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# Senior Mobile Systems Engineer

- **Company:** Aditi Consulting
- **Location:** Hillsborough, CA, United States
- **Experience:** Expert
- **Salary:** $176,800.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Android Software Development, Apple IOS, Systems Engineering, Computer Programming, Software Debugging, Distributed Systems, Memory Management, Mobile Application Software, Machine Learning, Performance Tuning, Software Engineering, System Programming, Multithreading, Large Language Models, Concurrency, Reliability of Systems, Swift (Programming Language), Backend, Kotlin, Event Driven Architecture, Low Latency, Wearables, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-mobile-systems-engineer-burlingame-ca--4c0b4a0f-f49d-4bae-ac2e-1148d2b14445

## About the Role

Systems Engineering, Kotlin, Swift, Mobile Applications, Android Applications, Distributed Applications, Software Design, Memory Management, Debugging Skills, Concurrency, * Proficient in Kotlin or Swift, async programming.

 * Design and implement software systems spanning wearable devices, IOS/Android mobile applications, and distributed backend services.
 * Strong understanding of memory management, resource ownership, race conditions, and deadlock preventions.
 * Debug race conditions, thread-safety issues, and complex concurrency issues.
 * Optimize CPU, memory, latency, and system reliabilities.
 * Verbal and written communication skills., * 10 years of experience; 7 with nice-to-have skills, open to considering., * Mobile - Experience building mobile products in Kotlin/Swift with distributed backends.
 * Concurrency & Async - Experience in multithreaded, event-driven systems.
 * System Engineering - Architecture design, performance optimization, system reliability improvements.
 * Experience with AOSP is great.
 * Wearables - Experience building wearable products (glasses, watches, MR headsets, etc).
 * C / Rust: Proficient system programming in either programming language.
 * AI/ML Engineering - LLM prompt tuning, evaluation, tool calling, and agent workflows.