Machine Learning & AI ADAS Applications Senior Staff Engineer

1 Month ago • 4-6 Years • Research Development

Job Summary

Job Description

As a Senior Staff Engineer at Qualcomm China, you will be involved in deep learning algorithm research, benchmarking SOTA ADAS model performance, AI application integration, and AI framework integration. You will lead a team to complete ADAS projects with partners for mass production. The role involves software development and debugging, utilizing C++, Python, and Java. You will need to be familiar with AI frameworks like TensorFlow, PyTorch, and ONNX, and have a deep understanding of deep learning concepts. Additionally, experience with major AI accelerator chip architectures and project management is a plus.
Must have:
  • Good knowledge of software development and debug.
  • C++/Python/Java programming experience.
  • Familiarity with AI frameworks like Tensorflow, Pytorch, ONNX.
  • Knowledge of machine learning and deep learning.
  • Experience with major AI accelerator chip architecture.
  • Good verbal and written communication skills in English.
Good to have:
  • Experience as team leader for project management.
  • Experience with ADAS project.

Job Details


Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Software Applications Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Application Engineer, you will provide technical expertise of software systems through technical presentations in support of business development, product demonstrations, design and development of customer specific requirements, commercialization, and maintenance of Qualcomm products. Qualcomm Engineers collaborate with cross-functional teams and customers to address questions, issues, debugging, or troubleshooting regarding software systems and applications.

Main Responsibilities

Deep Learning Algorithm research, SOTA ADAS model performance Benchmark, AI application intergration, AI framework Intergeration.
Leading team to complete the ADAS project with partners for mass production.


Skills / Experience Required 

1. Good knowledge for software development and debug.
2. C++/Python/Java programming experience.
3. Be familiar with one or more AI frameworks like Tensorflow, Pytorch, ONNX.
4. Be familiar with major machine learning and deep understanding for deep learning like CNN, LSTM, RNN, Transformer, LLM, know how for computing benchmark test like MLPerf.
5. Be familiar with major AI accelerator chip architecture , like GPU card or data center experience.
6. Good verbal and written communication skills in English.
7. Experience as team leader for project management is a plus
8. Experience with ADAS project is a plus
 

Education Requirements      Degree  Major, GPA, Courses

BS in Electrical Engineering, Microelectronic, Information Systems, Computer Science, Maths or related field, MS preferred.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.

• 3+ years of experience with Programming Language such as C, C++, Java, Python, etc.
• 3+ years of experience with debugging techniques.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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