Lead Autonomy Software Engineer

Scientific Systems

Burlington (MA)

Hybrid

USD 150,000 - 196,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan (Medical, Dental & Vision)

Retirement Plan (401k, IRA)

Paid Time Off (Vacation, Sick & Public Holidays)

Short Term & Long Term Disability

Training & Development

Hybrid Work Schedule

Free Food & Snacks

Wellness Resources

Summer 9/80 work schedule

Job summary

Scientific Systems in Burlington, Massachusetts is seeking a Lead Autonomy Software Engineer to contribute to multiple programs. This role involves leading a small engineering team to deliver innovative solutions in mission autonomy and requires extensive experience in autonomy technologies and team leadership.

Applicants must hold at least a Bachelor's degree and have a strong background in C/C++, Python, and robotics. The position offers a hybrid work schedule and several benefits including health care, retirement plans, and paid time off.

Qualifications

7+ years of progressive autonomy technologies experience including team leadership.
Experience working in a team leadership role in a related industry.
Extensive experience in leading proposals and winning contracts.

Responsibilities

Lead a team to develop innovative solutions to meet customer requirements.
Serve as a subject matter expert in mission autonomy technologies.
Collaborate with multi-disciplinary teams to advance R&D roadmaps.

Skills

C/C++

Python

Team leadership

Robotics technologies

Simulation tools

AI/ML libraries

Education

Bachelor's degree in relevant field

Master's degree or Ph.D. preferred

Job description

Overview

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 experienceand 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