Seeing Systems

About Us Seeing Systems is building autonomous drone systems that can perceive, navigate, and act intelligently in complex real-world environments. We're advancing autonomy through monocular vision, sensor fusion, and robust system design — drones that keep working where traditional systems fail, supported by an agentic stack that reduces operator cognitive load. Our first product is an FPV-class drone built from the ground up with a modular hardware architecture. If we get the first platform right, we can move fast on everything else: larger airframes, longer range, new payloads, and new mission profiles without rebuilding the stack each time. We were founded by brothers Matthew and Alexander Le Maitre. Matthew is a former Jane Street engineer and Cambridge CS graduate with a background in autonomous systems research. Alexander is a self-taught hardware engineer who has been building unmanned systems and military-grade electronics. We're an early-stage, fast-moving team working at the intersection of robotics, perception, and real-world deployment. We iterate weekly. We test in real environments. The Role You'll work alongside our hardware team on the electronics that make our drones fly — schematics, PCB layouts, bring-up, bench testing, and field testing. This isn't an internship where you'll be reading documentation in a corner. You'll have your own boards, your own scope, and your own bench. The PCBs you design will be populated, brought up, and flown by the team — sometimes in the same week. You'll work directly with Alex and the wider hardware team on subsystems going into real airframes. You'll learn the full loop from blank schematic to a working board strapped to a drone in the field. What You'll Do Design PCBs end-to-end on focused subsystems: sensor breakouts, power boards, test boards, and bring-up tools. Own schematic capture and multi-layer layout under the guidance of senior engineers. Bring up, debug, and validate boards on the bench — scopes, logic analysers, signal generators, the works. Solder, rework, and assemble prototype boards with your own hands. Build test rigs and validation jigs that catch problems before they hit the airframe. Support integration of new electronics into our drones and ground station hardware. Participate in schematic, layout, and BOM reviews — both as the engineer being reviewed and learning to review others. Use AI tools to accelerate design, firmware, and debug. Get out of the workshop and into the field with us for flight tests. What We're Looking For Currently studying Electrical Engineering, Electronic Engineering, or a closely related discipline. A solid grasp of analog, digital, and power electronics fundamentals. Hands-on PCB design experience in Altium or KiCad — coursework, side projects, hackathons, or personal builds all count. Comfortable with EE lab equipment: oscilloscope, multimeter, signal generator, bench supply, soldering iron. Some scripting in Python or C. A portfolio of personal projects, builds, or coursework that proves you actually like making things. Comfortable getting outside and testing in the real world with us. Nice to Have Personal experience building or flying drones, robots, or other unmanned systems. Embedded work with STM32-class MCUs and protocols such as SPI, I2C, UART, USB, CAN, or Ethernet. Exposure to RF or wireless design. C/C++ firmware for board bring-up and diagnostics. Previous internship, freelance, or club work on real electronic products. Familiarity with DFM and EMI considerations. Why Join Real responsibility from week one — your boards will fly. A direct line to senior hardware engineers and the founders. Fast iteration: from schematic to soldered to flying in weeks, not quarters. A portfolio of shipped, field-tested hardware by the end of the internship. Snack of choice stocked in the workshop.

