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Own the perception stack at a defense technology company building autonomous systems that detect and track aerial threats: design detection, tracking, and sensor-fusion architecture, train computer vision models, and deploy them on-device within tight latency budgets. Key tech: Python, C++, TensorRT/ONNX, EO/IR fusion.
Hands-on engineering manager at Deloitte's NVIDIA-partnered AI team, leading AI software engineers to design, build, and deliver LLM/multimodal agentic systems optimized for NVIDIA GPUs. Combines people and project management, hands-on Python coding and architecture, and client-facing technical leadership.
Senior systems-focused AI engineer at Orca AI building and optimizing real-time computer vision pipelines on edge hardware (NVIDIA Jetson, Triton) that process live video from vessels for maritime collision prevention. Day-to-day work centers on profiling and tuning CPU/GPU/memory performance, deploying production CV models, and ensuring reliability in safety-critical conditions.
Staff ML engineer at Nebius Token Factory owning LLM inference optimization end to end: turning model artifacts into fast, reliable, cost-efficient serving endpoints. Day-to-day work spans quantization, speculative decoding, KV-cache tuning, benchmarking harnesses, and engines like vLLM, SGLang, and TensorRT-LLM, built in Python/PyTorch.
Overview about Ripik.AI Ripik.ai is an Accel-backed Applied AI company building computer vision and process-optimization agents for the world's largest industrial enterprises across steel, cement, aluminum,…
About the company We're a frontier AI lab building our own foundation model for safety-critical embedded control software. Think motor controllers, battery management, power electronics and vehicle systems, where a…
Кого мы ищем Ищем Middle / Middle+ Computer Vision engineer, который умеет не просто строить модели, а делать их работающими в реальных условиях: на edge‑устройствах, в режиме реального времени, с ограниченными…
An engineer/researcher role focused on optimizing LLM inference on modern GPUs: developing and tuning CUDA kernels, analyzing GPU memory and execution bottlenecks, and benchmarking latency and throughput with frameworks like vLLM, SGLang, and TensorRT-LLM. Deep CUDA/GPU programming and low-level performance debugging skills are central to the day-to-day work.
Обязанности: проектирование и внедрение ИИ-агентов, а также многоэтапных конвейеров обработки данных; определение оптимального стека моделей для каждого этапа обработки; обеспечение сквозного сохранения состояния…
AI Engineer at Motive in Bangalore works across the full ML stack: training and evaluating perception models for visual, audio, and fleet sensor data, then deploying them to production across edge and cloud. Core stack includes Python, PyTorch, a systems language (C++/Go), on-device ML runtimes, and distributed training/evaluation systems.
Develop and deploy machine learning solutions for computer vision and robotics applications. You will manage the end-to-end ML lifecycle, research deep learning advancements, and optimize internal AI frameworks using Python, C++, and PyTorch to solve real-world automation challenges like precision-handling and inspection.
"1、跟踪 MiniCPM、Qwen、Gemma、Phi 等小模型路线，做模型结构选型与端侧部署成本评估。 2、研究端侧多模态：图像 / 视频 / 语音 / 传感器与文本融合、视觉 token、动态分辨率、OCR、设备状态理解。 3、做后训练与任务对齐：SFT、偏好优化、拒答与安全策略、工具调用能力训练 4、用大模型蒸馏与数据合成，把云端能力压进小模型。 5、做量化与推理优化：GGUF / AWQ / GPTQ、INT4 /…
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation…
We’re looking for a Staff/Senior Software Engineer to technically lead and build Runware’s serverless platform. You’ll be part of a small team working closely with senior leadership to bring a new product line to…
AI Engineer at CareCam who designs and trains 2D/3D computer vision models behind the 3DGait clinical gait-analysis product, builds SLM-based RAG pipelines for constrained clinical hardware, and supports testing, validation, and SaMD regulatory documentation. Core stack: Python, PyTorch/TensorFlow, RAG, edge deployment (ONNX/TensorRT), AWS/GCP.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next…
Project description Designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer device - with focus on real-time performance, power efficiency, and production robustness…
Career Area: Engineering Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.…
NVIDIA is seeking talented engineers to join the TensorRT team and advance high-performance AI inference on NVIDIA GPUs. Our team develops software that accelerates state-of-the-art generative AI models for local and…
The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development…
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