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The Team Lead Data Scientist will develop computer vision solutions for remote sensing data, focusing on edge-device optimization and multimodal LLMs. The role involves designing models for localization, detection, and segmentation while collaborating with production teams to deploy algorithms.
Develops and optimizes ML models for 3D reconstruction, human pose estimation, and computer vision tasks using Python, PyTorch/TensorFlow, and 3D data formats. Integrates algorithms into pipelines and collaborates with cross-functional teams to advance intelligent systems for automotive, aerospace, and defense industries.
Develops custom software solutions for Boston Dynamics’ robotics products, working with Fortune 500 clients to integrate and extend robotics systems for automation and data needs. Focuses on embedded platforms, cloud services, and cross-disciplinary technical challenges.
Develops and maintains software for unmanned systems (drones, autonomous platforms) supporting USSOCOM missions, including command/control, autonomy, and sensor integration. Core tech: C/C++, Python, MAVLink, ArduPilot/PX4, Qt/QML, and embedded systems.
Develops embedded software/firmware for robotics, autonomous systems, medical devices, and defense tech, bridging hardware and software in cross-disciplinary projects.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and…
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will…
This role involves developing high-quality C++ embedded software for automotive AI-driven systems, such as occupant monitoring. The engineer will collaborate with cross-functional teams to integrate and optimize deep learning models for deployment on resource-constrained automotive hardware.
Technical Project Manager bridges software and hardware teams in autonomous defense systems, translating field tests into engineering tasks and championing AI tooling while managing complex multi-disciplinary projects.
Owns sensor and perception feasibility for robotics and Physical AI projects, evaluating hardware like XR headsets, depth cameras, and IMU rigs to meet sub-centimeter accuracy and hand-keypoint fidelity requirements.
About Rivet Rivet is an American company building integrated task systems — fusing hardened hardware with software, sensors, AI, and networking — for industrial workforces and defense personnel. We create capabilities…
Build and optimize localization algorithms for autonomous trucks using sensor fusion, visual/lidar odometry, and state estimation to enable driverless freight operations.
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI)…
Design and develop computer vision algorithms for space debris detection, tracking, and 6DoF pose estimation using Python, C/C++, OpenCV, TensorFlow, and PyTorch within a hybrid team in the UK.
Design, develop, verify and deploy computer vision algorithms for spacecraft and ground systems, including space object detection, tracking, and 6DoF pose estimation, using Python, C/C++, OpenCV, TensorFlow, and PyTorch.
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage…
Design, develop, and optimize AI/ML embedded software for HP's commercial PCs and connected devices, deploying machine learning models at the edge using C/C++, Python, and frameworks like PyTorch, TensorFlow, ONNX, and TFLite.
The Embedded AI/ML Developer will design and optimize AI-enabled software for HP's commercial PCs and connected devices, focusing on deploying efficient machine learning models at the edge. The role involves integrating AI inference engines with firmware and system software while collaborating across hardware and data science teams.
Lead Backend Software Engineer at Rune Technologies builds production-grade backend systems to ingest data from physical sensors (e.g., fuel-level, munitions-count) and integrate with hardware, using Python or Go, for an AI-enabled logistics command and control platform (TyrOS) supporting military logistics.
Design and own the core C++ FusionEngine that delivers centimeter-level positioning for vehicles, robots, and drones, spanning embedded to Linux systems and real-time hardware.
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