Principal Systems Engineer I - Autonomy Systems

Posted 3 Days Ago
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Burlington, MA, USA
In-Office
188K-241K Annually
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Defense
The Role
Lead systems engineering for autonomy programs, defining architecture, requirements, interfaces, and performance metrics. Integrate software/hardware, oversee MBSE and M&S efforts, implement technology maturation and risk reduction, manage SEMP and demonstrations to deliver operational autonomy systems.
Summary Generated by Built In

The Principal Systems Engineer I – Autonomy Systems will be responsible for leading engineering and/or industry teams to meet the technical objectives of systems programs.

Scientific Systems is a leading developer of advanced technologies for navigation, mission planning and autonomy for the Aerospace and Defense industries. Founded in 1990 and based in Burlington, MA, Scientific Systems Company 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.

*Please be aware many of our positions require the ability to obtain a US DOD security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

Essential Functions:

  • Lead engineering and/or industry teams to meet technical objectives of systems programs of >$5M scope, demonstrating SSCI technology solutions at TRL 6 or higher. 
  • Contribute significantly to the successful capture of several mid-sized and large programs in AI, autonomy, or related advanced technology areas. 
  • Lead autonomy system architecture, software and hardware integration, test and evaluation, demonstration and delivery of operationally relevant systems to customers. 
  • Define and document system requirements, interfaces, and performance metrics. 
  • Lead development of and implement Technology Maturation and Risk Reduction plans. 
  • Apply MBSE processes and integrate M+S and Digital Engineering toolchains and practices for autonomy systems agile development. 
  • Develop, maintain, and facilitate compliance with a Systems Engineering Management Plan (SEMP), for systems engineering and technical project management. 
  • This role may require the ability to sit or stand at a desk and work on a computer for prolonged periods of time. 
  • May be required 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 or related fields, with 10+ progressive systems engineering and technical leadership experience, or Master’s degree and 8+ years of related experience or demonstrated expertise in a critical technology area.
  • Prior experience working with autonomy systems and software architecture.  
  • Experience leading advanced modeling and simulation efforts using AFSIM and MBSE using Cameo/MagicDraw. 

Preferred Qualifications:

  • Masters of Science degree or PhD 
  • Demonstrated ability to work effectively as part of a team 
  • Excellent verbal and written communication skills 
  • Ability to identify and creatively solve complex problems
  • Ability to execute logical reasoning and decision-making skills.

Benefits
  • Salary: $188,000 - $241,000 (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)
  • Paid Winter shut down
  • Hybrid work schedule
  • Summer 9/80 Work Schedule
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Open Kitchen (Free Food & Snacks)
  • Wellness Resources
  • Employee Stock Ownership Plan

Skills Required

  • Bachelor of Science in Engineering, Computer Science or related field with 10+ years progressive systems engineering and technical leadership experience, or Master's degree with 8+ years
  • Prior experience working with autonomy systems and software architecture
  • Experience leading advanced modeling and simulation efforts using AFSIM
  • Experience with Model-Based Systems Engineering (MBSE) using Cameo/MagicDraw
  • Ability to obtain and maintain an active US DOD security clearance
  • Experience leading engineering and/or industry teams to deliver systems (TRL 6+) on mid-to-large programs (> $5M)
  • Master of Science degree or PhD
  • Demonstrated ability to work effectively as part of a team
  • Excellent verbal and written communication skills
  • Ability to identify and creatively solve complex problems and apply logical reasoning and decision-making skills
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The Company
HQ: Woburn, MA
114 Employees
Year Founded: 1976

What We Do

Architects of Autonomy Noted technologies such as autonomy, artificial intelligence, machine learning and computer vision are rightfully touted for their enabling potential for national defense and scientific exploration. At Scientific Systems, we develop and holistically connect these technologies together to provide disruptive, offsetting capabilities for unmanned systems, enabling them to make intelligent decisions and collaborate across the domains of space, air, land, and sea. We’ve spent the past 40 years pioneering innovations, including advancements in mission autonomy, for all branches of the U.S. military, DARPA, NASA and more.

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