Job Description: Top 11 Required Skills
- Proficiency in C/C++ and Python is a must.
- Proficiency in cross-platform (Android, Linux, Windows, QNX) development is a must.
- Experience with video streaming pipeline like ffmpeg, gstreamer or Android multimedia stack.
- Experience with embedded systems like Ubuntu ARM, embedded Linux, ROS, QNX.
- Good understanding of Deep Learning workloads.
- Hands-on experience in computer vision application development such as detection, recognition, tracking, segmentation, AIGC, etc.
- Excellent software design, problem-solving, and debugging skills.
- Experience with *** platform is a plus.
- Experience with on-device deep learning model deployment is a plus.
- Experience with AI inference pipeline and model optimization with ARM/DSP/GPU/NPU is a plus.
- Excellent communication and teamwork skills.
Technologies:
Keywords:
- Embedded Systems and Programming
- Linux and Android Operating Systems
- Multimedia Subsystems and Codecs
- Perl or Python
- Software Development
Education Requirement:
- Master's degree or higher in CS, EE or equivalent field.
Required Years Of Experience:
- 5+ years working experience.
Physical Requirements:
- Push Max Weight Limit = 0
- Pull Max Weight Limit = 0
- Lift Max Weight Limit = 0
- Forklift Required (Y/N): N
Driving Requirements:
- Are there driving responsibilities no matter how minimal with this role?
- (If Yes) How many hours per week? n/a
- (If Yes) Select type of vehicle use below: n/a
- Rental Car, *** Vehicle, Personal Vehicle
- Note for suppliers – Please ensure your candidate understands/agrees to your specific reimbursement requirements for any out-of-pocket expenses.
Job Overview:
- 's Multimedia R&D Group is seeking candidates for its Computer Vision team in San Diego, CA. The team develops new algorithms, architectures, and systems for the computer vision pipeline running in an embedded systems environment targeted primarily to devices operating in mobile, XR, automotive, and IoT environments. The candidate is expected to work on the development of the computer vision pipeline, integration, and deployment of computer vision systems on multiple *** platforms for demo and production.
- You will implement AI inference pipeline with SOTA model on different AI accelerators and OSes.
- You will optimize Client workloads running on different *** AI engines.
- You will also partner with the BU teams to integrate model inference pipeline in our software stack.
- You will support the model preparation, optimization, and develop custom ops with *** AI engines.
Comments for Suppliers:
- Rounds of interviews to be expected: 2-3
- Interview Method: Video conference
- Work Location Requirement: 80% Onsite 20% work from home (must be local near the office address below)
- Work Address: 10160 Pacific Mesa Blvd San Diego, CA 92121
- *** Building: AV
- Shift: 1
- Workdays: Mon-Fri
- Shift Time: 830-5:00pm PST
- Weekly / Daily Expected Hours: 40.0 / 8.0
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