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Cash Applications Analyst on Apple's Americas Order-to-Cash team, handling daily finance operations, process improvement, and data/automation initiatives in a global, fast-paced environment.
The DevOps/SRE Engineer will architect and manage distributed compute platforms and application services to support Apple Retail Store systems. The role involves collaborating with cross-functional teams to automate deployments, improve observability, and maintain infrastructure using languages like Python, Rust, or Java.
This role involves developing and optimizing firmware and software at the WiFi MAC level for Apple products. The engineer will design MAC-level algorithms, support kernel drivers, and collaborate across disciplines to ensure high-performance wireless connectivity.
The Virtual Prototyping Specialist designs and develops virtual prototype models and platforms for RF embedded systems to enable pre-silicon firmware and software development. The role involves collaborating with system engineering teams to optimize model performance and support system verification.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling…
The Site Reliability Engineer will support Apple's Enterprise Product Lifecycle Management platform by ensuring system uptime, scalability, and performance. The role involves automating tasks, monitoring distributed systems, and performing root cause analysis using Java, Python, and various infrastructure tools.
Design and develop highly scalable, distributed Java-based systems for payment processing and financial capabilities within Apple's IS&T organization.
The Senior Software Engineer will build and maintain scalable, distributed data systems and integrate open-source software with Apple's internal ecosystem. The role focuses on developing data applications, optimizing SQL processes, and supporting AI-powered innovation using cloud technologies.
Design engineer leading System-in-Package (SiP) process development from concept to high-volume manufacturing, coordinating internal teams and external suppliers.
Senior Engineering Program Manager in Apple's IS&T organization, leading large-scale, cross-functional enterprise and customer technology systems that support billions of devices. Relies on Generative AI/LLM tools for program management workflows.
Design and maintain precision RF/analog test equipment to calibrate and validate wireless radios (5G, Wi-Fi, Bluetooth, etc.) across Apple devices, blending bench debugging, automation, and cross-team collaboration.
Design and optimize RF systems and antennas for Apple’s wireless products, balancing performance, integration, and manufacturability.
Applied Data Scientist on Apple's Hardware Engineering DataViz team, transforming complex engineering data into visualizations and actionable insights across Apple products using statistics, machine learning, and data analysis.
Develops and tests software for cellular protocol stacks (4G/5G) and RF systems used in Apple’s precision test equipment for iPhones, iPads, Macs, and Apple Watches.
Join Apple’s Instrument Engineering team, where we design and build the custom RF test instruments that help deliver world-leading products to our customers. As GUI Software Lead, you’ll shape the software experience…
Join the Sensing and Connectivity team to work on Location Technologies that power critical experiences in Apple products. We build highly innovative and deeply impactful location features based on the core wireless…
Analyze and optimize ML inference performance (latency, memory, power) on Apple Silicon, working across the SW stack, low-level drivers, and HW debug involving CPU, GPU, and Neural Engine using Python/C++ and frameworks like PyTorch and MLX.
Builds and maintains a large-scale simulation platform for AI/ML testing, integrating virtual/physical devices, cloud infrastructure, and full-stack tooling (Python, React, Kubernetes, Postgres).
Build and optimize the Core ML Runtime and graph compilation system for on-device ML execution across Apple platforms, using C++/Swift, compiler stacks like MLIR/LLVM, and deep systems programming expertise.
Analyze and optimize on-device ML model performance (latency, memory, power) on Apple Silicon for iPhones and Macs, working with frameworks like PyTorch and MLX across CPU, GPU, and Neural Engine.
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