Jobs Companies Scientific Systems Company, Inc. Sr. Autonomy Software Engineer II - MAGE

Über diese Sr. Autonomy Software Engineer II - MAGE Stelle bei Scientific Systems Company, Inc.

Scientific Systems Company, Inc. · Hybrid · Burlington, Massachusetts, United States

The Autonomy Research Engineer 2 conducts collaborative research, data analyses and software engineering, under the supervision of a project or task lead, supporting a group’s research and development objectives. Mission autonomy is the ability for autonomous agents or teams to conduct strategic decision-making and coordinated actions toward longer-term operational objectives through persistent world modeling, predictive simulation, and adaptive planning under uncertainty and adversarial conditions.

 

 Essential Functions: 

  • Conduct assigned and/or collaborative research, data analyses and/or software engineering activities as directed, that support technical and program objectives. 
  • Support the group’s business development activities by developing technical proposal content, supporting data analyses and/or software engineering, as needed, under the guidance of a proposal technical lead.  
  • Document and communicate technical results, data analyses, key findings, and takeaway  
    conclusions of research and development activities to internal audiences.  
  • Contribute to publications as needed. 
  • This role requires the Ability to sit or stand at a desk and work on a computer for prolonged periods of time. 
  • May require the ability to push/pull/lift up to 15 pounds.
  • Must be able to Obtain and maintain an active US DOD security clearance.

Requirements

Basic Qualifications: 

  • Bachelor of Science degree in Engineering, Computer Science, Applied Mathematics, or similar educational background, or equivalent experience and 3+ years of experience in related industry experience or Masters Degree and 1+ years of experience in a related field. 
  • Advanced experience in research software development with relevant programming skills in MATLAB/C++/Python. 
  • Experience with AI/ML/Autonomy software libraries. 
  • Experience with simulation, development and deployment environments. 

Preferred Additional Skills and Experience: 

  • Master’s of Science degree 
  • Experience with sensors and/or autonomous vehicles. 
  • Ability to identify, analyze, and creatively solve complex problems 
  • Ability to execute logical reasoning and decision-making skills 
  • Excellent verbal and written communication skills including technical writing experience 
  • Excellent organizational skills and attention to detail 
  • Demonstrated ability to work effectively as part of a team 

 

Benefits

  • Salary: $96,000 - $140,000 (Depends on Experience)
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Hybrid Work Schedule
  • Free Food & Snacks
  • Wellness Resources
  • Summer 9/80 work schedule
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Wie sich dieses Gehalt für Software Engineer vergleicht

Diese Stelle zahlt $118,000/yrunter der üblichen Spanne für Software Engineer Stellen.

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Über Scientific Systems Company, Inc.

Scientific Systems Company, Inc. is a leading developer of advanced technologies for mission planning and autonomy for the Aerospace and Defense industries. Founded in 1990 and based in Burlington, MA, SSCI invents disruptive technologies, develops revolutionary solutions, and builds trusted products for our customers’ most challenging missions. SSCI focuses on the creation of AI/ML-enabled capabilities to command, control, communicate with, and manage composable collections of intelligent agents, smart sensors, and autonomous platforms across all domains.

At Scientific Systems, we develop advanced technologies for navigation, mission planning and AI-enabled autonomy systems for the Aerospace and Defense industries. Our solutions enable unmanned systems across air, ground, maritime and space domains to implement Commander’s Intent, ensure mission effectiveness, and dramatically shorten operational timelines.

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