R&D Software Engineer

UtopiaCompression Corporation (UC), based in Los Angeles, CA is a High-Tech Company with considerable expertise in intelligent software solutions. UC develops cutting edge technologies:
• Computer vision and machine learning for Unmanned Aircraft, maritime surveillance, affective computing, robotics
• Planning and control for autonomous systems
• Tactical wireless communication networks
• Human Computer Interaction for autonomous systems
• Deep Neural Networks based Intelligence
• Biomedical signal processing and data mining
• Intelligent Tutoring Systems

UC offers a challenging and exciting environment to work on high-risk high-reward technologies with the potential to bring in transformational changes to state-of-the-art.

UC is seeking a strong C++ R&D Engineer to support research and product development in multiple areas, including computer vision, machine learning, controls and estimation applications for the air and maritime domains. This role involves the implementation of state-of-the-art machine learning algorithms on CPUs as well as GPUs, SoCs, and other embedded platforms. The candidate may be required to aid in research, analysis, and simulation studies, documentation, system integration, and testing.

Basic Requirements
• BS/MS/PhD in Computer Science or Electrical Engineering
• Strong programming skills in C++
• Expertise in computer vision and machine learning
• Proficient with Linux environments

Desired Expertise/Experience (Any one from below)
• Proficiency in other programming languages: Python, Matlab
• Experience with libraries such as Boost, Eigen, HDF5, OpenCL
• Experience designing and developing real-time software architectures
• Experience with embedded platforms
• Hands-on experience with EO, IR, INS, IMU, GPS sensors

UC Benefits
1. Competitive compensation package
2. Fully paid for health care benefits
3. Relocation, if applicable
4. Paid vacations and sick leave allowances
5. Company stock options

To apply, send your resume to: innovate@utopiacompression.com with the job title as the subject.
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