
Harmattan AI · Lausanne
ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the...
Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M
Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to
allied forces.
Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting
ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and
execution are expected.
We are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry
(VIO) algorithmic stack.
monitoring tools..
effectively to stakeholders.
operational excellence.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE We are looking for a Computer Vision Engineer to join our Machine Learning and Computer Vision team. This role is crucial for developing core technical components across various robotics/aerospace projects. RESPONSIBILITIES * Research & Data Preparation: * Conduct research on state-of-the-art Computer Vision methodologies. Participate in the creation and curation of training and validation datasets. * Perform statistical analyses and develop visualization tools to ensure data quality. * Algorithm Development & Optimization: * Build and refine training pipelines and metrics to enhance model performance. * Develop and optimize Computer Vision algorithms for multiple robotics/aerospace projects. * Deployment & Integration: Implement ML/CV models into production-ready environments. Ensure seamless integration with Harmattan AI’s systems and conduct rigorous code reviews. * Validation & Monitoring: Test algorithms in real-world environments and develop monitoring tools. Track model performance and continuously improve deployed solutions. * Cross-Team Collaboration: Work closely with software and simulation teams to align development with system requirements. Communicate findings effectively to stakeholders. CANDIDATE REQUIREMENTS * Educational Background: A degree from a top-tier engineering school or university (Master’s degree in Computer Science or related field, PhD is a plus) * Technical Expertise: Strong mathematical foundations, coding skills (Python, C++ is a plus) and hands-on ML/CV project experience. Experience in top AI companies is a huge plus. * Passion for ML: Enthusiasm for Machine Learning and Computer Vision. * Strong Communication & Teamwork: Ability to collaborate effectively with diverse teams * Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE To train highly robust perception systems, we need aerial imagery spanning a massive variety of conditions. You will engineer an advanced Generative AI pipeline capable of completely transforming the context of existing datasets; shifting time-of-day (day to night), changing seasons (summer to winter), or altering entire biomes and weather systems; while perfectly preserving small, critical target objects like drones. * Refine the Generative Architecture: Take ownership of a sophisticated multi-pass diffusion pipeline (structural background replacement + lighting/atmospheric glazing) to seamlessly adapt scene contexts while maximizing physical realism. * Solve Edge Cases: Improve custom masking and high-res depth-patching algorithms (e.g., histogram matching, seamless blending) to anchor small objects in 3D space, eliminating generative artifacts and "sticker" effects. * Scale & Validate: Generate large-scale augmented datasets and rigorously quantify their impact on downstream model performance. Design experiments to measure how the inclusion and varying ratios of this synthetic data directly improve the accuracy, recall, and robustness of object detectors (e.g., YOLO) when tested against real-world edge cases. REQUIREMENTS * Education: Currently pursuing or recently completed a Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Machine Learning. * Deep Learning: Strong understanding of CNN architectures, object detection frameworks, and modern loss functions, as well as the tracking world and its problematics. * Software Engineering: Proficiency in Python (PyTorch/TensorFlow) and comfortable working in C++. * Linux/Embedded: Experience working in a Linux environment; familiarity with Git is a plus. * Problem Solving: A rigorous approach to debugging and an "engineering first" mindset, valuing performance over theoretical complexity. * Language: Fluency in English; French is a plus. BONUS * Experience with NVIDIA Jetson platforms and hardware-accelerated inference. * FPV pilot experience or hobbyist interest in UAVs. * Previous experience with synthetic data generation (e.g., NVIDIA Isaac Sim, Gazebo). We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE As an Embedded Software Engineer at Harmattan AI, you will join a growing team dedicated to developing cutting-edge UAV systems. Building on the foundation established by the team, you will contribute to designing software architectures, setting up development environments, and integrating drivers and algorithms for sensors and systems. Collaborating closely with the Algorithmic teams, your expertise will help advance Harmattan AI’s mission and foster a culture of technical excellence. RESPONSIBILITIES * Operating System: Configure and maintain the operating system (e.g., Embedded Linux or RTOS) for UAV systems. * Software Architecture: Participate in the improvement of the embedded software architecture, ensuring scalability and reliability. * Sensor Integration: Develop sensor drivers and integrate online algorithms in collaboration with the Algorithmic teams. * Telemetry Systems: Improve and maintain telemetry systems for the drone. * Coding Standards: Maintain strong coding standards and practices across the company to ensure high-quality software. * Tools : Collaborate in the implementation of in-house tools to accelerate software development. * Collaboration: Collaborate with multidisciplinary teams to deliver robust, high-performance systems for field deployment. CANDIDATE REQUIREMENTS * Education: Degree in Computer Science, Electrical Engineering, Robotics, or a related field. * Experience in Embedded Systems: Extensive experience in embedded software development, with a focus on robotics, aerospace, or related fields. * Programming Proficiency: Strong proficiency in C/C++; experience with Python is a plus. * OS Expertise: Proven track record of working with Embedded Linux or RTOS and multi-threaded/multi-process systems. * Sensor Development: Experience developing and integrating drivers for various sensors; ability to interpret datasheets. * Debugging Skills: Hands-on experience with debugging tools (e.g., software debuggers, oscilloscopes, logic analyzers). * Build Systems: Familiarity with build systems and version control tools (e.g., Git). * Firmware Knowledge: Strong understanding of firmware architecture and low-level programming. * Problem-Solving: Ability to work autonomously and solve complex technical challenges. * Communication & Influence: Excellent written and verbal communication, capable of leading diverse principals – from junior members to senior executives. * Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.