Lead Research Engineer I - Mission Autonomy & Global Effects
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
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
Requirements
- 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
- Master degree and 5+ years of related engineering experience, or a Ph.D. degree and 2+ years working in a related engineering role
- Proven track record of leading proposals and winning contracts
- Proven track record of leading programs in the principal investigator role or similar experience
- Experience working in a team leadership role in a related industry
- 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
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
- Master degree and 5+ years of related engineering experience, or a Ph.D. degree and 2+ years working in a related engineering role
- Proven track record of leading proposals and winning contracts
- Proven track record of leading programs in the principal investigator role or similar experience
- Experience working in a team leadership role in a related industry
- 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
Skills
- Familiar with AI/ML standard libraries and tools
- Experience working in Linux-based development environments
- Excellent organizational skills and attention to detail
- Experience working on both classical autonomy and machine learning and the combination of the two, blending rule-based systems with learning-based methods such as reinforcement learning and generative methods to achieve resilient, adaptive behavior
- Experience developing software modules that combine planning, decision-making, and behavior execution in dynamic, adversarial environments
- Experience implementing and testing behavior architectures such as multi-agent collaboration, target engagement, payload management, reconnaissance, and engagement in adversarial scenarios
- Ability to analyze mission logs to diagnose failures and optimize models for iterative development
- Excellent oral and written communication skills including technical writing skills
Benefits
- Salary: $150,000 - $196,000 (Depends on Experience)
- Health Care Plan (Medical, Dental & Vision)
- Retailment Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Training & Development
- Hybrid Work Schedule
- Free Food & Snacks
- Wellness Resources
- Summer 9/80 work schedule