Senior iOS Engineer — Real-Time On-Device Translation

Dev Technology

Reston (VA)

On-site

USD 100,000 - 160,000

Full time

5 days ago
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Benefits offered by this job

Flexible time-off policy
Remote work availability for eligible
Tuition reimbursement
Health plans with dental and vision
401K matching

Job summary

Dev Technology seeks an iOS Engineer to build an on-device real-time translation platform for federal work. You’ll own the iOS app architecture, integrate Core ML/ONNX/WhisperKit, and optimize audio pipelines using AVAudioEngine and Swift concurrency.

Expect collaboration with security/compliance teams and production-ready releases for devices with limited memory. Requirements include 8+ years shipping iOS apps in Swift, experience with ML frameworks, and a background URLSession.

Qualifications

  • 8+ years shipping production iOS apps in Swift.
  • Direct experience with AVAudioEngine or AudioUnit at the hardware callback level.
  • Experience integrating ML frameworks into iOS apps (Core ML, ONNX, TensorFlow Lite).
  • Memory and performance optimization on constrained devices.
  • Experience with background URLSession and resilient download/upload systems.
  • Comfort with multi-module Swift packages and testable service layers.
  • Eligible for security/compliance work in a federal environment.

Responsibilities

  • Own iOS application architecture, performance, memory management, and releases.
  • Integrate on-device ML inference frameworks and manage their lifecycles.
  • Maintain real-time audio pipeline with AVAudioEngine and VAD.
  • Ensure Swift concurrency safety on 6GB devices.

Education

Bachelor's degree in Computer Science or related field
8+ years shipping production iOS apps in Swift

Tools

Core ML
ONNX Runtime
WhisperKit
TensorFlow Lite
AVAudioEngine
AudioUnit
Instruments

Job description

Dev Technology seeks an iOS Engineer to build an on-device real-time translation platform for federal work. You’ll own the iOS app architecture, integrate Core ML/ONNX/WhisperKit, and optimize audio pipelines using AVAudioEngine and Swift concurrency.

Expect collaboration with security/compliance teams and production-ready releases for devices with limited memory. Requirements include 8+ years shipping iOS apps in Swift, experience with ML frameworks, and a background URLSession.

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