Senior Software Engineer - Data
Apple
Software Engineering
Sunnyvale, CA, USA
USD 181,100-318,400 / year + Equity
Posted on Feb 17, 2026
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. We are actively seeking an exceptional and highly motivated Engineer to join our team for data processing infrastructure and pipeline development. This role will be instrumental in supporting data-driven R&D across a diverse range of core products and technologies. The ideal candidate possesses a demonstrated history of success in designing and developing robust, scalable, and efficient processing pipelines for multimodal data, including, image, video, text, audio, sensor data, metadata, etc.
In this role, you will be responsible for data processing and curation of the multimodal data. You design and implement systematic processes, automated pipelines, and collaborate with data collection and ML & product engineers to create high quality data, support data-driven product and AIML development, and ensure data compliance with security and privacy regulations.
- Establish and optimize a comprehensive data processing, validation, and curation workflow.
- Design and implement robust, scalable, and efficient infrastructure and pipeline to process multimodal data.
- Design and execute data processing operations to run data processing, monitor its progress, and facilitate efficiency improvement throughout data ingestion and processing.
- Collaborate with cross-functional teams to implement a scalable framework and pipeline to extract, clean, transform, and standardize the multimodal data and metadata generated from a wide range of sources to make the data trustworthy, discoverable, and accessible.
- Develop and drive the feedback loop between data consumers and data generation.
- Bachelor’s degree in Computer Science and/or an equivalent engineering field, and 6+ years of industry experience architecting and developing scalable and reliable software, pipeline and platforms for data processing, validation, analytics and curation on the multimodal data (including, image, video, text, audio, sensor data, etc. )
- Experience with Python and SQL
- Experience with data pipeline, modeling, database and query tools, like Dagster, PostgreSQL, MangoDB, Trino or equivalent.
- Experience with building and scaling systems on premise and in the cloud
- Passion for data quality and curation, code elegance, clear documentation, operational excellence, attention to details and delivering outstanding user experiences
- Excellent communication skills. Able to confidently express the benefits and constraints of technology solutions to cross-functional technical and non-technical teams.
- Comfortable with rotating on-call for mission-critical operations and applications
- Experience with vision data processing tools like FFmpeg, GStreamer, OpenCV, or equivalent.
- Experience in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or analogous architectures.
- Experience with the practical application of data warehousing concepts, methodologies, and frameworks.
- Experience with AI/ML frameworks like TensorFlow or PyTorch.
- Experience with machine learning algorithms for data curation and annotation.
- Experience with data collection and/or annotation operations
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.