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Senior Software Engineer II - Autonomy Software

Scientific Systems Company, Inc.

Burlington, MA · HybridJob$142–180K/yrSeen 1mo agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$142–180K/yr
Location
Burlington, MAHybrid
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Security clearanceBachelor's degree

Job overview

Scientific Systems is looking to fill a Senior Software Engineer position in the domain of Autonomous Vehicles and Uncrewed Systems. The successful applicant will be responsible for developing software for advanced AI/ML programs relating to autonomous flight systems and crewed-uncrewed collaboration.

Skills & qualifications

RequiredNice to have

Skills

C/C++PythonAgileGit/Gitlab/GithubConfluence/JiraCI/CDConanSonarQubeAutomated Test MethodologiesLinux-Based Development EnvironmentsMemory-Safe LanguagesDoD Robotics StandardsAI Robotic Navigation AlgorithmsEffective Oral CommunicationTechnical WritingCollaboration Skills

Qualifications

Bachelor’s Degree in Math, Statistics, Engineering, Physical Science, Computer Science, Operations Research, Data Science5+ Years Experience in Software Development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed Systems SoftwareUnited States DOD Security Clearance

Benefits

Medical Insurance
401(k) Match
Paid Time Off
Parental Leave
Tuition Assistance

Full job description

Scientific Systems is looking to fill a Senior Software Engineer position in the domain of Autonomous Vehicles and Uncrewed Systems. The successful applicant will be responsible for developing software for advanced AI/ML programs relating to autonomous flight systems and crewed-uncrewed collaboration.

Essential Functions:

  • Architect and 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.

  • Support presentation of technical results to internal and external customers.

  • Support integration of existing work into an unified software architecture.

  • This role may require occasional travel to remote test events.

  • Must be able to obtain and maintain a United States DOD Security Clearance.

Requirements

Basic Qualifications:

  • Bachelor’s degree (or higher) in Math, Statistics, Engineering, Physical Science, Computer Science, Operations Research, Data Science

  • 5+ years of experience in software development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed Systems Software.

  • Experience developing modular, maintainable, production-quality autonomy software.

  • Experience developing using C/C++, Python, and (optional but desired) relevant memory-safe languages.

  • Experience with and/or understanding of modern software development tool chains and processes (Agile, git/Gitlab/Github, Confluence/Jira, CI/CD, Conan, SonarQube, automated test methodologies, etc.)

  • Desired: Familiarity with DoD or other common robotics and datalink architecture standards (e.g. OMS/UCI, A-GRA, WOSA, FACE, DDS, ROS, STANAG 4586, J-Series, AFSIM, etc).

  • Desired: Familiarity with AI robotic navigation and decision algorithms – path planning (A*, RRT), schedule optimization (Simulated Annealing, Genetic Algorithms, Tabu Search), distributed coordination algorithms

Preferred Qualifications:

  • Familiarity with Linux-based development environments is highly desired.

  • Must be able to effectively communicate orally and possess technical writing skills.

  • Strong collaboration skills in multi-disciplinary autonomy, vehicle systems, and systems engineering teams.

  • Must be able to work effectively as part of an integration-focused development team.

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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