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.
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 that support intelligence analysts and researchers. The role requires deep expertise in scalable, distributed architectures and the ability to work independently in a remote, geographically distributed team.
Develop and lead the technical architecture for LiDAR and cross-sensor 3D sensing systems, focusing on calibration, synchronisation, and alignment across diverse vehicles and environments. Solve complex sensor-fusion challenges involving motion compensation, time synchronisation, and 3D geometry. Provide technical leadership and mentorship while productionising robust, scalable 3D sensing solutions for autonomous driving.
This role involves developing advanced multimodal generative models that enable natural, real-time conversational interactions by integrating text, voice, and video. The engineer will lead research and implementation of low-latency, emotionally expressive AI systems, working across pretraining, post-training, and production deployment. Key focus areas include neural codecs, diffusion models, and streaming architectures to enhance realism and interactivity in Synthesia's AI video platform.
Design and build full-stack applications that streamline model development workflows for autonomous driving systems, including experiment management, training, and on-road testing. Develop scalable backend services and intuitive web interfaces while mentoring engineers and shaping platform architecture. Work closely with researchers and cross-functional teams to deliver secure, observable, and reliable systems that accelerate AI development in a safety-critical environment.
The role involves working closely with government clients and partners to design and deploy AI-driven solutions that address public sector challenges. You will develop technical strategies, create educational content, and support proofs of concept using NVIDIA's AI platforms. The position emphasizes hands-on technical leadership in computer vision, generative AI, and deep learning, with a focus on real-world deployment and cross-cultural collaboration.
This role involves working closely with government clients and partners to design and deploy AI solutions using NVIDIA's hardware and software technologies. The Solution Architect will develop technical strategies, create educational resources, support proofs of concept, and guide field deployments in areas like computer vision, generative AI, and digital twins. Emphasis is placed on translating public-sector challenges into scalable, AI-driven outcomes while advocating for product improvements based on real-world feedback.
This role focuses on designing and operating large-scale AI infrastructure, specifically managing the lifecycle of compute nodes across cloud and on-prem environments. The engineer will lead technical strategy for node provisioning, health monitoring, and automated repair systems, ensuring high reliability and efficiency across Anthropic's GPU, TPU, and Trainium fleets. Collaboration with research, inference, and cloud provider teams is central to shaping long-term infrastructure and compute strategy.
The Senior Solutions Architect role involves designing and configuring AMR solutions for warehouse automation, working closely with the sales team and clients to understand and meet their operational needs. Responsibilities include system sizing, modeling, client engagement, and cross-functional collaboration to ensure the delivery of cost-effective and scalable solutions.
This role involves designing and scaling Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services, and supporting machine learning workflows. The engineer will enhance CI/CD pipelines, implement monitoring and disaster recovery systems, and collaborate closely with data science and ML teams to optimize infrastructure for drug discovery. The position is central to enabling scalable, secure, and reliable computational platforms for biomedical innovation.
This PhD studentship focuses on developing hybrid fault diagnosis methods for wind turbine generators by combining physical drivetrain models with AI-driven data analysis. The research aims to improve early detection of mechanical and electrical faults in offshore wind turbines using advanced condition monitoring systems, with work involving analytical modelling, simulations, finite element analysis, and experimental validation. The project addresses a critical gap in current monitoring systems, which struggle with false alarms and poor detection of electrical faults.
This role involves building technical relationships with global and regional system integrators and cloud partners, enabling their AI practices, and supporting strategic customer deals. You will also gather product feedback and represent Anthropic at partner events.
The Director of Software Engineering will lead a global software development organization, fostering a unified engineering culture across multiple locations. Key responsibilities include driving AI adoption, ensuring high-quality product delivery, and managing engineering budgets and resources.
This role involves leading the strategic and technical adoption of AI across engineering, product, IT, and operations at Becrypt. Responsibilities include identifying AI opportunities, designing secure AI platforms, and developing governance frameworks. The role requires hands-on technical expertise in Docker, Python, FastAPI, TypeScript, and AWS Bedrock.
This role involves hands-on development of machine learning and language model workflows, integrating with various providers, and building robust retrieval systems. You will work on cost optimization, data privacy, and continuous improvement of the system's performance and reliability.
