Future Tech Jobs
Future Tech Jobs
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.Today, we’re tapping into the unlimited potential of AI to define the...
As a Solutions Architect, you will collaborate with NVIDIA Cloud Partners to implement innovative GPU and AI solutions, support customers through the entire lifecycle of large-scale GPU infrastructure projects, and work closely with sales and business teams to identify and secure opportunities. You will also conduct technical meetings, build PoCs, and prepare technical content for customers.
This role involves designing and developing innovative and intuitive user interfaces for a variety of clients, including therapeutic devices and smart systems. You will work within an agile team, collaborating with front-end developers, UX designers, and other specialists to deliver top-notch digital solutions and stay up-to-date with the latest UI and AI technologies.
This role involves leading the deployment of cutting-edge AI models into production environments by working directly with customer teams. The engineer will scope, build, and deliver full-stack solutions while identifying reusable patterns and providing feedback to shape OpenAI’s product roadmap. Success requires navigating ambiguity, making rapid technical decisions, and ensuring high-quality delivery across complex systems.
The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our...
This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues at the research-infrastructure boundary, and translate validated findings into production training recipes. Work is highly collaborative, sitting at the intersection of empirical research and large-scale systems engineering.
This role involves serving as a trusted security expert for Anthropic's enterprise customers, engaging with CISOs and security leaders to address critical security and compliance questions. You will lead technical discussions on data protection, network architecture, and regulatory standards, and collaborate with internal teams to influence product development and create security-focused materials.
This role involves building a cutting-edge deep learning platform for a prop trading firm, focusing on neural networks, transformers, and LLM-driven research. You'll work in a greenfield environment with significant autonomy to shape the research stack and contribute to multi-modal modelling and modern NLP systems.
This role involves building a cutting-edge HPC and distributed systems platform for a prop trading firm. You'll work in a greenfield environment, shaping the research stack and infrastructure from scratch, with a focus on GPU-heavy workloads and distributed training. The team structure is pod-like, offering significant strategic influence and collaboration.
This role involves advancing the state of the art in model post-training, writing high-performance software, and coordinating with specialist teams to produce models with strong performance. You will work closely with top researchers and engineers, leveraging Cohere's extensive compute and data resources to optimize and deploy cutting-edge AI models.
As a Member of Technical Staff, you will design and build AI systems, research and implement novel ideas on supercompute infrastructure, and collaborate closely with top researchers. The role offers a unique blend of engineering and research, with a focus on advancing the state of the art in AI.
As a Research Engineer, you will work at the intersection of research and engineering, developing and deploying ML and computational systems to support rapid experimentation and improve research workflows. You will collaborate with interdisciplinary teams, tackle challenges involving large datasets and complex models, and optimize our hybrid on-prem/cloud environment.
This role involves developing and refining generative machine learning models for protein design, with a strong focus on real-world biological applications. The candidate will work closely with interdisciplinary teams to translate model outputs into wet lab experiments, iterating based on empirical feedback. A significant component includes optimizing data pipelines, model performance, and staying current with advances in both ML and synthetic biology.
As a Software Engineer focused on GPU infrastructure, you will play a key role in designing, optimizing, and managing the large-scale AI/ML infrastructure at Isomorphic Labs. You will collaborate with machine learning experts, biotech researchers, and various teams to ensure the efficient and reliable operation of the company's cutting-edge AI models and hardware.
This role involves applying theoretical physics knowledge to solve real-world engineering challenges across industries like Healthcare, Defence, and Energy. You will work on diverse projects, from developing novel imaging systems to reverse-engineering complex instruments, while receiving mentoring and training to grow your career.
