Future Tech Jobs
Future Tech Jobs
Design and define next-generation system architectures for DPUs and NICs, spanning from hardware to application layers. Focus on cloud networking, orchestration, provisioning, and security solutions while collaborating globally with engineering and customer teams. Develop end-to-end architectures, evaluate emerging technologies, and rapidly prototype innovative solutions.
Design and define next-generation system architectures for DPUs and NICs, spanning from hardware to application layers. Focus on cloud networking, orchestration, provisioning, and security solutions while collaborating with global engineering teams and external customers. Develop end-to-end architectures, evaluate emerging technologies, and lead innovation through rapid prototyping and specification development.
Define and lead the architecture for cloud networking, security, and orchestration solutions spanning hardware to application layers. Develop end-to-end system architectures for DPUs and NICs, create clear specifications, and prototype new technologies. Collaborate globally with engineering, product, and customer teams to shape next-generation data center technologies.
IntroductionWelcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher,...
The RoleFront Office AI Strategy & Implementation Specialist – Boutique Hedge FundMartis Search are delighted to be partnering with a successful and highly entrepreneurial Hedge Fund on what we believe is one of the most innovative and forward-looking opportunities currently...
This role involves designing and delivering AI-driven automation solutions to streamline and enhance complex business processes across various workflows. You will collaborate with engineering teams, product managers, and business architects to build scalable automation services and integrate AI/ML capabilities into real business workflows.
Lead end-to-end deployment of a Kubernetes-based AI simulation platform into customer environments, serving as the primary technical liaison for C-suite stakeholders while building and scaling regional deployment teams. The role combines hands-on infrastructure leadership with executive engagement, ensuring deployments meet technical, security, and compliance standards in highly regulated industries such as aerospace, energy, and semiconductors.
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 leading large-scale deployment of voice assistants, ensuring client success through strategic oversight, quality control, and performance tracking. The strategist acts as the primary point of contact, translating client needs into technical execution while driving adoption and expansion. They work cross-functionally to refine agent design and deliver transformative customer service automation solutions.
This role involves building and managing cloud infrastructure for a cutting-edge AI-driven drug discovery platform. You'll work across the full software lifecycle, focusing on GCP, Kubernetes, and Infrastructure-as-Code to support scientists, ML researchers, and engineers. The position emphasizes technical ownership, cross-functional collaboration, and scaling systems for digital biology innovation.
This role involves providing technical support to internal users, troubleshooting complex IT issues, and developing automation tools to improve efficiency. The engineer will manage third-party integrations, maintain internal workflows, and support onboarding and offboarding processes. Emphasis is placed on collaboration, documentation, and enhancing support systems through scripting and process innovation.
This role involves crafting compelling, technically grounded narratives for a deep-tech AI simulation company, translating complex engineering concepts into accessible content across blogs, social media, events, and internal channels. You'll shape the company's public voice, collaborate closely with engineers and leadership, and build a scalable content operation while maintaining high creative and editorial standards.
This role involves developing and applying machine learning interatomic potentials (MLIPs) to model atomistic systems in materials science, using state-of-the-art frameworks and benchmark datasets. The Research Scientist will design and run experiments on large-scale chemistry and materials data, iterate on model architectures, and translate research into production-ready pipelines. Work is conducted on high-performance computing infrastructure, with collaboration across computational chemists, ML engineers, and customers, and includes publishing research and mentoring team members.
The Research Program Manager will operationalize and coordinate high-impact research initiatives at a deep-tech AI company, translating ambitious scientific goals into structured programs. This role ensures alignment across research, product, engineering, and external partners, maintaining roadmaps, driving delivery rhythms, and enabling breakthroughs in AI-driven physics simulation. The position blends strategic coordination with technical fluency in a fast-scaling environment.
Design and improve platform systems for model training, evaluation, and production serving. Build reliable, scalable infrastructure and tooling for ML workloads, with a focus on automation, observability, and developer experience. Collaborate with researchers and engineers to develop abstractions that reduce operational overhead in GPU and cloud environments.
