Future Tech Jobs
Future Tech Jobs
This role involves analyzing end-to-end performance of large-scale AI workloads across compute, networking, storage, and software stacks. The engineer will design performance studies, diagnose bottlenecks, and develop optimization strategies for AI systems running on NVIDIA's DGX Cloud infrastructure. Work includes close collaboration with deep learning engineers, platform teams, and architects to deliver measurable performance improvements at scale.
This role involves designing, optimizing, and maintaining high-performance deep learning inference software for large-scale language and generative AI models. The engineer will work on GPU-accelerated frameworks like vLLM, SGLang, and FlashInfer, implementing cutting-edge algorithms and performance improvements across NVIDIA's full range of accelerators. Collaboration with open-source communities and cross-team partners is central to advancing model serving efficiency and deployment at scale.
Lead high-impact research initiatives to develop AI-driven simulation models for engineering and physical systems, translating complex physics problems into mathematical and machine learning formulations. Collaborate with cross-functional teams to integrate research into production, publish findings, and mentor junior researchers. The role emphasizes innovation in deep learning for PDEs, geometric data, and generative modeling with real-world industrial applications.
Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.
Conducts in-depth investigations into sophisticated threat actors exploiting OpenAI's models and infrastructure, with a focus on identifying and disrupting malicious use in cyber operations. Develops AI-assisted tooling and automation to scale detection and response capabilities. Translates technical findings into actionable intelligence for security and leadership teams across a global environment.
This role involves partnering with sales teams to architect and demonstrate CrowdStrike’s Falcon Platform solutions tailored to enterprise customer environments. The engineer conducts technical discovery, delivers proof-of-concepts, addresses competitive challenges, and contributes to product feedback loops. They also mentor junior engineers, refine sales engineering processes, and stay ahead of evolving cybersecurity threats to guide customer engagement strategies.
This role involves building and scaling the reliability foundations of an AI cloud platform, including model development and GPU compute systems. The engineer will define SRE frameworks, ensure platform resilience, and enable scalable AI deployment through automation and observability. It's a founding role requiring deep expertise in distributed systems, Kubernetes, and cloud infrastructure.
Lead and conduct incident response engagements for high-profile cybersecurity breaches, performing forensic analysis across Windows, Mac, and Linux systems. Develop detection methods, analyze network and host data, and produce detailed reports for stakeholders including legal teams and executives. Contribute to thought leadership through public speaking and technical publications.
Act as a trusted technical advisor for Databricks' largest customers, designing and promoting adoption of the Lakehouse platform to solve complex data challenges. Lead customer engagements, develop solution strategies, and deliver workshops while collaborating with cross-functional teams. Contribute to technical thought leadership and help shape customer success through innovation in data intelligence and AI.
Leads a cluster of four data science teams focused on logistics and fulfillment optimization, driving the deployment of machine learning and operations research models into production. Works at the intersection of algorithmic research and physical systems to improve routing, delivery estimates, forecasting, and warehouse operations. Emphasizes strong collaboration between data science and engineering to deliver scalable, real-world impact.
Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.
Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.
This role involves working within a cross-functional product squad to solve customer and business challenges using data. The Senior Product Data Scientist will use SQL and Python to build analytical solutions, run experiments, and influence product decisions through data-driven insights. The position emphasizes hypothesis testing, statistical analysis, and clear communication of findings to shape product development.
This role involves identifying and developing sales opportunities for enterprise technology solutions, engaging with senior stakeholders, and supporting commercial discussions. You'll gain hands-on experience in AI, SaaS, and cloud technologies while working within a structured graduate programme focused on long-term career growth in business development and consulting. The position offers mentorship, training, and exposure to real-world sales cycles in a high-performance environment.
This role involves troubleshooting and supporting enterprise software systems while gaining hands-on experience with AI, cloud technologies, and programming languages like Python and JavaScript. You'll work alongside experienced engineers, contribute to system improvements, and develop skills across a range of modern tech platforms. The position offers a structured career pathway into software engineering within a learning-focused environment.