About Us Seeing Systems is building autonomous drone systems that can perceive, navigate, and act intelligently in complex real-world environments. We focus on advancing autonomy through monocular vision, sensor fusion, and robust system design, enabling drones to operate reliably where traditional systems fail. Seeing Systems was founded by brothers Matthew and Alex Le Maitre, combining deep experience across software, robotics, and defense. Matthew is a former Jane Street engineer and top-ranked computer science graduate from the University of Cambridge, with a background in autonomous systems research. Alexander is a self-taught hardware engineer who has been building unmanned systems and military-grade electronics from a young age, including work on explosive ordnance and national security projects. We are an early-stage, fast-moving team working at the intersection of robotics, perception, and real-world deployment. The Role We’re hiring a Software Engineering Intern to help design and build the core autonomy stack powering our drones. This is a deeply technical, hands-on role where you’ll work across perception, planning, and systems infrastructure—owning critical pieces of the product from day one. You’ll partner directly with the founders to define architecture, make key technical decisions, and ship systems that perform reliably both in simulation and in the field. What You'll Do Design and build core components of the autonomous drone stack Develop perception and state estimation systems using monocular vision and sensor fusion Work with and extend robotics frameworks like ROS / ROS2 Build and test algorithms in simulation environments such as AirSim, and deploy to real systems Implement and optimize SLAM, localization, and navigation pipelines Interface with sensors, compute systems, and flight controllers Contribute to system architecture across software, hardware, and communications layers Rapidly prototype, test in the field, and iterate on real-world performance Leverage modern AI tools and workflows to accelerate development and experimentation Help define engineering culture, tooling, and hiring as a founding team member Within your first 30 days, you'll deploy your first vision-based navigation update to a physical drone and test in the field, and within 90 days, you’ll be co-owner of our internal autonomy stack, responsible for large-scale development and direction of our primary software product. What We're Looking For Strong software engineering skills, with Python preferred (C++, Rust or OCaml is a plus) Experience building robotics, real-time, or distributed systems Familiarity with ROS / ROS2 and working across simulation + hardware Strong intuition for systems, debugging, and performance tradeoffs Comfortable operating in ambiguity and moving quickly in a startup environment High ownership mindset—you build, test, and ship end-to-end Heavy user of AI tools (e.g., claude code) to accelerate output Willing to go outside with us and test in the real world! Nice to Have Experience with SLAM, visual odometry, or 3D reconstruction Background in computer vision (especially monocular/depth estimation) Experience with sensor fusion (e.g., IMU + camera, Kalman filters) Familiarity with AirSim or similar simulation platforms Experience working with drones, UAV systems, or embedded systems RF or communications systems experience Prior startup or founding engineer experience Why Join Founding-level ownership Opportunity to build cutting-edge autonomous systems from first principles Work on real-world robotics problems with immediate, tangible impact Tight iteration loop between simulation and deployment Small, high-agency team moving quickly If you’re excited about building autonomous systems that operate in the real world—and want to help define the future of drone intelligence—we’d love to talk.

About Us Seeing Systems is building autonomous drone systems that can perceive, navigate, and act intelligently in complex real-world environments. We’re advancing autonomy through monocular vision, sensor fusion, and robust system design — drones that keep working where traditional systems fail, supported by an agentic stack that reduces operator cognitive load. Our first product is an FPV-class drone built from the ground up with a modular hardware architecture. If we get the first platform right, we can move fast on everything else: larger airframes, longer range, new payloads, and new mission profiles without rebuilding the stack each time. We were founded by brothers Matthew and Alexander Le Maitre. Matthew is a former Jane Street engineer and Cambridge CS graduate with a background in autonomous systems research. Alexander is a self-taught hardware engineer who has been building unmanned systems and military-grade electronics. We’re an early-stage, fast-moving team working at the intersection of robotics, perception, and real-world deployment. We iterate weekly. We test in real environments. The Role You will own hardware at Seeing Systems from first schematic to flying systems in the field. That means designing the electronics and the physical systems around them: flight controllers, motor drivers, RF circuits, power systems, sensor boards, payload boards, frames, enclosures, mounts, packaging, and ground station hardware. You’ll take ownership of the whole stack and turn blank-schematic ideas into reliable products that work outside the lab. This is a founding hardware role. You won’t just design boards — you’ll own them through bring-up, flight testing, iteration, and production. You’ll help define the modular architecture we scale from, so every new platform builds on the last instead of starting over. You’ll work directly with Alex on hardware architecture, set technical direction, and grow into the leader of the hardware team as we scale. Within 30 days: you’ve