Senior Engineer Machine Learning

1 Hour ago • 3-5 Years

Job Summary

Job Description

The Senior Engineer Machine Learning will design, develop, and optimize advanced AI models such as CNN, NLP, VLM, and LLM for deployment on device platforms like Intel, NVIDIA, Ambarella, and Hailo. The role involves model conversion, adaptation using frameworks like TensorFlow/TensorFlow Lite, PyTorch, ONNX, and TensorRT. The engineer will also develop custom kernels and operators, optimize model performance, collaborate on hardware-software co-design, and provide technical expertise and documentation. The responsibilities include ensuring compatibility and performance of AI models and integrating AI solutions seamlessly, contributing to a safer future.
Must have:
  • 3-5 years of hands-on experience in AI model development.
  • Expert in using TensorFlow, PyTorch, and conversion tools.
  • Strong understanding of AI model architectures.

Job Details

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. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.


Department Overview

Vietnam R&D, AI Researcher


Job Description

  • Design, develop, and optimize advanced AI models (e.g., CNN, NLP, VLM, LLM) for deployment on device platforms such as Intel, NVIDIA, Ambarella, and Hailo.

  • Perform model conversion and adaptation using frameworks like TensorFlow/TensorFlow Lite, PyTorch, ONNX, and TensorRT, ensuring compatibility and performance.

  • Develop and fine-tune custom kernels and operators with low-level programming (C/C++, CUDA) to maximize efficiency.

  • Collaborate on hardware-software co-design initiatives to integrate AI solutions seamlessly.

  • Optimize model performance, latency, and power efficiency on device.

  • Provide technical expertise, detailed documentation, and insights to support cross-functional teams.

#LI-MM8


Basic Requirements

  • Bachelor's/Master's degree in Computer Science, Machine Learning, or any related fields.

  • 3- 5 years of hands-on experience in AI model development, optimization, and deployment.

  • Expert in using framework TensorFlow, PyTorch, and conversion tools (ONNX, TensorRT, OpenVINO).

  • Strong understanding of AI model architectures (CNN, NLP, VLM, LLM) and proficiency in training and evaluation techniques.

  • Proven experience with hardware architectures and optimization techniques.

  • Creative, proactive, and independence in learning and problem-solving.

  • Outstanding analytical and problem-solving skills.

  • Team player.

  • Fluent in verbal and written in English language.


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.

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About The Company

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. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses.

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