Futurewave Systems, LLC.
Futurewave Systems, LLC. is hiring : User Experience Researcher in San Dimas
Futurewave Systems, LLC., San Dimas, CA, United States, 91773
By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work.
At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility.
Your Mission is Ours.
Lockheed Martin Space in Palo Alto, CA is seeking a full-time Senior Autonomy / AI Researcher. In this role, you will support ongoing programs and internal research and development efforts, enabling project advancement and emerging technologies.
What will you be working on?
Performing scientific experiments, investigations, observations and related research studies
Developing theories for understanding, characterizing, and organizing natural phenomena into a systematic and significant pattern
Participating in intellectual property evaluations and development of patent applications
Instructing and teaching junior level engineers / researchers
We are looking for someone who is excited about developing new research ideas in autonomy and robotics. This role will work on deploying AI and Autonomy algorithms to spacecraft and robotics. Ideally, you will have this experience in a research environment, and have a history of publications supporting your expertise.
You are someone with strong technical writing, presentation, and overall communication skills for reports, proposals, technical presentations, and interaction with customers, team members, suppliers, and academic / industry collaborators.
You would typically have a Bachelor's degree and 5 - 8 years of professional experience, a Master's and 3 - 6 years, or a PhD and 0 - 3 years.
Desired skills
Current clearance
Research Experience in causal modeling, causal inference, and causal graphs
Research Experience in reinforcement learning
Research Experience in spacecraft autonomy algorithms
Established strong relationships with customers from DOD Research Labs, AFRL, DARPA, or NASA Research Centers or similar is a plus
Expert in the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Deep Learning, Machine Learning) to sensing, perception, multi-unit planning or command and control of autonomous systems
Proven mechatronic experience as demonstrated by a strong publication record and development of working system prototypes
Experience using Clearpath Robotics or similar
Experience using DJI Drones or similar
Complex control of manipulators, high-degree of freedom coordination and advanced mobility technologies experience
Experience implementing augmented and virtual reality technologies for robotic applications
Experience with filtering, estimation, and tracking (Kalman Filters, Multi-Target Tracking) is a plus
Experience implementing software for scientific and / or real-time image or signal processing applications, computer vision, 3D data processing
Proficiency in the following programming languages: C++, Python or similar
Experience with Robot Simulation tools like Gazebo, RVIZ or similar
Experience using Matlab and Simulink
Experience with COTS sensing modalities, RF, SAR, LIDAR / LADAR, Radar, Computer Vision, Vibration and fusing modalities for perception and inference
Knowledge of sensing, planning and algorithms related to SLAM, Autonomous Driving, Manipulation, Rendezvous, Proximity Operations and Docking
Experience with Real-time processing systems, FPGAs, microcontrollers, measurement and acquisition hardware
Experience with, and knowledge of Systems Engineering aspects of requirements decomposition, testing and Verification and Validation, at the systems level is a plus
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