Mission Autonomy Tech Lead - Hybrid Robotics

Scientific Systems; Burlington (MA); Hybrid; USD 150,000 - 196,000; Full time

Benefits offered by this job

Hybrid Work Schedule

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off (Vacation, Sick & PH

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Free Food & Snacks

Wellness Resources

Summer 9/80 work schedule

Job summary

Scientific Systems in Burlington, MA, seeks a Lead Autonomy Engineer to guide a small engineering team on mission autonomy programs and align with division objectives. The role focuses on persistent world modeling, predictive simulation, and adaptive planning under uncertainty.

The candidate will lead customer interactions, advance R&D roadmaps with multi-disciplinary teams, and stay current with industry trends while supporting proposals and marketing efforts.

Qualifications

• BS in Math, Stats, CS, Engineering, or related field with 7+ years autonomy tech leadership experience, or MS with 5+ years, or PhD with 2+ years.
• Experience leading proposals and winning contracts.
• Experience building and integrating software for edge platforms.
• Background in robotics related to motion planning, behavior modeling, or decision-making.

Responsibilities

• Lead a team to develop innovative autonomy solutions from customer requirements.
• Serve as SME in mission autonomy technologies.
• Support or lead marketing and proposal efforts in mission autonomy.
• Manage team tasks to achieve program milestones.
• Lead prime and customer-facing interactions.
• Collaborate with multidisciplinary teams to advance R&D roadmaps.

Skills

Team leadership

C/C++

Python

Robotics

Education

Bachelor’s degree or equivalent experience

Master’s degree

PhD

Tools

AFSIM

NGTS

Linux environments

Job description

Scientific Systems in Burlington, MA, seeks a Lead Autonomy Engineer to guide a small engineering team on mission autonomy programs and align with division objectives. The role focuses on persistent world modeling, predictive simulation, and adaptive planning under uncertainty.

The candidate will lead customer interactions, advance R&D roadmaps with multi-disciplinary teams, and stay current with industry trends while supporting proposals and marketing efforts.