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Build and improve 3D perception models (LiDAR, cameras) for autonomous trucks using PyTorch and Python, integrating ML into Torc’s autonomy stack.
Senior ML engineer building production ego-motion estimation and localization for autonomous trucks: learned pose estimation, sensor extrinsic calibration, map matching, and multi-sensor fusion (camera, LiDAR, radar), plus state-estimation algorithms. Core stack is PyTorch, Python, and modern C++ with large-scale real-world vehicle datasets.
Staff-level machine learning engineer leading development of bird's-eye-view (BEV) and multi-modal perception models that fuse camera, LiDAR, and radar data for Torc's autonomous truck stack. Day-to-day is BEV transformer architecture design, large-scale distributed training in Python/PyTorch, evaluation, and mentoring — remote in the US or hybrid in Ann Arbor, MI.
Field Application Engineer at Efficient Computer, a semiconductor startup building energy-efficient processors (Electron E1). Acts as the technical bridge between customers and engineering — building demos, reference designs, and benchmarks, supporting board bring-up through production, and helping secure design-wins using embedded C/C++, Python, ARM/RISC-V MCUs, and edge AI/sensor-fusion work.
Overview In this role you will own the iOS architecture and delivery for a high-performance mobile product that supports IoT, GPS, and computer vision. You will work closely with Robotics and Computer Vision engineers…
A senior ML engineer builds and deploys perception and autonomy models for autonomous maritime drones, running inference on edge hardware and optimizing pipelines for real-time, mission-critical operations.
Designs and deploys real-time vessel detection and tracking systems for autonomous maritime drones, using C++, GPU-accelerated edge computing, and multi-sensor fusion.
Hands-on principal-level technical lead who defines the architecture and technical direction of perception systems — sensor fusion, probabilistic estimation, localization, tracking, and ML — for Saildrone's autonomous unmanned surface vehicles used in maritime defense, turning research into production software deployed on real vehicles.
Builds and deploys machine-learning perception (computer vision) systems for Saildrone's autonomous unmanned surface vehicles — training, evaluating, and productionizing models from real-world sensor data for detection, classification, segmentation, and scene understanding. Core stack: Python and PyTorch, with C++, edge deployment, and inference optimization (ONNX/TensorRT/CUDA) as pluses.
About the role The Forterra navigation team seeks a Navigation Software Engineer to help build and validate the localization systems that let our autonomous vehicles know where they are, reliably and in every…
Develops, integrates and debugs software running onboard TEKEVER's unmanned aircraft — autopilots, autonomy stack, payloads and other subsystems — balancing rapid innovation with formal engineering rigour and supporting flight tests. Core tech: embedded C++/Rust (incl. MISRA), Linux/Yocto, PX4/ArduPilot/MAVLink, FreeRTOS, ROS 2, Docker, CMake/GitLab CI.
Designs and builds autonomy software for unmanned surface vehicles (USVs) in Doha — vehicle control, guidance/navigation, sensor fusion, and marine sensor integration. Core stack is C++ on embedded/real-time platforms with frameworks like MOOS-IvP, ArduPilot/ArduRover, or PX4, plus CAN Bus/NMEA integration and sea trials.
A co-op embedded software engineer at Gastronomous designs and implements embedded software for real-time control, sensor fusion, and motion planning in Canada's first fully autonomous kitchen robotics platform. Day-to-day work spans sensor data processing, software integration and debugging on embedded systems, and building unit/automated tests, primarily in Python, C++, and Linux with RTOS.
Salary: £50,000 - 90,000 per year Requirements: 3+ years experience developing and delivering AI, Machine Learning or advanced algorithmic solutions. Experience within the Defence, National Security or Government…
Команда центра аэрологистики, которая входит в состав департамента автономных решений, занимается научными исследованиями в области построения логистических маршрутов с применением отечественных моделей беспилотников и…
Backend developer in Perth building safety-critical software for autonomous vehicles, autonomous health systems (AHS), and embedded applications. Day to day: developing and testing autonomous/embedded components, hardware-software integration, and containerized deployment, primarily with C#/.NET, C++, React/TypeScript, and GenAI coding tools.
Builds the hardware-facing software stack for Google DeepMind's embodied AI robots: real-time OS tuning, memory management, and low-latency communication across the robot stack, plus CI/CD and hardware-in-the-loop testbenches. Core tech includes RTOS, CAN/SPI/I2C/UART protocols, and simulation tools like MuJoCo, Isaac Sim, and Gazebo.
About the Team: The Sensors Division within STR focuses on the development and analysis of advanced sensor systems in the RF, acoustic, and electro-optical domains. This includes the design and development of novel…
Joins Field AI's Calibration, Localization, and Mapping (CLAM) team to design and implement SLAM, sensor calibration, and state-estimation algorithms for autonomous quadruped and humanoid robots. Day to day means writing production-quality C++/Python and ROS code, building validation/benchmark tools, and integrating algorithms into real-world systems. Fully onsite in Irvine, CA.
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