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Machine Learning & AI ADAS Applications Senior Staff Engineer

A leading technology innovator that pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Automotive

Description For Machine Learning & AI ADAS Applications Senior Staff Engineer

Qualcomm, a global leader in technology innovation, is seeking a Machine Learning & AI ADAS Applications Senior Staff Engineer to join their team in China. This role represents an exciting opportunity to work at the forefront of automotive AI and machine learning technology.

The position combines deep technical expertise in machine learning with practical applications in Advanced Driver Assistance Systems (ADAS). As a Senior Staff Engineer, you'll lead research in deep learning algorithms, conduct SOTA ADAS model performance benchmarking, and spearhead AI application integration. You'll play a crucial role in bringing cutting-edge AI solutions to mass production in the automotive industry.

The ideal candidate will bring strong software development skills, particularly in C++/Python/Java, along with deep knowledge of AI frameworks like TensorFlow, PyTorch, and ONNX. Your expertise should span various deep learning architectures including CNN, LSTM, RNN, Transformer, and LLM. Understanding of AI accelerator chip architecture and experience with MLPerf benchmark testing will be valuable assets.

At Qualcomm, you'll be part of a company that pushes the boundaries of what's possible in technology. You'll work alongside leading engineering and technology experts, with access to world-class resources and development opportunities. The company offers comprehensive benefits including health coverage, financial planning programs, mental health support, and continuous learning opportunities through tuition reimbursement and mentorship programs.

This role offers the chance to make a significant impact in the automotive AI sector while working for a company known for its technological innovation and employee development. If you're passionate about AI, automotive technology, and want to lead projects that will shape the future of autonomous driving, this position offers an excellent opportunity to advance your career while working on meaningful, cutting-edge technology.

Last updated 11 days ago

Responsibilities For Machine Learning & AI ADAS Applications Senior Staff Engineer

  • Deep Learning Algorithm research
  • SOTA ADAS model performance Benchmark
  • AI application integration
  • AI framework Integration
  • Leading team to complete ADAS project with partners for mass production
  • Provide technical expertise of software systems
  • Support business development through technical presentations
  • Product demonstrations
  • Design and development of customer specific requirements
  • Collaborate with cross-functional teams and customers

Requirements For Machine Learning & AI ADAS Applications Senior Staff Engineer

Python
Java
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field (MS preferred)
  • Good knowledge for software development and debug
  • C++/Python/Java programming experience
  • Familiar with AI frameworks like Tensorflow, Pytorch, ONNX
  • Familiar with machine learning and deep learning (CNN, LSTM, RNN, Transformer, LLM)
  • Knowledge of MLPerf benchmark testing
  • Familiar with major AI accelerator chip architecture
  • Good verbal and written communication skills in English
  • 3+ years experience with Programming Language (C, C++, Java, Python)
  • 3+ years experience with debugging techniques

Benefits For Machine Learning & AI ADAS Applications Senior Staff Engineer

Medical Insurance
Mental Health Assistance
Education Budget
  • World-class health coverage for employees and dependents
  • Financial planning programs
  • Emotional/mental health support
  • Wellbeing programs
  • Continuous learning and development programs
  • Tuition reimbursement
  • Mentorship programs

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