This role involves designing, building, and maintaining scalable data processing systems for CrowdStrike's Intelligence team. You will work on large-scale distributed systems, interact with analysts, and ensure smooth operations of the systems you develop.
This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems, as well as interacting with internal customers to gather requirements and provide training.
The Senior Developer Relations Manager will engage with software solution providers, developers, and industry professionals to foster the adoption of NVIDIA’s advanced AI and computing platforms. Key responsibilities include serving as a technical advisor, accelerating workloads, and guiding partners through onboarding and integration.
This role involves serving as a technical advisor and champion for the developer ecosystem in Healthcare and Lifesciences, accelerating workloads by integrating NVIDIA’s AI and computing platforms, and fostering co-innovation with partners. Responsibilities include technical enablement, ecosystem mapping, and cross-functional collaboration to drive adoption and solve real-world challenges.
This role involves defining and delivering AI-powered product solutions that start with legal teams and extend across enterprise functions like compliance, procurement, and finance. The Product Manager will lead roadmap planning, translate complex user challenges into scalable workflows, and collaborate with AI engineers, designers, and legal experts. Emphasis is placed on building intuitive, enterprise-ready tools that ensure regulatory compliance, operational efficiency, and cross-functional alignment.
This role involves advancing reinforcement learning in large language models, focusing on developing agentic systems for computer use, code generation, and reasoning. The engineer will build scalable RL infrastructure, design training environments, and collaborate across research and engineering to implement safety and performance improvements at scale.
Design and implement end-to-end AI/ML systems using generative AI, LLMs, and agentic frameworks to extract insights from biomedical literature and data. Focus on production-grade reliability, model quality, and collaboration with product and engineering teams to deliver user-facing features. Mentor junior engineers and contribute to a culture of technical excellence and knowledge sharing.
This traineeship provides hands-on experience in AI and automation technologies, focusing on practical projects such as building AI-powered workflows, chatbots, and automated business processes. Trainees will develop a professional portfolio by working on real-world applications including prompt engineering, no-code automation, and AI-integrated solutions across marketing, customer service, and operations. The programme emphasizes skill development in emerging areas like generative AI, autonomous agents, and responsible AI practices.
This role involves leading the development and architecture of safety cases for AI-driven autonomous driving systems, focusing on robotaxi and ADAS products. The engineer will define safety claims, argument structures, and evidence strategies while providing independent oversight across engineering and product teams. It requires deep expertise in functional safety, SOTIF, and AI safety standards to ensure rigorous, scalable safety arguments that withstand regulatory and customer scrutiny.
This role involves assessing and implementing AI and Agentic AI technologies to enhance data security and operational effectiveness. The consultant will work closely with the CTO organization and security teams to identify risks, develop control frameworks, and ensure secure AI adoption.
This senior engineering role involves leading the technical direction and architecture of Aveni's core platform services, focusing on reliability, security, and data management. Responsibilities include designing scalable services, building APIs, and mentoring a team of engineers while remaining hands-on with Node.js and AWS.
The Solutions Engineer role involves working closely with clients, sales, product, and engineering teams to design and deliver technical solutions for AI integrations in financial services. Responsibilities include technical qualification, requirements gathering, integration planning, and supporting go-live processes.
This role involves developing and maintaining high-scale simulation systems for Wayve’s embodied AI driving technology. You'll work across C++ and Python to integrate components of the end-to-end driving stack, improve simulation accuracy and reproducibility, and support both open-loop and closed-loop workflows. The position emphasizes debugging complex systems, performance optimization, and close collaboration with robotics, autonomy, and data teams to deliver reliable, scalable simulation infrastructure.
Design and maintain scalable data pipelines for training speech AI models, develop data acquisition systems, and operate the ML platform for training, evaluation, and serving. Focus on improving data quality, system reliability, and MLOps practices across distributed infrastructure. Work closely with ML teams to accelerate model deployment and iteration.
This role focuses on building and maintaining scalable data pipelines and ML infrastructure for training and serving speech AI models. You'll work across the full stack—from data ingestion and web scraping to model deployment and observability—ensuring high-quality, reliable data flows and efficient training workflows. The position emphasizes end-to-end ownership of MLOps systems within a distributed, cross-functional ML team.
