Development and application of engineering practice and knowledge in standards and protocols, application software and embedded software for wireless and satellite networks, fixed networks and enterprise networks
Development of connected devices (IOT and device engineering), connected applications (5G/ edge, B2X apps) and Telco Cloud, Automation and Edge Compute platforms
Integration of network systems and their operations
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Build & lead the team that designs, trains, adapts, and evaluates reasoning and cognition models intended for deployment across unmanned platforms
Define the technical roadmap for single-agent and multi-agent models, including architecture choices, training methods, data strategy, and evaluation criteria
Advance model capabilities for interpreting context, reasoning over time, coordinating among agents, and adapting to incomplete or changing information
Drive training efforts, including self-supervised learning, imitation learning, reinforcement learning, and distillation
Establish rigorous evaluations in simulation and with real-world data
Requirements
Bachelor's degree
Master's degree
PhD
Nice to have: PhD in Computer Science or related field
Nice to have: optimizing and deploying ML models to resource-constrained hardware
