FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building decision-making systems for robots and autonomous agents, with a strong focus on multi-agent coordination, optimization of algorithms, and simulation pipeline management. Proficient in Python and C/C++, with a solid foundation in control theory and numerical methods.
Highest-signal resume keywords
Decision-Making Systems DevelopmentMulti-Agent CoordinationPython Programming on LinuxSimulation Pipeline ManagementEmbedded Systems Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Multi-Agent AlgorithmsTask AllocationControl TheoryNumerical MethodsLinear AlgebraFault-Tolerant BehaviorDistributed SystemsDigital TwinsReal-Time ProcessingCollaborative Path Planning
Tools & Technologies
SimulatorsArduPilotPX4Edge DevicesTest-Range Support
Industry Keywords
Autonomous AgentsDefense EnvironmentsEW-Contested EnvironmentsDrone TechnologyFlight Firmware
Tech Stack
Tools & technologiesDistributed SystemsLinuxPythonC++
About the role
Key responsibilities & impact- Build distributed onboard autonomy running in real time across several companion computers under tight compute and link constraints
- Evolve multi-agent algorithms for task allocation, deconfliction, and collaborative path planning under limited bandwidth, high latency, and packet loss
- Convert R&D algorithms into product-ready code by finding bottlenecks, handling edge cases, and ensuring deterministic, fault-tolerant behavior
- Optimize processing time, power consumption, and data flow
- Design resilient communications and coordination, including link-aware strategies and degraded-mode behavior when links drop
- Build swarm explainability through intent and decision logs, human-readable reasoning traces, and post-flight analysis tools
- Own the simulation pipeline by preparing digital twins, designing multi-drone experiments, and measuring the simulation-to-real-flight gap
- Support field tests with the test-range team, remain available online during flights, and occasionally travel to the test site
Requirements
What you’ll need- 4+ years building decision-making systems for robots or autonomous agents, including planners, task allocation, or behavior logic
- Hands-on experience with multi-agent or multi-robot coordination
- Strong Python on Linux
- Experience with C/C++ and embedded systems highly valued
- Solid grounding in linear algebra, control theory, probability, and numerical methods
- Hands-on experience with simulators and digital twins
- English at B2 or higher
- Contributions to ArduPilot or PX4, or modified flight firmware, advantageous
- Experience building distributed systems on edge devices, advantageous
- Experience in defense or EW-contested environments, advantageous
- Experience building, flying, crashing, and debugging own drones, advantageous
- CV must be submitted in English
Benefits
Comp & perks- 20 paid vacation days
- Comprehensive health insurance
- Paid sick leave
- Flexible working arrangements depending on operational and security requirements
- Military reservation and other defense-sector benefits
- Professional growth through hands-on work with advanced UAV technologies and exposure to international best practices in autonomy, CV, and ML