brought up your first custom board and flown it on one of our drones. Within 90 days: you will have completed the first production-ready revision of our modular flight controller and integrated it into our alpha airframe What You'll Do Design PCBs end-to-end: flight controllers, motor drivers, RF and antenna boards, power distribution, BMS, sensor boards, and payload boards. Own schematic capture, multi-layer layout, bring-up, debug, signal and power integrity, and EMI/EMC. Build the physical system around the electronics: enclosures, mounts, thermal solutions, airframe integration, and ground station hardware. Own RF and wireless subsystems: telemetry, video downlink, and command & control, including antenna integration and range testing in poor conditions and optimise for high-interference electronic warfare environments. Define system architecture and translate block diagrams into functional products. Work with manufacturers and suppliers on cost, yield, reliability, and manufacturability. Use AI tools to accelerate design, firmware, and debug. Help define engineering culture, tools, and the hardware team behind you. What We're Looking For A track record of taking hardware from blank page to manufactured units that work in the field, or a portfolio of personal builds that proves you can do it. Strong PCB design skills in Altium or KiCad. Deep grounding in analog, digital, and power electronics. Real RF/wireless design experience. Comfortable with the gap between “works on the bench” and “works at range in the field.” Bias toward shipping. Comfortable getting outside and testing in the real world with us. Nice to Have Defence, aerospace, or UAV industry experience. Personal experience building and flying drones, robots, or other unmanned systems. Embedded work with STM32-class MCUs and protocols such as SPI, I2C, UART, USB, CAN, and Ethernet. Long-range RF protocols and link budget analysis. Analog and high-speed digital video design. C/C++ firm

About Us Seeing Systems is building autonomous drone systems that can perceive, navigate, and act intelligently in complex real-world environments. We focus on advancing autonomy through monocular vision, sensor fusion, and robust system design, enabling drones to operate reliably where traditional systems fail. Seeing Systems was founded by brothers Matthew and Alex Le Maitre, combining deep experience across software, robotics, and defense. Matthew is a former Jane Street engineer and top-ranked computer science graduate from the University of Cambridge, with a background in autonomous systems research. Alexander is a self-taught hardware engineer who has been building unmanned systems and military-grade electronics from a young age, including work on explosive ordnance and national security projects. We are an early-stage, fast-moving team working at the intersection of robotics, perception, and real-world deployment. The Role We’re hiring a Founding Software Engineer to help design and build the core autonomy stack powering our drones. This is a deeply technical, hands-on role where you’ll work across perception, planning, and systems infrastructure—owning critical pieces of the product from day one. You’ll partner directly with the founders to define architecture, make key technical decisions, and ship systems that perform reliably both in simulation and in the field. What You'll Do Design and build core components of the autonomous drone stack Develop perception and state estimation systems using monocular vision and sensor fusion Work with and extend robotics frameworks like ROS / ROS2 Build and test algorithms in simulation environments such as AirSim, and deploy to real systems Implement and optimize SLAM, localization, and navigation pipelines Interface with sensors, compute systems, and flight controllers Contribute to system architecture across software, hardware, and communications layers Rapidly prototype, test in the field, and iterate on real-world performance Leverage modern AI tools and workflows to accelerate development and experimentation Help define engineering culture, tooling, and hiring as a founding team member Within your first 30 days, you'll deploy your first vision-based navigation update to a physical drone and test in the field, and within 90 days, you’ll be co-owner of our internal autonomy stack, responsible for large-scale development and direction of our primary software product. What We're Looking For Strong software engineering skills, with Python preferred (C++, Rust or OCaml is a plus) Experience building robotics, real-time, or distributed systems Familiarity with ROS / ROS2 and working across simulation + hardware Strong intuition for systems, debugging, and performance tradeoffs Comfortable operating in ambiguity and moving quickly in a startup environment High ownership mindset—you build, test, and ship end-to-end Heavy user of AI tools (e.g., claude code) to accelerate output Willing to go outside with us and test in the real world! Nice to Have Experience with SLAM, visual odometry, or 3D reconstruction Background in computer vision (especially monocular/depth estimation) Experience with sensor fusion (e.g., IMU + camera, Kalman filters) Familiarity with AirSim or similar simulation platforms Experience working with drones, UAV systems, or embedded systems RF or communications systems experience Prior startup or founding engineer experience Why Join Founding-level ownership and significant equity Opportunity to build cutting-edge autonomous systems from first principles Work on real-world robotics problems with immediate, tangible impact Tight iteration loop between simulation and deployment Small, high-agency team moving quickly If you’re excited about building autonomous systems that operate in the real world—and want to help define the future of drone intelligence—we’d love to talk.