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The Senior Architect will lead the development, training, and deployment of computer vision and vision-language models for industrial quality control and automation. This role focuses on building reliable, production-grade AI solutions that operate within the constraints of factory floor environments.
We’re looking for best in class engineers to join our existing top-notch team. When you join Untether AI, you will be part of a team that designs, develops and verifies the software that interacts with our chip,…
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your…
Senior IC building the platform powering AI agents and accelerators for large-scale legal document review—orchestration, retrieval, evaluation, and inference at production scale using Python, TypeScript, and distributed systems.
Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice…
The AI Engineer will transform AI prototypes into scalable production systems by building training and inference pipelines. The role focuses on optimizing LLM performance and managing AI infrastructure using tools like Docker, Kubernetes, and PyTorch.
Senior Embedded Firmware Engineer owning firmware for rugged wearable camera hardware, including imaging pipelines, sensor stacks, and OTA updates on STM32/Nordic platforms using Zephyr RTOS for a construction tech startup.
Backend Engineer designing and scaling backend infrastructure for AI recommendation systems at a fintech company, using Kubernetes, Docker, Ray Serve, and ML serving platforms.
Optimize LLM serving infrastructure for a healthcare AI company — designing multi-node architectures, implementing quantization and speculative decoding, and using CUDA/GPU optimization to achieve sub-100ms inference responses.
Build and maintain end-to-end AI/ML pipelines, deploy models to production, and optimize inference for performance and scalability using cloud-native tools.
Architect, build, and maintain end-to-end AI/ML pipelines—from data ingestion through deployment and monitoring—while implementing MLOps practices and integrating models into enterprise systems on AWS/Azure.
Overview Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will…
Build and embed machine learning models for on-device inference in a Go-based detection engine, optimizing for performance and low resource usage to secure enterprise data for AI adoption.
Design and implement real-time digital signal processing RTL in VHDL/SystemVerilog for Electronic Warfare and SIGINT systems, collaborating closely with RF hardware and embedded software teams.
Lead the design and deployment of AI-enabled embedded systems for automotive/industrial use, optimizing C++/OpenVX pipelines across multi-vendor AI chiplet platforms with safety and security constraints.
The Embedded AI Software Engineer will design and deploy AI-enabled embedded systems for automotive and industrial environments, focusing on model optimization, heterogeneous chiplet integration, and safety-critical software development using C++, OpenVX, and OpenCL.
Design and deploy AI-enabled embedded systems on a multi-vendor AI chiplet platform, bridging hardware, AI accelerators, and software stacks in automotive/industrial environments using C++, OpenVX, OpenCL, and Vulkan.
The Embedded AI Software Engineer will design and deploy AI-enabled embedded systems for automotive and industrial environments, focusing on model optimization and hardware integration. The role involves working with C++, OpenVX, OpenCL, and various AI accelerator toolchains to bridge software stacks with heterogeneous chiplet platforms.
Привет! Это команда "Модерация селлерского контента" Наша команда отвечает за автоматическую модерацию селлерского контента, обеспечивая его соответствие законодательству РФ и правилам маркетплейса. Много…
The AI/ML ASIC Architect will design and define architecture specifications for next-generation AI storage and accelerator solutions, focusing on I/O subsystems and high-performance interfaces like PCIe, CXL, and UCIe. The role involves collaborating with cross-functional teams to optimize performance, power, and area for large-scale LLM training and inference workloads.
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