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# Systems Design Engineer

- **Company:** Apple Inc.
- **Location:** San Diego, CA, United States
- **Salary:** $137,500.0 - $207,100.0
- **Contract:** Permanent contract
- **Skills:** Apple Watch, LTE (Telecommunication), Apple Products, Code Division Multiple Access, W-CDMA (UMTS), Databases, Global System for Mobile Communications, Statistical Hypothesis Testing, Python (Programming Language), Log Analysis, MATLAB, Machine Learning, Network Architecture, Software Engineering, Supervised Learning, 5G NR, Wireless Devices, Drilldown, Wireless Technologies
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/df0659dc-96d5-45c7-964b-7c542a36e63f

## About the Role

Master's degree or foreign equivalent in Electrical Engineering, Electronics Engineering, or a related field.

Experience and/or education must include:

Utilizing wireless communication knowledge to test Apple products' performance in different cellular technologies including GSM, WCDMA, LTE, and 5G in field scenarios.

Implementing Digital Signal Processing knowledge to design, develop, and validate test plans related to wireless features.

Diagnosing and resolving issues related to protocol layers including PHY, PDCP, and MAC using device-side log analysis.

Applying Python knowledge to develop scripts for efficient log analysis from field testing and root-cause real-world device issues to improve product performance.

Identifying and isolating issues observed in field testing by leveraging wireless protocol and RF log analysis tools to drive root cause resolution

Applying wireless communication skills to develop, test, and optimize cellular products and features which serve millions of users.

Applied maximum likelihood, MAP estimation, channel estimation, and hypothesis testing techniques to characterize wireless channel behavior, assess signal quality degradation, identify anomalous channel conditions, and root-cause multipath fading and delay spread issues from field-captured device-side RF logs.

Proficient in MATLAB and Python-based Machine Learning, with hands-on experience developing supervised learning models, regression pipelines, and anomaly detection algorithms.

Applied stochastic process modeling, power spectral density analysis, autocorrelation techniques, and statistical channel models alongside SNR/BER statistical analysis to characterize noise, interference distributions, and signal impairments observed in wireless device field logs and drive link quality optimization recommendations.

## Description

APPLE INC has the following available in San Diego, California. Work with the HW/SW development teams and other cross functional teams on identifying issues impacting the Cellular performance. Evaluate the latest unrelease Apple Products (iPhone, iPad and Apple Watch hardware) in the field, from early prototype to final products, on different network and wireless technologies, including performance metrics creation/evolution, post processing and analysis of device logs from the field. Perform end to end testing of cellular technologies that includes test plan preparation, field testing, log analysis & deep-dive analysis of logs to root cause the issues (HW & System). Test the device against various network Infrastructure (across different cellular technologies like GSM, CDMA, WCDMA, LTE and 5G) and collect key performance metrics along with verifying that the device is functionally stable. Update test databases with the validation results and furnish periodic reports. Provide