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PDS Tech Inc Software Engineer in Littleton, Colorado

PDS Tech, Inc. is seeking a Software Engineer, in Littleton, CO.


Summary Description:

  • The Autonomy/Artificial Intelligence Machine Learning (A/AI ML) Software Engineer is responsible for developing, integrating, and deploying autonomy and

  • artificial intelligence algorithms for mission systems and production and maintenance operations.

  • Translates requirements and develops code, determining appropriate software methods, training system to recognize patterns to perform specific functions. Supports the technology development life cycle from requirements generation through development, integration, scenario development and modeling, testing and debugging.

  • Supports research and development for prototyping of autonomous systems.

Key Responsibilities:

• Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls,

etc. functionality in LM products and platforms

• Translates requirements and applies requirements to development code, integrating autonomy, AI or

machine learning algorithms to LM products and platforms

• Determines software methods to best acquire and execute knowledge

• Implements algorithms into software to train systems to recognize patterns and perform specific functions

• Responsible for various phases of developing and maintaining autonomy software from requirements

generation, software design and development to integration, testing, troubleshooting and debugging, and


• Review test outcomes, conducts troubleshooting, and works to debug issues

• Develops human-machine interface scenarios, breaking missions into tasks

• Documents interface requirements and implements human-machine interfaces

• Interfaces with other teams involved the development lifecycle for perception, mission and motion

planning, simulation and modeling, testing, etc.



• B.S. degree in computer science, machine learning, artificial intelligence, robotic systems, mathematics, physics, or closely related STEM discipline

• Experience in machine learning frameworks and deep learning toolsets (eg. TensorFlow PyTorch, Caffe, Keras, etc.)

• Experience designing and implementing ML techniques aimed at solving specific problems

• Experience with applications in supervised learning (eg. classification, regression, etc.), unsupervised learning (eg. clustering, dimension reduction, generative modeling, etc.) and reinforcement learning (eg. model-based or model-free methods)

• Experience working with analyzing large scale data from a variety of sources and applying statistical methods

• Experience with programming languages (eg. Python, C++, Java, MatLab, CUDA, etc.) and ability to learn and transition to new programming languages as needed

• Experience training and evaluating Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and/or Recurrent Neural Networks (RNNs)

• 3+ years applicable experience


• M.S. degree in computer science, machine learning, artificial intelligence, robotic systems, mathematics, physics, or closely related STEM discipline

• Experience with CNN model generation, RNN model

• Experience with signal processing, computer vision (including OpenCV)

• Experience with robotics (including ROS)

• Experience with planning algorithms

• Knowledge of classical AI techniques

• Experience with modeling and simulation on CPU and GPU architectures

• Solid understanding of testing planning and procedures including validation and verification of system


• 6+ years applicable experience

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.