Lead Autonomy Software Engineer

Mission Autonomy

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

Requirements

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.

Qualifications

• 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.
• Familiarity with AI/ML standard libraries and tools.
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for validation, verification, and training.

Skills

Excellent organizational skills and attention to detail.

Pay

Salary: $150,000 - $196,000 (Depends on Experience)

Schedule

Hybrid Work Schedule