• Triage and validate vulnerability reports produced by our AI static analysis tool, verifying severity, exploitability, and business impact • Write proof-of-concept exploits for critical vulnerabilities to confirm true positives • Analyze false positives to identify patterns and provide structured feedback to engineering • Author detailed vulnerability reports that will be submitted to upstream vendors and open source projects

• Train, tune, and test automatic target recognition and track management systems using the latest advancements in neural networks. • Develop multi-sensor fusion and state estimation algorithms (Kalman filters, particle filters, multi-target tracking) running onboard resource-constrained vehicles. • Design distributed fusion approaches that combine tracks across the swarm into a single coherent picture. • Rigorously characterize algorithm performance against real-world flight data and simulation. • Optimize models and estimators for real-time inference on edge compute. • Write clean, maintainable, and efficient code. • Travel up to 25% of the time for onsite test and integration events.

• Build and own critical software integrations that bring our C2 systems to life in customer environments -- from initial deployment through production reliability across diverse hardware configurations and operational contexts • Debug complex distributed systems issues in the field, analyzing logs, network traffic, and system performance to resolve failures fast and with minimal support • Contribute to core service development alongside the engineering team, bringing field insight back into the product and shipping improvements that make a direct operational difference • Write code daily across the full stack -- solving customer-specific integration challenges, contributing to core service development, and building monitoring and reliability solutions that hold up in the field • Support continuous operational environments, including non-standard hours, on-call response, and rotational coverage aligned to mission tempo • Travel domestically and internationally (up to 75%) to test sites and customer locations -- deploying software, troubleshooting issues in the field, and feeding hard-won requirements back to engineering • Collaborate with U.S. military and government program offices on-site and remotely, translating complex operational requirements into software solutions

• Lead the DES model generation from concept modelling to fully detailed mimic of the program / system that meet the design scope, operating principals, performance metrics, safety, quality, delivery, cost, people and environment objectives • Lead the system optimization, cost avoidance, best practises capturing and sharing this with relevant Stakeholders • Able to work effectively with design teams to develop and optimize solutions considering multi-attributes within defined deadlines and time constraints • Guide the process using a product knowledge and awareness of potential design constraints to ensure due consideration is given in developing solutions • Co-ordinate and lead projects and teams feedback of results as required through design / project reviews / DES Dashboards • Lead optimization of the DES model against different model derivative mixes and operational parameters • Lead the bottleneck analysis of the system and develop strategies to remove and lead volume throughput increase studies and system what ifs • Guide the process to adhere to the vehicle derivative sequencing and build to sequence rules • Support the continual development of tools and techniques which enhance capability, improve quality and robustness of DES models