Radar Data Processing Software Engineer

4 days ago

Lahore, Punjab, Pakistan Virtual Force Inc. Full time
Position Details: Radar Data Processing Software Engineer

Location: Lahore, Punjab

Openings: 1

Salary Range:

Description:

Virtual Force Inc. is a technology accelerator platform that designs, develops and delivers next-gen digital products and solutions. For over a decade, we have been trusted to provide Advisory, Innovation, Design & Engineering services to leading enterprises, digital agencies, and startups.

Job Description

Duties & Responsibilities

  • Do requirement analysis and software design for high performance, latency constrained, parallel processing of data processing algorithms over CPU/GPU.
  • Port the data processing chain for radars and multi-sensor systems from MATLAB to GPU/CPU for real time implementation.
  • Design, implement, test, and evaluate the multi-target tracking framework for multi-sensor systems over CPU/GPU.
  • Work independently and in a team to design software architecture and data exchange protocols to implement, test, and evaluate complex data processing and data fusion algorithms in CUDA, C/C++.
  • Convert user requirements to software specifications.
  • Document the design and implementation of processing algorithms.
  • Upgrade, integrate and test data processing blocks in the real time processing chain of multi-sensor systems.
  • Develop test plans and participate in field measurement campaigns to collect real data and test real time implementation of the data processing algorithms over real field data.
  • Participate in field trials to verify conformance of ported algorithms to system specifications.
Job Requirements
  • Bachelor's or Master's in Computer Science.
  • 3+ years of experience.
  • Solid background in computer architecture, software architecture, and optimization techniques for real time implementation of complex algorithms.
  • Solid background in parallel processing and CUDA programming.
  • Hands-on experience in designing software architecture and implementing algorithms over custom embedded systems including CPU, GPU, and microcontrollers.
  • Working experience in C/C++ based real-time implementation.
  • Working experience in CUDA programming.
  • Working experience in microcontroller programming.
  • Working experience in project management and systems engineering of technology development projects.
  • Motivated to learn and acquire new skills.
  • Mentor technical team members and new trainees.
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