience includes working with large-scale multivariate time-series data, where you've utilized statistical analysis to derive insights that inform product development. You are skilled in programming, particularly in Python, and have a knack for designing experiments that yield actionable results. Your ability to communicate complex performance metrics clearly makes you an effective advisor to both software and hardware teams.

You thrive at the intersection of performance optimization and strategic planning, understanding how to model and predict performance outcomes. Your analytical mindset allows you to translate intricate performance questions into straightforward recommendations, driving improvements across various projects. You are comfortable collaborating with cross-functional teams, ensuring that performance considerations are integrated into the product lifecycle from inception to execution.

Desirable

Experience with performance modeling tools and techniques is a plus, as is familiarity with automation in analysis pipelines. You may have worked in environments where you contributed to architectural decisions based on performance data, showcasing your ability to influence product planning effectively. A background in data science or machine learning can further enhance your contributions to the team.

What you'll do

In this role, you will serve as a performance optimizer and advisor, collaborating with feature teams to architect new capabilities and hardware teams to plan next-generation devices. You will blend statistical analysis with software engineering to analyze large-scale data, design experiments, and build models that translate complex performance questions into clear recommendations. Your work will involve writing code for analysis pipelines and simulation tools, enabling teams to make informed decisions based on quantitative insights.

You will engage in performance analysis, utilizing data-driven insights to shape architecture decisions and hardware specifications. Your role will require you to design and implement experiments that assess performance metrics, ensuring that the products meet Apple's high standards for performance. You will also be responsible for developing automation tools that streamline the analysis process, allowing for more efficient decision-making across teams.

Collaboration will be key in this position, as you will work closely with various stakeholders to ensure that performance considerations are integrated into product planning. You will provide insights that help guide the direction of future products, making your contributions vital to Apple's success in delivering exceptional user experiences.

What we offer

Apple is committed to fostering an inclusive and diverse workplace, where every employee feels valued and empowered. You will have the opportunity to work in a dynamic environment that encourages innovation and collaboration. The company offers competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a team that is dedicated to pushing the boundaries of technology and enhancing the performance of Apple's products, making a significant impact on the user experience.