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Join Apple, and help us leave the world better than we found it. Our Sensing and Connectivity team is seeking AI Engineer Development Engineer in Test to validate and advance the next generation of location algorithms powering every Apple product. Our proprietary positioning stack fuses GNSS, Cellular, Wi-Fi, and Bluetooth signals to deliver the location experience behind Maps Navigation, Fitness applications, Emergency SOS via Satellite, and more. As an AI Engineer you will directly accelerate our processes and improve the teams productivity in measuring accuracy, reliability, and performance of the location algorithms which ensure hundreds of millions of users can trust the blue dot.
Description
The Software Location QE team operates at the intersection of algorithm development and quality engineering. We design experiments, build analysis pipelines, and run validation campaigns that prove (or disprove) that location algorithms meet Apple's rigorous standards across real-world and simulated environments.
We're looking for an engineer to bring AI-native tooling and agentic workflows to the way we validate our location stack. You will build agentic data pipelines to curate and quality-check location datasets and define the benchmarks that measure model quality, reliability, and real-world positioning behavior. You will own the quality bar for location features and partner across hardware, apps, and platform teams to ship AI-driven experiences from the ground up.
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or equivalent experience.
Experience building and shipping ML or AI systems, in production or through significant project work
Hands-on experience with LLMs, prompt engineering, and agentic frameworks
Experience designing evaluation frameworks, quality metrics, and test infrastructure
Strong software engineering fundamentals, with proficiency in Python and comfort across the stack
Demonstrated ability to deliver end-to-end features against release schedules
Preferred Qualifications
Understanding of A-GNSS protocols, multi-constellation GNSS operation(GPS, Galileo, GLONASS, BDS), embedded ML systems and sensor-fusion architectures
Familiarity with distributed compute platforms and large-scale data infrastructure
Prior experience in fast-paced, agile environment with flexibility to pivot quickly to support evolving product requirements
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: e31f370e51f8520dadeb95e41d743b49
- Posted 14 days ago
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