Edge Computer Vision Engineer for Drones!

Edge Computer Vision Engineerfor Drones! Company: Rownd (Rownd.ai / arcedge.ai) Position Type: Full-time Compensation: Competitive (Salary + Equity, DOE) Location: Hybrid-remote (Strong preference for candidates in Raleigh-Durham area, Wisconsin, or other non-traditional tech hubs—outside of SF, NYC, Seattle, etc.) Travel: 5-6 weeks of cumulative domestic travel per year (non-continuous, split across ~4 on-site team sessions, client sites, and conventions). About Rownd Rownd is a fast-paced, high-execution technology and hardware startup. We are building 100% autonomous physical assets —deploying custom software and hardware systems for defense and commercial sectors to put intelligent machines in the field. We don't just write software or integrate off-the-shelf parts; we build the full drone from the ground up. We operate with extreme autonomy, an aggressive bias for action, and a "just do it" mindset. We don't write software to sit in the cloud; we write software to make physical things navigate, sense, and act in the real world. We are constantly pushing the absolute outer edges of what is physically and computationally possible. If you want to settle for what was state‑of‑the‑art two years ago, Rownd is not the place for you. If you want to see your code fly, you belong here. Position Overview We are looking for our Edge Vision Person —an engineer who can design, build, and deploy the visual intelligence that powers our autonomous drones and edge assets. Because we build the full hardware platform, you have complete ownership over the vision pipeline. You aren't handcuffed to someone else's hardware choices; you get to pick the cameras, choose the sensors, select the processor, and design the software stack that gets the job done. This is not a traditional, slow-paced corporate research role. You won't be training trillion-parameter models on giant server clusters just to write a paper. Instead, you will be designing small, highly-optimized, lightning-fast models that live directly on the edge. You will need to be a Jack of trades, and a master of SOME. We don't expect you to know everything, but we expect you to be world-class at a few core things, completely unafraid to jump into the rest, and highly transparent about where you need to learn. You should be highly comfortable using Generative AI and AI coding assistants (GitHub Copilot, Cursor, LLMs) to multiply your output and ship production‑grade code rapidly. Culture, Trust & Expectations At Rownd, we maintain a high level of trust and exceptionally high expectations . Figure It Out: You won’t be handed a step-by-step playbook or a list of perfect requirements. You are expected to think outside the box, try wild new things, conduct rapid research, and do whatever it takes to accomplish our goals. Comfortable Being Uncomfortable: Startups are fast and chaotic. You must be completely okay with extreme ambiguity, shifting requirements, and rapid change. When things pivot, your instinct should be to adapt and build, not freeze. Positive & Collaborative: We are a tight-knit team. We look for people who are additive, collaborative, positive, and genuinely great to work with. No brilliant jerks. Hard Work & Real Rest: This is a startup environment pushing hard to make history—it is not a traditional, comfortable 9-to-5. We work intensely when we are on, but we also fiercely protect our team's well-being. We expect you to actually take your time off, unplug, and recharge. We work for and with the nation’s Soldiers, Sailors, Marines, and Airmen: Must be willing and happy to provide software, models, and hardware to the Department of War. If you have moral reservations around supplying the US military and government, then this role and company are not for you. Key Areas of Responsibility Edge Model Design & Deployment (Core Focus) Full Stack Hardware & Sensor Selection: Research, evaluate, and select optimal camera modules, lenses, optical sensors, and onboard edge compute processors to meet mission requirements. Next-Gen Architectures: Implement, optimize, and deploy state‑of‑the‑art vision models (including YOLO variants, CLIP, DINOv2 , and newer, more interesting backbones). We expect you to aggressively research and adopt newer stacks rather than defaulting to comfortable, outdated frameworks. Small & Fast Deployments: Fine‑tune, compress, and quantize models for constrained hardware environments (Tracking, Classification, and Segmentation). Multi‑Platform Deployment: Target both CUDA‑enabled devices (NVIDIA Jetson) and non‑CUDA NPUs (Neural Processing Units like Hailo, Rockchip, STM32, or similar edge accelerators). Self‑Improving Systems: Design feedback loops and pipelines that allow deployed assets to continuously flag edge cases, gather raw data, and self‑improve over time. Robotic Systems Integration & Adaptability Cross‑Platform Adaptability: While our current focus is aerial hardware, you must be ready and willing to adapt your vision stacks to other land‑based, maritime, or custom robotic systems as our hardware ecosystem expands. Robust Evaluation Suites: Build rigorous, automated evaluation pipelines to benchmark model performance, latency, accuracy, and power consumption across physical edge devices. Synthetic Data Generation: When real‑world data is scarce, leverage simulation environments, generative tools, and programmatic pipelines to generate high‑fidelity synthetic training data. Code, Systems & Hardware Integration Production‑Grade Code: Write clean, modular, and performant C++ and Python code to integrate model outputs directly into drone navigation and control pipelines. AI‑Assisted Development: Seamlessly integrate AI coding tools into your daily workflow to rapidly draft, document, debug, and iterate. Operations & Team Alignment Daily Standup Sync: Active participation in our daily team standup at 10:30 AM EDT . Because we operate as a remote‑first team, attending with your camera on and ready to actively engage is a strict requirement. Extreme Autonomy: Own your work streams end‑to‑end. We don't micro‑manage. We agree on the target, and we expect you to move quickly, iterate, and deliver. Candidate Qualifications US Citizenship: Candidates must be US citizens eligible to obtain and maintain a U.S. Security Clearance (due to our defense work and FCL requirements). Edge & NPU Expertise: Hands‑on experience deploying CV models to physical hardware, dealing with quantization (INT8/FP16), and optimizing for memory/thermal limits. Core Tech Stack: High proficiency in PyTorch/TensorFlow, OpenCV, TensorRT, CUDA, C++, and Python. Just Do It Mentality: You don’t wait for permission. You build a prototype, test it, break it, and fix it. You have a proven track record of "just figuring it out" in highly ambiguous environments. Location & Lifestyle: Ideally located in a non‑traditional tech hub. We love builders who choose to live, work, and thrive outside the major, overcrowded coastal tech centers. Travel Flexibility: Willingness to travel for 4 to 5 weeks cumulatively per year for on‑sites, hardware integration, and client field testing. What’s In It For You? Real‑World Impact: Your models will physically control, guide, and protect 100% autonomous drones and robotic systems in the field. Hardware Autonomy: The power to pick your own cameras, sensors, and edge‑computing setup. Defense Tech Credentials: Direct experience building defense‑grade, audit‑ready AI systems at a rapidly expanding startup. Autonomy & Tools: We will equip you with whatever hardware, computing power, and AI developer tools you need to move fast and succeed. Ownership: Competitive salary combined with meaningful equity, letting you share directly in Rownd’s growth. #J-18808-Ljbffr Rownd