Lead Autonomy Software Engineer - MAGE

Scientific Systems Company, Inc.

New Jersey

On-site

USD 150,000 - 196,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan

Retirement Plan

Life Insurance

Paid Time Off

Family Leave

Short Term & Long Term Disability

Training & Development

Hybrid Work Schedule

Free Food & Snacks

Wellness Resources

Summer 9/80 work schedule

Job summary

Scientific Systems Company, Inc. in New Jersey is seeking a Lead Software Engineer to lead a team and develop innovative solutions in mission autonomy technologies. You will be responsible for ensuring program milestones are met while collaborating with multi-disciplinary teams.

The ideal candidate will have a Bachelor's degree in a relevant field and extensive experience in autonomy technologies, including leadership and proposal management. The position offers a hybrid work schedule and a competitive salary between $150,000 and $196,000 based on experience.

Qualifications

7+ years in autonomy technologies with team leadership in a related industry.
Extensive experience in proposals and winning contracts.
Experience in building and integrating software for edge platforms.

Responsibilities

Lead a team to develop innovative solutions for technical challenges.
Serve as a subject matter expert in mission autonomy technologies.
Stay current with industry trends and best practices.

Skills

C/C++

Python

Team leadership

Robotics technologies

Simulation tools

Education

Bachelor of Science degree in Math, Statistics, Computer Science, Engineering, or equivalent

Master's or Ph.D. degree

Job description

The Lead 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