Data Systems Engineer at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Collection Rigs, Hardware Integration, Software Integration, System Performance Optimization, First-Principles Problem Solving, Prototyping, Python, C++, Debugging, Cross-functional Collaboration, Sensor Integration, Timing Systems, Custom Instrumentation, Networking Fundamentals, Computer Vision, Robotics

Industry

Computers and Electronics Manufacturing

Description

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. In SSP Data, our mission is to power the technological and design aspirations of the best products in the world through Data, while championing quality, privacy, safety, and an ethical experience. We are seeking a highly-motivated Data Systems Engineer to design and build custom data collection rigs serving a variety of core Apple technologies. You'll work at the intersection of hardware, software, and data collection operations. Your ground-up platforms will address future data needs and modalities. This role demands strong engineering fundamentals: first-principles problem solving, the ability to move from concept to working prototype, and an understanding of your final customer. DESCRIPTION A successful Data Systems Engineer will have strong analytical and problem-solving skills grounded in engineering fundamentals and hardware/software integration experience. You will build custom engineering rigs and optimize end-to-end system performance across our data infrastructure. This role requires technical depth across multiple disciplines, comfort working from first principles, and judgment about when to build custom solutions versus leveraging existing systems. MINIMUM QUALIFICATIONS Bachelor's degree in Computer, Electrical, Mechanical Engineering, Computer Science, Physics, Data Science, or similar Strong programming skills (in Python, C++, or similar) to control hardware PREFERRED QUALIFICATIONS Experience debugging complex systems across hardware, software, and network layers Ability to work cross-functionally with hardware, software, and operations teams Enthusiasm for taking projects from prototype to production handoff Comfortable with ambiguity — defining problems while solving them Experience with sensor integration/synchronization, timing systems, or custom instrumentation Strong communication skills with both technical and non-technical stakeholders Adaptable, with precise attention to detail and a strong work ethic Understanding of networking fundamentals (troubleshooting packet loss, latency, reliability) Background in computer vision, robotics, or metrology systems Familiarity with embedded systems, thermal management, or power systems Experience with controlled testing environments or lab instrumentation Understanding of data quality metrics and validation frameworks Background in data collection for ML/algorithm development

Responsibilities

The Data Systems Engineer will be responsible for designing and building custom data collection rigs to support core Apple technologies, working at the intersection of hardware, software, and data collection operations. This role involves building ground-up platforms to address future data needs and optimizing end-to-end system performance across the data infrastructure.