Software Integrity Engineer, Sensing & Connectivity

Cupertino, CA, US • Posted 12 hours ago • Updated 12 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Innovation
  • Cellular
  • Bluetooth
  • SOS
  • Satellite
  • Quality Assurance
  • Test Execution
  • Computer Science
  • Electrical Engineering
  • Applied Mathematics
  • Wireless Communication
  • Python
  • Testing
  • Test Methods
  • Debugging
  • ROOT
  • Scripting
  • Automated Testing
  • Data Analysis
  • Global Positioning System
  • Sensors
  • Fusion
  • Machine Learning (ML)
  • Generative Artificial Intelligence (AI)
  • 3GPP
  • Communication
  • Presentations
  • Algorithms
  • Agile
  • Product Requirements

Summary

Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Our Sensing and Connectivity team is seeking a Software Integrity Engineer 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 a Software Integry engineer, you will directly measure, characterize, and improve the accuracy, reliability, and performance of these algorithms - ensuring 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 with a deep understanding of what quality means for GNSS positioning. You will play a hands-on role in sustaining the operational foundation of our validation infrastructure , owning the health, configuration, and readiness of devices, test rigs, and receivers to ensure continuous, uninterrupted test execution.

Minimum Qualifications

Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or equivalent experience.

3+ years of experience in GNSS testing, positioning validation, or wireless system verification.

Proficiency in Python for data analysis, scripting, and automation

Experience with GNSS/A-GNSS simulation equipment (Spirent, LabSat) and live signal roof top testing for functional & performance validation

Familiarity with QA methodologies and test automation strategy.

Experience in debugging logs to triage and root-cause issues ,with development of custom analysis scripts considered a plus

Ability to drive cross-functional communications and understanding dependencies while also ensuring a tight timeline can be maintained

Preferred Qualifications

Experience in design and development of automated test harnesses & data analysis tooling

Knowledge of the chipset validation lifecycle , from silicon bring-up through production-level algorithm tuning.

Understanding of A-GNSS protocols, multi-constellation processing (GPS, Galileo, GLONASS, BDS), and sensor-fusion architectures

Knowledge of machine learning algorithms and novel genAI techniques that can be leveraged for automation and analysis

Ability to read and interpret 3GPP location-service specifications (LPP, SUPL) and translate logs to verify misses against conformance requirements

Excellent written and verbal communication skills; comfortable presenting algorithm validation results to cross-functional audiences.

Prior experience in fast-paced, agile environment with the 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: 90f884ff716b206d430a309fc1c0352d
  • Posted 12 hours ago
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