Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms. Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.
Designing and developing groundbreaking techniques to accelerate high-performance workloads at the intersection of AI, math, and financial systems.
Architecting an AI-native framework: Help design and build a codebase and architecture that scales beyond human capacity, supporting large numbers of AI agents working in parallel to generate, test, and validate production-grade software.
As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery.
Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity. Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling.
Analyzing deep learning networks and developing compiler optimization algorithms. Strong programming skills in CUDA including analyzing and debugging performance bottlenecks on GPUs.
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting. Manage Linux job/workload schedules and orchestration tools. Develop and maintain continuous integration and delivery pipelines.
Invent and build AI-powered systems that enhance software quality, engineering efficiency, and developer workflows.
Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases.
Design and develop learning-based, multimodal sensor-fusion systems that transform synchronized sensor history, ego-motion, navigation context, and driving context into a unified spatiotemporal world representation.
Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with customers during planning calls through implementation.
Design, build, and deploy Agentforce Agents that leverage live CRM data - account planning, opportunity pipeline health, and quoting information - to assist our sales and operations teams in real time.
Build multi-agent workflows: Design and ship systems where specialized agents collaborate to complete research tasks, including task planning, tool use, delegation, handoffs, and result synthesis.
TL;DR Kharon is seeking a full-time Sr. AI Engineer, Retrieval & Agentic Systems based in Madrid.
TL;DR Kharon is seeking a full-time Senior AI Engineer, Retrieval & Agentic Systems based in London.
At Workleap, our engineering teams already ships more than twice as fast with AI. Now we’re expanding beyond code to everything around it: briefs, specs, design, launch, and measurement. The idea is simple: agents do the work, and people make the calls.
At Workleap, turning AI experiments into production capabilities is already part of how we build products and improve internal operations. Our Data team brings strong data engineering and science foundations; this role adds dedicated production AI engineering.
We are looking for a Senior Full Stack Agentic AI Engineer to help build the next generation of proactive travel-planning experiences at Layla. You will work across agent orchestration, backend services, data and retrieval systems, and user-facing product experiences.
Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible.
Defense Unicorns is seeking a Senior Software Engineer to join our Ark team, building an AI-native software development product that helps Mission Heroes create, package, and deliver secure applications into mission environments.
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, AI engineers, and full-stack builders to create intelligent agents used by millions of people every day.
We are looking for a Senior AI Engineer, Generative AI & ML Engineering for the Operational Intelligence Program within B&MI.
Plan, build, and improve background-agent infrastructure that enables reliable, trackable, and repeatable automated engineering work. Develop systems for evaluating agent performance using task outcomes, quality measures, human intervention, cost, and other signals.
You will architect and build the infrastructure behind modern marketing execution, from AI agents and orchestration pipelines to unified data foundations, internal tooling, and production-grade integrations.
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