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Designs and builds a scalable computer vision platform for global automotive battery plants, using Python, OpenCV, and NVIDIA tools to improve manufacturing efficiency and quality.
Привет! Это команда "Модерация селлерского контента" Наша команда отвечает за автоматическую модерацию селлерского контента, обеспечивая его соответствие законодательству РФ и правилам маркетплейса. Много…
Leads end-to-end validation of AI software stack (neural network operators, compilers, runtimes, memory management) to ensure correctness, scalability, and performance for a next-gen AI computational storage platform.
Build and optimize ultra-low-latency ML inference pipelines for quantitative trading, tuning GPU/FPGA kernels and memory hierarchies to microsecond precision.
The Role Every robot we ship goes out with edge compute attached to it, and that compute has to work reliably in someone else's factory, not in our lab. We need a founding software engineer to build the system that…
Builds cross-platform APIs and shared ML inference infrastructure for CrowdStrike’s Falcon Sensor, ensuring consistent, high-performance interfaces across Windows, Linux, and macOS.
Builds full-stack software for national security missions, blending algorithm development, legacy system support, and web apps using Python, Go, React, and Kubernetes. Focuses on mission-critical systems with AI/ML integration.
Hands-on engineer deploying AI inference on edge and wearable hardware, managing hardware-software integration and optimizing ML pipelines under power, memory, and latency constraints using C/C++, Python, and frameworks like ONNX, TFLite, and TensorRT.
This role involves developing embedded software and video analytics solutions using modern C++ and Python. The engineer will work on edge AI workloads, MLOps pipelines, and distributed system architectures.
Develops embedded and AI-driven video analytics solutions, integrating C++/Python for Linux-based systems, distributed messaging, and MLOps pipelines while optimizing for edge hardware.
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Build and deploy real-time Vision AI models and pipelines for industrial automation, using Python, OpenCV, and PyTorch on edge devices like Nvidia Jetson.
About Linque Linque is an industrial intelligence company that bridges IT, OT, and AI to help critical industries modernize with clarity, control, and confidence. Linque exists to bridge legacy systems with intelligent…
Description • Develop classification and clustering models on tabular data to support hematology analyzer capabilities • Contribute to model development, evaluation, and iteration under the guidance of a senior data…
Build and deploy AI models that monitor vehicle health in real time using logs, traces, and sensor data, then optimize them to run on resource-constrained edge devices.
Helsing is seeking an AI Research Engineer to develop machine learning models for electronic warfare systems, focusing on RF signal processing and deployment on embedded hardware. The role involves end-to-end research and implementation, working alongside hardware and RF engineers to solve complex problems in contested environments.
Designs and leads SoC software architecture for automotive driver-facing systems, including ADAS alerts, controls, and driver-monitoring tech, focusing on latency, reliability, and edge AI integration.
The Senior Software Engineer II will design, develop, and deploy scalable AI-powered solutions by integrating machine learning models into production environments. The role focuses on MLOps, API development, and optimizing AI workflows using technologies like Python, Docker, Kubernetes, and various cloud AI services.
Own verification of custom AI accelerator hardware for matrix/vector compute engines, ensuring numerical correctness and performance under LLM workloads using SystemVerilog/UVM and reference models.
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