Hardware constraints jobs

AI Phone - On-device AI / ML Systems Engineer

Bjak · Posted Nov 4, 2026

Open

China

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AI Phone - On-device AI / ML Systems Engineer

Bjak · Posted Nov 4, 2026

Open

China

Apply with RefersoAI Apply on careers page

AI Phone - On-device AI / ML Systems Engineer

Bjak · Posted Nov 4, 2026

Open

Taipei, Taiwan, Taiwan

Apply with RefersoAI Apply on careers page

Responsibilities

Evaluate suitable open-weight and commercially available models for on-device execution.
Benchmark model performance on target mobile hardware.
Integrate models into Android applications and system services.
Optimize inference latency, memory consumption and power usage.
Evaluate quantization, compression and model distillation techniques.

Requirements

Nice to have: on-device LLMs
Nice to have: Qualcomm QNN
Nice to have: MediaTek NeuroPilot
Nice to have: ONNX Runtime
Nice to have: LiteRT

Skills

Python C++ML systems inference engineering model quantization performance optimization hardware constraints inference benchmarks

AI Phone - On-device AI / ML Systems Engineer

Bjak · Posted Nov 4, 2026

Open

India

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Engineer responsible for evaluating, benchmarking, and integrating on-device AI/ML models into Android applications and system services, optimizing performance and power usage, and developing hybrid local/cloud routing mechanisms.

Responsibilities

Evaluate suitable open-weight and commercially available models for on-device execution
Benchmark model performance on target mobile hardware
Integrate models into Android applications and system services
Optimize inference latency, memory consumption and power usage
Evaluate quantization, compression and model distillation techniques

Requirements

Nice to have: on-device LLMs
Nice to have: Qualcomm QNN
Nice to have: MediaTek NeuroPilot
Nice to have: ONNX Runtime
Nice to have: LiteRT

Skills

Python C++model quantization performance optimization neural network inference hardware constraints

AI Phone - On-device AI / ML Systems Engineer

Bjak · Posted Nov 4, 2026

Open

Seoul, Seoul, South Korea

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The mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination, and workflows with minimal prompting, focusing on on-device AI/ML systems.

Responsibilities

Evaluate suitable open-weight and commercially available models for on-device execution
Benchmark model performance on target mobile hardware
Integrate models into Android applications and system services
Optimize inference latency, memory consumption and power usage
Evaluate quantization, compression and model distillation techniques

Requirements

Nice to have: on-device LLMs
Nice to have: Qualcomm QNN
Nice to have: MediaTek NeuroPilot
Nice to have: ONNX Runtime
Nice to have: LiteRT

Skills

ML systems or inference engineering deploying and optimizing models Python C++neural network inference model quantization

AI Phone - On-device AI / ML Systems Engineer

Bjak · Posted Nov 4, 2026

Open

Remote, United Kingdom
Remote

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The role involves building proactive AI applications and devices that bring intelligence into daily workflows, focusing on on-device AI/ML systems.

Responsibilities

Evaluate suitable open-weight and commercially available models for on-device execution
Benchmark model performance on target mobile hardware
Integrate models into Android applications and system services
Optimize inference latency, memory consumption and power usage
Evaluate quantization, compression and model distillation techniques

Requirements

Nice to have: On-device LLMs
Nice to have: Qualcomm QNN
Nice to have: MediaTek NeuroPilot
Nice to have: ONNX Runtime
Nice to have: LiteRT

Skills

ML systems Inference engineering Python C++Neural network inference Model quantization Performance optimization

AI Phone - Hardware Platform / Mobile SoC Architect

Bjak · Posted Nov 4, 2026

Open

China

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Define hardware platform strategy and specifications for AI-native phones, evaluate SoC platforms, and work with ODMs to translate product requirements into hardware designs.

Responsibilities

Define overall hardware platform strategy and roadmap
Evaluate and compare mobile SoC platforms
Define hardware specifications covering CPU, GPU, NPU, RAM, storage, memory bandwidth and connectivity
Evaluate NPU capabilities and supported AI frameworks
Define hardware requirements for AI-native features

Requirements

Nice to have: Qualcomm Snapdragon
Nice to have: MediaTek Dimensity
Nice to have: AI accelerator
Nice to have: NPU architecture
Nice to have: on-device AI workloads

Skills

smartphone hardware architecture mobile SoC architecture CPU GPU NPU memory subsystem hardware acceleration