Embedded Software Engineer II (Computer Vision, Robotics)

Must be a US Citizen

100% on site in San Diego, CA

Some travel within the Continental U.S. may be required

Fulltime Direct Employment
W2 with full benefits

The US base salary range for this full-time position is $102,708 - $145,530 bonus and benefits. Salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Summary

The Video Processing and Tracking Engineer II has the opportunity to work with engineering development and R&D to develop a variety of innovative capabilities - computer vision detection, classification, localization, and tracking solutions focused on implementation for defense and commercial applications. These development efforts are generally small focused design teams which will require one to use a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. This position works on a variety of stages of development including requirements definition, concept design, prototyping, detailed design, test and evaluation, and validation and verification testing.

• Develops Video Processing Chain for Computer Vision (CV) on embedded systems to enhance the autonomy of Unmanned Aircraft Systems (UAS, UAV), and computer vision and machine learning systems architecture/hardware and integration. Develops FPGA firmware, Ubuntu ARM Linux software, and/or GPU accelerated algorithms
• Codes and tests software to support the integration of machine learning and visual tracking into aircraft (such as autopilots, payloads, or other functional components) or other robotic systems
• Supports Implementation of machine learning and visual tracking systems and validate designs through a series of designed experiments. Supports video processing development as it applies to autonomy, tracking, UAS operation, object identification, and control systems
• Supports development of computer vision & machine learning algorithms capable of tracking objects-of-interest from a group 1 UAV across a wide range of viewpoints using existing gimballed camera payload
• Conducts engineering analysis & trade studies for determining appropriate algorithms for specific products
• Develops software for products using established software development practices & configuration control
• Supports transition of development projects to production; Support flight test operations
• Supports design reviews as called upon by product design team and the development of system requirements, system test plans, and assist in validation testing
• Works on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. Exercises judgment within defined procedures and practices to determine appropriate action
• Other duties as assigned

Basic Qualifications (Required Skills & Experience)

• Bachelor's degree in Robotics, Computer Science/Engineering, Electrical Engineering, Aerospace, Mechanical Engineering or related field is required or equivalent combination of education, training, and experience
• Minimum 2 - 5 years' relevant engineering experience
• Experienced developing Visual Tracking Software Video Processing Chains
• Experienced with Python, C, C , and OpenCV
• Experienced Managing Research Program Flight Tests and demonstrations
• Demonstrated understanding of Visual tracking development for military or commercial applications
• Demonstrated understanding of Feedback and Controls performance tuning mechanism
• Some intrastate travel and other travel within the Continental U.S. may be required (up to 30%), as well as some weekend work
• Embedded ARM Linux software, GPU/ CUDA, Video Pipeline, C , Python, CV

Other Matrixed Skills

• Proficiency with a deep learning framework such as TensorFlow or Keras
• Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
• Expertise in visualizing and manipulating big datasets
• Proficiency with OpenCV; Familiarity with Linux
• Ability to select hardware to run an ML model with the required latency
• Computational statistics; Mathematical optimization
• Data mining; Exploratory data analysis; Predictive analytics

Preferred Qualifications (Desired Skills & Experience)

• MS/Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Aerospace, Mechanical Engineering is preferred
• Research or industrial experience is preferred. Hands-on design/build experience is desired; UAV, R/C aircraft or other lightweight miniature robotic systems
• Experience with UAV or R/C aircraft or other lightweight miniature robotic systems desired
• Research or industrial experience in the development of visual tracking desired
• Experience employing GPU's, DSPs, or FPGA to accelerate video processing applications under Linux/ARM preferred
• Experience modifying and compiling Ubuntu Linux Kernels for embedded ARM systems preferred
• Experience developing drivers for Linux/ARM and Robot Operating System (ROS) preferred
• Experience with Matlab, Robot Operating System (ROS) & Ubuntu on Nvidia Jetson and/or Xilinx Zynq preferred
• Demonstrates familiarity with ROS (Robot Operating System)
• Has respect for-profit and strives to meet project schedule and budget. Complies with company's policies and procedures
• Demonstrates strong verbal and written communication skills
• Has effective problem-solving, analytical and interpersonal skills. Is a team player and collaborates effectively
• Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties
• Displays strong initiative and drive to accomplish goals and meet company objectives
• Takes ownership and responsibility for current and past work products
• Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company
  MOSA/FACE, AI, ML
• Secret or Top Secret clearance, or the ability obtain a clearance is desired.

Physical Demands

• Ability to work in an office and manufacturing environment (Constant)
• Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)

Equal Opportunity/Affirmative Action

We are committed to hiring and retaining a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, marital status, age, national origin, veteran status, disability status, or any other protected class. EEO/AA/MFDV

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