Jobs Companies Scientific Systems Company, Inc. Senior Software Engineer II - Mission Solutions

Über diese Senior Software Engineer II - Mission Solutions Stelle bei Scientific Systems Company, Inc.

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

SSCI Solutions Division is looking to hire a Senior Software Engineer to support software development and test its AI-powered, autonomy software. The successful applicant will be responsible for working with a team to develop software for advanced robotics programs relating to autonomous flight systems and swarm collaboration. The position will also be responsible for building simulation environments for demonstration and testing of autonomous software.

 

Essential Functions:

  • Develop advanced software for multi-vehicle autonomy for complex, contested environments.
  • Provide relevant technical expertise as part of a team to design, implement, and test autonomy software systems for embedded uncrewed multi-vehicle autonomy.
  • Develop and run simulations for autonomous software.
  • Support presentation of technical results to internal and external customers.
  • Support other company initiatives and programs.
  • This role may require periodic travel.
  • Must be able to obtain and maintain a US DOD Security Clearance.

Requirements

Basic Skills:

  • Bachelor’s degree (or higher) in Software Engineering, Math, Statistics, Engineering, Physical Science, Operations Research, or Data Science.
  • 5+ years of experience with modern C++, CMake, Git and software practices including dockerized development, CI/CD workflows. 
  • Experience in software development of autonomy and AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed Systems Software
  • Experience with Linux-based development environments and embedded platforms such as the Nvidia Jetson
  • Experience with modern software development tool chains and processes (Agile, /Gitlab/Github, Confluence/Jira, , , and automated test methodologies, etc.)

Preferred Skills and Experience:

  • Must be able to effectively communicate orally and possess technical writing skills.
  • Must be able to work effectively as part of an integration-focused development team.
  • Desired: Familiarity with DoD or other common robotics and datalink architecture standards (especially OMS/UCI and AFSIM, but also FACE, DDS, ROS, STANAG 4586, J-Series, UMAA etc).
  • Desired: Familiarity with Python and Conan package manager
  • Desired: Familiarity with AI robotic navigation and decision algorithms – path planning (A*, RRT), schedule optimization (Simulated Annealing, Genetic Algorithms, Tabu Search), distributed coordination algorithms
  • Experience working on DOD projects

 

 

Benefits

  • Salary: $142,000 - $180,000 (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
  • Employee Stock Ownership Plan
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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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