FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Lead Autonomy Software Engineer
Scientific Systems. Lead a team developing innovative solutions to technical challenges derived from customer requirements .
Posted 9/17/2026full-timeBurlington • Massachusetts • United StatesSenior💰 $150,000 - $196,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in mission autonomy technologies and team leadership, with a strong background in software development for edge platforms and robotics. Proven ability to manage customer interactions, lead proposals, and drive program milestones while staying current with industry trends.
Highest-signal resume keywords
Mission Autonomy TechnologiesTeam LeadershipC/C++ and Python ProgrammingRobotics TechnologiesUS DOD Security Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Development for Edge PlatformsSimulation Tools and EnvironmentsClassical Autonomy and Machine LearningBehavior Architectures ImplementationTechnical Writing
Soft Skills
Excellent Oral and Written CommunicationCreative Problem Solving
Tools & Technologies
Linux-Based Development EnvironmentsAI/ML Standard Libraries and Tools
Industry Keywords
RoboticsMotion PlanningBehavior ModelingDecision-Making AlgorithmsProgram Management
Tech Stack
Tools & technologiesJavaLinuxPythonRustC++
About the role
Key responsibilities & impact- Lead a team developing innovative solutions to 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 the 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 related areas
- Collaborate with multidisciplinary teams to advance R&D roadmaps
- Work at a desk and on a computer for prolonged periods, with the ability to sit or stand
- Travel occasionally when necessary
- Potentially push, pull, or lift up to 15 pounds
Requirements
What you’ll need- 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
- Proven track record of leading proposals and winning contracts
- Proven track record 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, 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: M.S. or Ph.D. degrees
- Familiarity with AI/ML standard libraries and tools
- Experience working in Linux-based development environments
- Experience working on classical autonomy and machine learning, including reinforcement learning and generative methods
- Experience developing software modules combining planning, decision-making, and behavior execution in dynamic, adversarial environments
- Experience implementing and testing behavior architectures such as multi-agent collaboration, target engagement, payload management, reconnaissance, and engagement in adversarial scenarios
- Ability to analyze mission logs to diagnose failures and optimize models for iterative development
- Excellent oral and written communication skills, including technical writing skills
- Ability to identify and creatively solve complex problems
- Must be able to obtain and maintain a US DOD Security Clearance
Benefits
Comp & perks- 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