Lead Autonomy Software Engineer

Scientific Systems Company, Inc.

Burlington (MA)

On-site

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)

Hybrid Work Schedule

Free Food & Snacks

Job summary

Scientific Systems Company, Inc. is seeking a Lead Autonomy Software Engineer in Burlington, Massachusetts. This role involves leading a small engineering team, developing innovative solutions for mission autonomy, and managing key customer interactions.

Ideal candidates will have substantial experience in autonomy technologies, with strong team leadership skills and proficiency in languages like C/C++ and Python. The position offers a comprehensive benefits package and a hybrid work schedule.

Qualifications

7+ years of progressive autonomy technologies experience.
Experience in leadership roles within relevant industry.
Extensive experience in building and integrating software for edge platforms.

Responsibilities

Lead a team to develop innovative solutions to technical challenges.
Collaborate with multi-disciplinary teams on R&D roadmaps.
Support or lead marketing and proposal efforts in mission autonomy.

Skills

Team leadership in autonomy technologies

C/C++ programming

Python programming

Robotics and motion planning

Proposal leadership

Education

Bachelor's degree in relevant field

Master's or PhD degrees

Tools

Simulation tools (AFSIM, NGTS)

AI/ML libraries

Linux-based environments

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.

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