Technical Project Manager

We are looking for a Technical Project Manager who is a genuine bridge between our software and hardware teams not just a coordinator but someone who understands both worlds well enough to add value in each direction. You will translate field test results into engineering tasks help the Lead Architect research and validate solutions and champion AI tooling across the team.

What We Offer

• A central role in mission-critical autonomous systems development for national defense.
• Direct collaboration with top-tier CV embedded and robotics engineers.
• Significant influence on technical direction and team culture.
• Freedom to explore and introduce AI tooling across the teams workflows.
• Competitive compensation aligned with expertise.
• Temporary exemption from military service for the duration of work on defense-critical projects.

Requirements

Technical Background Required

• 4 years in software engineering; (CV/ML technical lead or architect role)
• Solid understanding of CV pipelines: detection tracking SLAM/visual odometry enough to evaluate accuracy and latency trade-offs from field results.
• Python proficiency; C reading-level minimum.

  Will be a Plus

• Hands-on experience with ONNX TensorRT or quantization workflows.
• Experience with deep learning frameworks (PyTorch or TensorFlow) and model optimization workflows.
• Working knowledge of ROS nodes topics services inter-module communication.
• Familiarity with edge platforms (NVIDIA Jetson or similar) and real-time constraints.
• Familiarity with autopilot ecosystems (ArduPilot Betaflight) enough to read architecture docs and contribute to technical decisions.
• Sensor fusion experience (Camera IMU GPS).

Project & Communication Skills

• Proven ability to manage complex technical projects across multi-disciplinary teams.
• Able to take polygon/field test results and convert them into clear prioritized engineering tasks.
• Comfortable working directly with a Lead Architect receiving high-level requirements researching solutions presenting structured proposals.
• Proficient with Jira and Confluence task tracking sprint management structured documentation.
• Strong written and verbal communication; comfortable leading design reviews and justifying trade-offs.

AI Tools & Mindset

• Active daily user of AI tools (Claude Cursor Copilot or similar).
• Genuine drive to become an internal AI champion introduce tools identify new use cases raise the bar for the whole team.

Responsibilities

• Own end-to-end delivery across multiple workstreams (autonomous drone turret control and future platforms): planning tracking risk management reporting.
• Primary technical liaison between software (CV/ML ROS) and hardware/embedded teams translating requirements surfacing blockers resolving misalignments.
• Attend polygon and field tests; translate results including HIL/SIL outcomes into structured engineering feedback and task descriptions.
• Work with the Lead Architect to research new approaches; prepare structured proposals for architectural decisions.
• Coordinate module integration (optical guidance servo control ROS layers) interfaces latency requirements milestones.
• Maintain project documentation: requirements test reports decision logs vendor deliverable tracking.
• Introduce and evangelize AI tooling across engineering workflows.

Nice to Have

• Hands-on experience with autonomous drones FPV or UAS platforms.
• ArduPilot or Betaflight ecosystem experience.
• MLOps or model deployment pipeline experience.
• Experience managing vendor/partner relationships RFP processes deliverable tracking.
• Systems thinker holds the full picture while diving into details when needed.
• High ownership; comfortable with ambiguity and fast-moving field environments.
• Surfaces problems early with proposed solutions not just issues.
  

Recruitment Process:

• CV Screening: Applications are reviewed within 24 hours.
• Pre-Screening: A short Q&A session (AI or with a recruiter) to assess your experience.
• Shortlisting: Selected candidates are presented to the hiring manager.
• Interview: Tech discussion with the project team.
• Offer & Onboarding: Successful candidates receive an offer and start the onboarding process.

Note: You can choose to complete the pre-screening via an automated session (recommended for faster feedback) or with a about the processing of your personal data is provided in our Privacy Policy which is available online a Privacy Policy