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Design and optimize semiconductor process flows for DRAM chips, using statistical tools like JMP to improve yield and reduce costs while collaborating with cross-functional teams.
Lead product strategy for NVIDIA’s AI inference tools and SDKs, collaborating with developers to optimize GenAI deployments on GPUs.
Develop and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize GPU performance for training and inference workloads.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Build and ship state-of-the-art voice conversion and speech models end-to-end, from data curation to production inference, using large-scale diffusion/flow-matching transformers and PyTorch.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Build and scale the distributed training infrastructure for a cutting-edge video-generation AI model, optimizing multi-GPU clusters and data pipelines for stability and performance.
Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI About the Role Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI…
Senior ML engineer optimizes PyTorch models for real-time, on-vehicle deployment, using quantization and distillation to meet tight latency and memory constraints.
Build and deploy AI-powered transport applications using LLMs, computer vision, and agentic systems to optimize Singapore’s land transport network.
Senior Python developer builds and integrates AI/ML services for a global vehicle-claims platform, using FastAPI, AWS ML, and DevOps tooling.
Build and evaluate AI models (PyTorch/JAX) and help productionize them into APIs and batch workflows under senior guidance.
Staff Software Engineer on Google's MARC team co-designing ML systems between frontier ML workloads and TPU silicon roadmaps, using JAX, PyTorch, Pallas, and XLA.
Build and scale multi-cluster GPU infrastructure for training tabular foundation models, optimizing cost and throughput while owning Slurm clusters, scheduling, and distributed training performance.
Build and operate MLOps pipelines for enterprise AI that runs on-prem and air-gapped factory floors, handling model training, versioning, serving, monitoring, and safe rollouts across GPU and edge devices.
Build and optimize AI frameworks, compilers, and runtimes to run large language models efficiently at cloud scale, profiling and benchmarking across GPUs and Microsoft silicon.
Drive the end-to-end delivery of Scale AI’s Generative AI Platform (SGP), aligning engineering, product, and leadership to ship scalable, secure infrastructure for global GenAI deployments.
Sr. Data Infrastructure & Quality Engineer Location: San Francisco, CA Department: Autonomy At Ouster, we are pioneering the future of Physical AI. Our advanced vision algorithms and cutting-edge sensor hardware…
Design and lead robotics R&D programs using AI, digital twins, and NVIDIA Omniverse to build autonomous systems and scalable industrial solutions.
Design and deploy AI-driven robotic systems using platforms like NVIDIA Omniverse and Isaac Sim, integrating perception, planning, and control for industrial and service applications.
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