Embedded System Software Engineer

Pentangle Tech
Redmond, WA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) PHP (Programming Language) Data Analysis Android Software Development Unit Testing C++ (Programming Language) Code Review Serialization Linux Embedded C Protocol Buffers Python (Programming Language)
+14 more
Standard Sql Shell Script Software Engineering SQL Databases Data Logging Concurrency AI Coding Agents Backend Git Kotlin Bug Reporting C++14 Grpc Service Stack

Job description

We are seeking an experienced Senior Software Engineer with strong expertise in modern C++, Linux/Android, and AOSP/embedded Android development. This role requires an engineer who is comfortable working across the technology stack, from device-level native software and Android system services to backend services, telemetry, diagnostics, and data analysis.

Requirements

The ideal candidate has strong engineering fundamentals, a quality-first mindset, and the ability to independently own complex technical problems from investigation through implementation, testing, deployment, and production support., n \n

  • 10+ years of professional software development experience with modern C++ (C++17 or later). \n

  • Strong development experience on Linux and/or Android., * Strong unit-testing experience with gtest/gmock. \n

  • Solid understanding of multithreading, mutexes, concurrency, IPC, and shared state. \n

  • Backend programming experience in Hack/PHP, Python, Java, or Kotlin, with willingness to work regularly in Hack/PHP. \n

  • Strong SQL and data-analysis skills. \n

  • Experience with Python and shell scripting for automation. \n

  • Proficiency with Git, code reviews, cherry-picks, and multi-branch development/release workflows. \n

  • Strong written communication and ability to work independently. \n

  • Ability to work primarily during Pacific business hours, including flexibility for on-call handoffs and launch-critical activities. \n, * Telemetry, logging, or analytics pipeline experience, including protobuf, serialization, sampling, batching, and data uploads. \n

  • Android/Linux crash diagnostics experience with tombstones, minidumps, symbolication, bug reports, or log collection. \n

  • Backend development experience with Hack/PHP, Thrift/gRPC, or protobuf. \n

  • Experience developing dashboards, monitoring, and alerting for event or time-series data. \n

  • Android framework or application development using Java/Kotlin. \n

  • Experience supporting production services, including on-call, incident triage, monitoring, and incident follow-up. \n

  • Android/iOS companion-app or device-to-phone end-to-end automation experience. \n

  • Experience with performance benchmarking, memory analysis, and resource-constrained devices. \n

  • Practical experience using AI coding tools to accelerate engineering and test development. \n, n

A strong candidate will be a hands-on, full-stack systems engineer who can move comfortably between:

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Embedded C++ * Android/AOSP * IPC & System Services * Telemetry/Diagnostics * Backend Services * SQL/Data Analysis

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The engineer should demonstrate strong ownership, disciplined testing, proactive communication, and careful handling of sensitive devices, diagnostic, and user data.

Benefits & conditions

n \n

  • Design, develop, debug, and maintain C++17+ software on Linux and Android platforms. \n

  • Develop and troubleshoot AOSP/embedded Android components, including native services, AIDL/Binder IPC, system properties, SELinux, and Android build systems. \n

  • Build highly testable software using gtest/gmock, mocks, automation, and robust test strategies. \n

  • Develop thread-safe applications involving concurrency, IPC, shared memory, and synchronization. \n

  • Work across device and backend layers using C++, Hack/PHP, Python, Java, or Kotlin. \n

  • Use SQL to analyze large datasets, including joins, aggregations, and percentile-based analysis. \n

  • Create automation and engineering tools using Python and shell scripting. \n

  • Investigate device logs, crashes, telemetry, performance issues, and production failures. \n

  • Participate in code reviews, Git-based development, multi-branch releases, and production/on-call support. \n

  • Own technical issues end-to-end and communicate progress, risks, and blockers proactively. \n

  • Use AI-assisted development tools effectively for coding, testing, debugging, and engineering productivity. \n

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