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Lead Autonomy Software Engineer - MAGE2

Scientific Systems Company, Inc.

Burlington, MA · HybridJob$155–196K/yrSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$155–196K/yr
Location
Burlington, MAHybrid
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Security clearance

Job overview

The Lead Autonomy Software Engineer is a technical contributor and small-team lead supporting mission autonomy programs. The role leads engineering solutions, contributes to proposals and program execution, and serves as a subject matter expert in mission autonomy. Work includes developing and integrating software for edge platforms, applying robotics and simulation technologies, and collaborating across disciplines on research and development roadmaps.

Skills & qualifications

RequiredNice to have

Skills

Team LeadershipProposal LeadershipProgram LeadershipEdge Software IntegrationC/C++PythonProject-Specific LanguagesStaff PlanningBudget Estimation and TrackingCustomer-Facing InteractionsRoboticsMotion PlanningBehavior ModelingDecision-Making AlgorithmsSimulation ToolsAFSIMNGTSAI/ML Libraries and ToolsLinux DevelopmentOrganizational SkillsAttention to Detail

Qualifications

BS in Listed Fields or Equivalent Experience, MS+5 or PhD+27+ Years Autonomy Technologies ExperienceTeam Leadership ExperienceProposal and Contract-Winning ExperiencePrincipal Investigator or Similar ExperienceUS DoD Security Clearance Eligibility

Benefits

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

Full job description

The Lead Autonomy Software Engineer is a key technical contributor and small engineering team lead on multiple programs aligned with division and/or group 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:

  • Lead a team to develop innovative solutions to address technical challenges derived from customer requirements.

  • Serve as a subject matter expert in emerging mission autonomy technologies.

  • Support or lead marketing and proposal efforts in mission autonomy.

  • Support or lead managing and tasking team to achieve program milestones.

  • Take primary responsibility for prime and customer-facing interactions.

  • Stay current with industry trends, emerging technologies, and best practices in mission autonomy and other areas relevant to Scientific Systems.

  • Collaborate with multi-disciplinary teams to advance R&D roadmaps,

  • The role does require the ability to sit or stand at a desk and work on a computer for prolonged periods of time.

  • This role may require occasional travel when necessary.

  • May require the ability to push/pull/lift up to 15 pounds.

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

Requirements

Basic Qualifications

  • Bachelor of Science degree in Math, Statistics, Computer Science, Engineering, Physical Science, Operations Research, Data Science, or equivalent experience and 7+ years of progressive autonomy technologies experience including team leadership in a related industry, a Master degree and 5+ years of related engineering experience, or a Ph.D. degree and 2+ years working in a related engineering role.

  • Experience working in a team leadership role in a related industry.

  • Extensive experience leading proposals and winning contracts.

  • Extensive experience of leading programs in the principal investigator role or similar experience.

  • Experience in building and integrating software for edge platforms.

  • Experience with C/C++, Python, and/or project-specific required languages (e.g. Java, Rust, etc.)

  • Experience assisting with non-technical programmatic priorities as needed, including staff planning, budget estimation and tracking, and customer-facing interactions.

  • Background in robotics technologies related to motion planning, behavior modeling, or decision-making and their accompanying algorithms

  • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for validation, verification, and training

Preferred Qualifications

  • M.S. or Ph.D. degrees

  • Familiarity with AI/ML standard libraries and tools.

  • Experience in Linux-based development environments.

  • Excellent organizational skills and attention to detail

Benefits

  • Salary: $155,000 - $196,000 (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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