Future Tech Jobs
Future Tech Jobs
Design and optimize compiler technologies for NVIDIA's CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to advance compiler toolchains and influence next-generation compute architectures.
Design and optimize compiler technologies for NVIDIA's next-generation CPUs, focusing on performance improvements for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to advance hardware-software co-design. Develop low-level compiler optimizations and contribute to upstream projects like LLVM and GCC.
Design and develop innovative mechanical systems for cutting-edge products across diverse industries such as green energy, healthcare, and robotics. Break down complex systems, lead technical teams, and guide solutions from concept through to production. Work spans automation, fluidics, and challenging environments, with a focus on original, test-validated hardware solutions.
Design and develop prototype systems using advanced digital signal processing algorithms for US Government applications in wireless communications, sensors, audio, and image processing. Work across the full technology development lifecycle, from proof-of-concept to implementation on diverse platforms. Collaborate with clients to deliver novel capabilities grounded in cutting-edge signal processing theory and practical engineering.
Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your...
This role involves working on the ML platform of a leading prop trading fund, focusing on enhancing research workflows, building and maintaining training and inference infrastructure, and applying various ML techniques to aid decision-making. The team values a strong mathematical foundation and a passion for the latest advancements in ML.
Acts as a trusted advisor to C-suite stakeholders, leading end-to-end scoping and delivery of high-value AI solutions for strategic customers. Owns product definition, value quantification, and agile project execution from discovery to production launch. Bridges business and technical teams to deliver measurable outcomes using the Databricks platform.
This role involves developing and validating novel evaluation methods for multimodal language models and agents, with a focus on perception tasks like audio and vision. The scientist will analyze large datasets to identify model gaps, interpret failures, and collaborate with training teams to improve model performance. Work is centered on advancing hardware-software integration for efficient on-device AI in Amazon's consumer products.
Develop and evaluate AI-powered weather forecasting systems for African farming communities, focusing on sub-seasonal and spatio-temporal models. Design modular deep learning architectures integrating remote sensing and numerical data, and collaborate with UK and African partners to operationalize solutions. Work within an end-to-end forecasting team to publish results and support field testing in Ghana and Senegal.
Lead the transition and operation of the Accounts Receivable function from the UK to Sofia, managing a team and ensuring business continuity during the move. Oversee complex billing resolution, customer relationships, and financial controls while building process documentation and driving long-term improvements in a newly established Global Shared Service Centre.
This role involves leading business development and delivery for an AI-driven engineering simulation platform within the aerospace and defense sector. The individual will identify and close opportunities, manage strategic customer relationships, lead technical delivery projects, and translate field insights into product improvements. It combines technical depth in engineering simulation with commercial leadership and cross-functional execution in a high-impact, deep-tech environment.
This role involves designing and prototyping novel generative machine learning models for protein design, with close collaboration between computational and experimental teams. The scientist will build scalable data pipelines, optimize deep learning models for performance, and iteratively refine models based on wet lab feedback. A strong emphasis is placed on code quality, interdisciplinary collaboration, and translating model outputs into real-world biological functions.
Design and develop novel generative machine learning models for protein design, integrating with wet lab validation cycles. Work in a cross-disciplinary team to build scalable data pipelines, optimize model performance, and deploy models that function in real-world biological assays. Engage in continuous learning of protein and cell biology to inform model development and contribute to scientific advancement in synthetic biology.
Lead and develop a team of infrastructure engineers while driving technical strategy for systems supporting AI research and development. Focus on operational stability, automation, and infrastructure-as-code across bare metal GPU clusters, virtualized environments, and Kubernetes. Own incident response, capacity planning, and vendor relationships while fostering engineering growth through coaching and career development.
The Infrastructure Team Lead will lead a team of engineers while driving technical strategy across the full infrastructure stack, from bare metal GPU clusters to internal services. The role involves hands-on work with infrastructure-as-code (Terraform, Ansible, Helm), automation, and operational reliability, alongside coaching engineers and shaping career development. This position is central to scaling and stabilising systems that support AI research and development in a high-impact engineering environment.
