Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
Home View All Jobs (2,276,692)

Job Information

Qualcomm Auto AI System Engineer in Chengdu, China

Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Software 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 Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Overview

Responsible for neural network development of the development in ADAS/AI system domain, focusing on automotive neural network functional, developing cutting-edge ADAS functions and holistically optimizing performance/accuracy on Qualcomm Snapdragon Ride platforms. Enhancing existing system level solutions and creating new architectures based on the latest and greatest neural networks emerging from the research community and optimize them for next generation system and platforms.

Minimum Qualifications

We are looking for experts in self-discipline and continuous learning with knowledge-based qualifications:

3+ years C/C++ and Python programming experience on Linux or other embedded system

Familiar with popular deep learning frameworks, especially Pytorch and TensorFlow.

Good at software development with excellent analytical, development, and problem-solving skills.

Hands-on experience with deep learning network design and implementation

Understanding mathematics in DL/ML and can solve practical problems.

Practical knowledge for NN training, including but not limited to dataset augmentation, training tech, issue triage and evaluation report.

Excellent communication skills in both Chinese and English (verbal, presentation, written)

Ability to collaborate across a globally diverse team.

Preferred Qualifications

  • Follow the trend of SOTA ADAS neural network, understanding of popular architecture in computer vision involving lidar/radar and camera sensors, recreating algorithms under various frameworks like mm Detection/3D/Segmentation or detectron2.

  • Good Experience in handling practical autonomy driving cases using ML or DL approaches, include but not limited to DNN, Transformer, Prediction, Tracking.

  • Familiar with classic operator algorithms and be able to optimize the post-training model, especially in ONNX format.

AND/OR

  • Experience in system level neural network improvement, including light-weighted model tuning, low-precision performance enhancement, Hardware-awareness model design/finetune, etc.

  • Familiar with multiple neural network engine, e.g. TensorRT, HiAI, OpenExplorer, QNN, etc. architectural understanding to the hardware-software design and adaptation.

Published/Accepted paper in high-ranking conferences, e.g. CVPR/ICCV/ECCV is a plus.

Education Requirements

Bachelor's degree or higher in Engineering, Information Systems, Computer Science, or related field.

All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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 (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification

DirectEmployers