Full-Time

Manager – Autonomy Robotics

AeroVironment

AeroVironment

501-1,000 employees

Unmanned aircraft systems supplier

Robotics & Automation
Hardware
Aerospace

Junior, Mid

Remote + 2 more

Required Skills
Python
Tensorflow
R
Data Structures & Algorithms
Keras
MATLAB
Pandas
C/C++
Computer Vision
Linux/Unix
Data Analysis
Requirements
  • MS/PhD Degree in Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering is required or equivalent combination of education, training, and experience
  • Prior management experience, including with recruiting and defining standards for software development within relevant industry
  • Experience in two or more areas: autonomous control, optimization under uncertainty, route planning, trajectory optimization, autonomous decision making, collaborative autonomy, cognitive information processing, probability theory, obstacle avoidance, bio-inspired autonomy, perceptual autonomy, autonomous mission planning
  • Demonstrated Technical leadership experience
  • Research or industrial experience in the development of collaborative autonomous robotic systems
  • Demonstrated ability to trouble-shoot complex systems
  • Experience Managing Research Program Flight Tests and demonstrations
  • Experience in a Matrixed organization
  • Exposure to Computer vision and machine learning systems architecture/hardware and integration
  • Ability to Process or interpret sensor data or signals or results
  • Ability to investigate Avionics or Sensor peripherals, such as welders, controllers, or other equipment to design software based Electro-Mechanical systems
  • Familiarity with C/C++ and Matlab required
  • Familiarity with office software and computer-based productivity tools
  • Excellent interpersonal written and oral communication skills. Strong listening, questioning, clarifying and summarizing skills to effectively communicate in one-on-one and group settings
  • Has respect for profit and strives to meet project schedule and budget
  • 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
  • Design/build experience is desired; UAV or R/C aircraft or other lightweight miniature robotic systems
  • Successful government research proposal experience a plus
  • Familiarity with Python or ROS (Robot Operating System) a plus
  • An understanding of Control Theory and Transform functions helpful
  • Exposure to Guidance Navigation & Control Systems along with Modeling Simulation & Control helpful
  • Exposure to Model-Based Systems Engineering helpful but not required
  • Demonstrates strong leadership and champions the process of change and promotes a culture of quick adaptation while helping team deal with effects of change
  • Acknowledges how business unit level goals meet overall organizational objectives and works in a manner to meet or exceed expectations
  • Uses vision to think beyond the immediate situation, explore multiple potential paths, and adapt decision-making style based on the situational circumstances
  • Inspires, motivates and empowers people to deliver organizational goals, while also delivering value back to employees
  • Brings organizational values to life using personality, uniqueness and the creation of a shared vision
  • Champions the process of change and promotes a culture of quick adaptation while helping others deal with the effects of change
  • Demonstrates the ability to develop and maintain internal and external trusting, professional relationships
Responsibilities
  • Develop robotic autonomy algorithms capable of making robust decisions for planning and control in uncertain, dynamic environments multi-vehicle operations using state-of-the-art techniques from academia and industry
  • Write and test software to support the integration of autonomy algorithms into aircraft (such as autopilots, payloads, or other functional components) or other robotic systems
  • Design and prototype autonomous systems and validate designs through a series of purpose-designed experiments
  • Perform design and analysis tasks using AeroVironment and industry developed tools
  • Writes system requirements, system test plans, and assist in validation testing
  • Trouble-shoot complex systems from a multidisciplinary (hardware and software) perspective
  • Support flight test operations, periodic travel will likely be required in support of testing equipment at approved flying locations
  • Perform a variety of engineering support activities on R&D projects
  • Document work and assist with the transition of new capabilities, technologies and prototypes into a production development environment
  • Conduct/support design reviews; Develop hiring plans to meet company needs
  • Frequently interacts with subordinate supervisors, customers, and/or functional peer group managers, normally involving matters between functional areas, other company divisions or units, or customers and the company
  • Other duties as assigned

AeroVironment’s mission is to secure lives and advance sustainability through transformative innovation. The company is committed to the development of unmanned aircraft solutions and systems to provide their customers with a fresh vantage point, positioning them to see the world with new eyes and extending their reach beyond the line of sight.

Company Stage

IPO

Total Funding

$75.9M

Headquarters

N/A

Founded

1971


Benefits

Health, Dental, & Vision

Health Savings Account

401(k) Account

Alternative Work Schedule

Educational and Tuition Assistance Programs

Employee Assistance Program

Sick Leave Donation

Time Off

Travel Assistance

Company Sponsored Events

INACTIVE