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Наша команда развивает первый в России недавно созданный маркетплейс транспортных услуг для коммерческих и бюджетных предприятий, позволяющий автоматизировать процессы, сделать их прозрачными и значительно снизить…
Developer Relations Engineer at Nscale builds and scales programs to engage developers with Nscale’s AI infrastructure platform, focusing on content creation, community growth, and feedback loops to drive adoption of AI workloads.
Lead and build the global Developer Relations function for Nscale's AI infrastructure platform—creating technical content, driving developer adoption, representing the company at events, and scaling the DevRel team from the ground up.
Lead AI Engineer architecting and delivering end-to-end AI solutions—classical ML, deep learning, LLMs, multimodal systems, and MLOps—while mentoring a team of AI/ML engineers, based in Pune.
The AI Research Engineer bridges applied research and production engineering by designing and deploying advanced machine learning systems. The role involves building scalable ML pipelines, staying current with AI research, and optimizing models for real-world business applications.
The GPU Software Engineer will design and optimize high-performance CUDA kernels for AI and scientific computing workloads. The role involves profiling GPU code, collaborating with ML teams to improve training and inference pipelines, and working with modern accelerator hardware.
SDE Intern at Annapurna Labs building software—compilers, ML runtimes, firmware, and drivers—for Amazon's custom silicon (Graviton, Trainium, Inferentia, Nitro) using C, C++, and Python.
Shape the Narrative. Amplify Scientific Discovery. Advance Human Health. The Jackson Laboratory (JAX), a global nonprofit biomedical research institution, seeks an experienced and strategic Director, Public Relations…
This role involves architecting and optimizing end-to-end training workflows for robotics foundation models like Cosmos and GR00T. The candidate will work with researchers and engineers to scale multimodal model training and data pipelines across multi-GPU and multi-node systems.
Build and lead AI systems for legal, tax, and compliance domains using LLMs, RAG, and agentic architectures, setting technical standards and driving innovation at a global scale.
Design, build, and operate GPU cluster and platform infrastructure for large-scale AI training and inference workloads, including scheduling, high-performance storage, and networking, using PyTorch, JAX, DeepSpeed, Kubernetes/Slurm, Python, and Go/C++.
Leads strategic AI ecosystem partnerships to design joint architectures for AI infrastructure, spanning data pipelines, model training, and inference serving, while enabling sales teams with technical enablement and market insights.
Builds and optimizes ML infrastructure for Nuro’s autonomous vehicle fleet, focusing on model compression, deployment, and performance improvements (e.g., quantization, distillation) to enhance real-world autonomy.
Builds and optimizes ML infrastructure for Nuro’s autonomous vehicle fleet, focusing on model pipelines, compilers (e.g., FTL), and deployment of optimized models for safe on-road navigation.
Develop synthetic sensor simulation models and algorithms using ML techniques like NeRF and Gaussian splatting to generate photorealistic images and realistic lidar/radar data for autonomous vehicles. Work with Python, PyTorch/TensorFlow/Jax, and collaborate across autonomy and infrastructure teams to improve sensor data realism and utility.
Lead the Behavior & Planning team at Nuro to design, train, and deploy ML models for autonomous driving, turning real-world data into safe, natural driving behavior across robotaxis, logistics fleets, and personal vehicles.
This is a remote position. Venteck seeks a Full Stack Software Engineer to build and scale business-critical web products. The right candidate must possess skills and be experienced in API development. In this role,…
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack…
Build and optimize distributed deep learning pipelines for large-scale genomic data in a cloud environment, collaborating with ML scientists and software engineers to accelerate cancer early-detection models.
Research and implement hardware-aware neural network optimization techniques (quantization, pruning, NAS) and optimize ML inference pipelines and compilers/runtimes (TVM, MLIR, TensorRT, ONNX Runtime) for edge devices at Huawei's Software-Hardware System Optimization Lab in Edmonton.
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