Principle Machine Learning Engineer (Computer Vision & AI Algorithms)

Job description

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations.

Connect with a career that matters, and help us build a safer future. Department Overview Our R&D Center in Vietnam is a strategic AI Hub. We are building a unified, high-performance software foundation that powers Intelligent Edge Devices—from smart cameras to dedicated AI box processors—bringing server-class intelligence to the edge.

Job Description

Pipeline Engine Architecture: Architect a modular, high-throughput Video & AI Pipeline Engine . Design the framework for dynamic graph construction (DAG) where AI models, logic nodes, and image processing blocks can be assembled and executed efficiently.

Heterogeneous Resource Orchestration

Design the scheduling logic to balance workloads across CPU, GPU, DSP, and NPU . manage critical system bottlenecks such as PCIe Bandwidth , Memory Bandwidth, and Thermal constraints to prevent system stalls.

AI Optimization Strategy

Define the architectural support for Model Quantization (INT8/FP16) and Network Pruning . Ensure the engine can natively handle optimized model formats, managing the trade-off between inference speed, memory footprint, and accuracy.

Memory & Data Flow Design

Architect zero-copy data transport mechanisms (DMA, Shared Memory, Ring Buffers) to pass high-resolution video frames and tensor data between pipeline stages without CPU intervention.

Scalability & Abstraction

Create a hardware-agnostic Abstraction Layer (HAL) that allows the engine to scale from low-power cameras to high-performance AI processors with minimal code changes. #LI-MM8 #LI-onsite"

Basic Requirements System Architecture

Mastery of Modern C++ (14/17/20) and architectural patterns for high-concurrency, real-time systems. Deep understanding of Producer-Consumer models, Lock-free queues , and multi-threaded synchronization.

AI Model Optimization

Strong knowledge of techniques to reduce model complexity: Quantization (PTQ/QAT) , Weight Pruning , and Knowledge Distillation . Experience integrating these optimized models into C++ runtimes (e.g., TensorRT, SNPE/QNN, OpenVINO).

Hardware Intimacy

Deep understanding of SoC architectures (Qualcomm, Ambarella, NVIDIA). Ability to analyze how Cache Coherency , Bus Arbitration , and Memory Controllers impact AI performance.

Profiling & Analysis

Expert ability to use system profilers (e.g., Perf, eBPF, Nsight Systems ) to visualize the "Critical Path" of the pipeline and optimize instruction-level performance.

Pipeline Frameworks

Experience designing or heavily customizing media pipelines (similar to GStreamer, MediaPipe, or DeepStream).

Education

Bachelor’s Degree or higher in Embedded AI, Computer Science, Computer Engineering, or related technical fields.

Experience

10+ years of industry experience in Embedded Software Architecture or High-Performance Computing. Proven track record of designing complex software engines for Video Processing, Computer Vision, or Autonomous Systems. Experience acting as a System Architect , making critical decisions on resource allocation, memory management, and hardware selection. Travel Requirements None Relocation Provided None Position Type Experienced Referral Payment Plan Yes EEO Statement Motorola Solutions is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world.

If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.