Member of technical staff (Infrastructure)

About H:At H, we are dedicated to redefining the landscape of superintelligence through cutting-edge agentic AI. Our mission is to automate intricate, multi-step processes traditionally executed by humans, empowering AI agents to fully unlock human potential.We are on the lookout for the brightest minds in AI, individuals committed to not only advancing grou…

About H:At H, we are at the forefront of advancing superintelligence through agentic AI. Our mission is to automate complex, multi-step tasks traditionally performed by humans, empowering individuals to realize their full potential.We are on the lookout for exceptional AI talent who is committed to building technology that is both innovative and responsibly developed. Our culture encourages openness, continuous learning, and collaboration, ensuring that every team member’s voice is valued.About the Team: The Inference team is dedicated to developing and refining the inference stack that powers our cutting-edge agent technology. We prioritize optimizing hardware utilization to achieve high throughput, low latency, and cost-effectiveness, ensuring a smooth user experience.Key Responsibilities:Build scalable, cost-effective inference pipelines with low latency.Enhance model performance focusing on memory usage, throughput, and latency through advanced techniques, including distributed computing, model compression, quantization, and caching.Create specialized GPU kernels for critical tasks, including attention mechanisms and matrix multiplications.Work closely with H's research teams to optimize model architectures for improved inference efficiency.Review and implement insights from state-of-the-art research papers to enhance memory utilization and reduce latency (e.g., Flash Attention, Paged Attention, Continuous Batching).Prioritize and implement leading-edge inference techniques.Requirements:Technical Skills:Master's or PhD in Computer Science, Machine Learning, or a related field.Proficiency in at least one programming language: Python, Rust, or C/C++.Experience in GPU programming, including CUDA, OpenAI Triton, or Metal.Familiarity with model compression and quantization techniques.Soft Skills:A collaborative mindset, thriving in dynamic and multidisciplinary teams.Excellent communication and presentation skills.A passion for exploring new challenges.Bonuses:Experience in related fields and a passion for AI advancements could be advantageous.

About H:H is at the forefront of advancing superintelligence through agentic AI. Our mission is to automate intricate, multi-step tasks traditionally handled by humans, enabling AI agents to unlock the full potential of human capabilities.We are on the lookout for the brightest minds in AI—individuals who are as committed to responsible and safe development as they are to pioneering groundbreaking agentic technologies. At H, we cultivate an environment characterized by openness, collaboration, and continuous learning, encouraging every team member to contribute their unique insights.About the Team: The Agent team is dedicated to designing innovative learning algorithms and paradigms that expand the capabilities of agentic systems. We leverage foundational models and reinforcement learning to explore new methodologies for training artificial general agents, collaborating closely with our LLM/VLM and Safety teams to forge new paths in AI development.This role is deeply rooted in engineering within our research team. You will play a pivotal role in architecting and building robust, scalable systems that serve as the backbone of our research initiatives. Your contributions will transform cutting-edge research ideas into high-performance, production-ready platforms that drive the next evolution of agentic AI.

Location: Paris About H H is focused on advancing superintelligence through agentic AI. The team builds AI agents that automate complex, multi-step tasks typically handled by people, aiming to expand what humans can achieve. The company values safety, responsibility, and technical ambition. Openness, ongoing learning, and collaboration shape the culture, and every team member’s perspective matters. About the Inference Team The Inference team designs and improves the infrastructure behind H-models, which power the company’s agent technology. The group’s main goals are to optimize hardware use for high throughput, low latency, and cost efficiency, so users get a seamless experience. What You Will Do Design and build scalable inference pipelines that deliver low latency and control costs. Boost model performance by optimizing memory use, throughput, and latency, using methods like distributed computing, model compression, quantization, and caching. Develop custom GPU kernels for tasks where speed is critical, such as attention mechanisms and matrix multiplications. Work closely with H’s research teams to refine model architectures and improve inference efficiency. Keep up with new research in the field, reviewing recent papers and techniques to improve memory, throughput, and latency (for example: Flash attention, Paged Attention, Continuous batching). Identify, prioritize, and implement the latest inference techniques. Requirements Technical Skills: Master’s or PhD in Computer Science, Machine Learning, or a related field. Skilled in at least one programming language: Python, Rust, or C/C++. Experience with GPU programming frameworks such as CUDA, Open AI Triton, or Metal. Knowledge of model compression and quantization methods. Soft Skills: Works well in collaborative, multidisciplinary teams. Strong communicator and comfortable presenting ideas. Eager to take on new challenges.

Join Our TeamAdaptive ML is an innovative AI startup at the forefront of technology, specializing in the development of a Reinforcement Learning Operations (RLOps) platform. We empower enterprises to tailor and implement large language models (LLMs) into production, delivering measurable impact.Our platform provides essential infrastructure for tuning, evaluating, and serving specialized models at scale, leading the charge in task-specific LLM development and managing production-ready workflows that handle millions of requests while optimizing performance and cost across distributed systems.Our dedicated team has a rich background in creating pioneering open-access large language models. With a $20M seed investment secured from Index Ventures and ICONIQ in early 2024, we are already operational with esteemed clients such as Manulife, AT&T, and Deloitte, particularly in the travel and financial sectors — with more exciting developments on the horizon.As a Technical Staff Member, you will play a critical role in developing the foundational technologies that drive Adaptive ML, closely collaborating with our Commercial and Product teams to meet their needs. We focus on building resilient, efficient technology and conducting impactful research at scale to guide our roadmap and enhance the value we deliver to our clients.Role OverviewThis position is an open role within our Technical Staff. If you find any of the following responsibilities resonate with your skills, we encourage you to apply!As a member of the Technical Staff, your primary focus will be on enhancing our internal LLM Stack, Adaptive Harmony. We approach generative AI through a “big science” lens, merging large-scale engineering with thorough empirical research. We prioritize scalability and systematic empirical validation. We seek driven, business-oriented, and ambitious candidates eager to facilitate the real-world deployment of a highly technical product. Given the early-stage nature of this role, you will have the chance to influence our research initiatives and product development as we expand.Please note: This position requires in-person attendance at our offices located in Paris or New York.Key Responsibilities:Develop robust software using Rust, creating interfaces between user-friendly Python recipes and high-performance distributed training code operating on hundreds of GPUs.Profile and optimize GPU inference kernels utilizing Triton or CUDA, identifying memory bottlenecks and enhancing latency, along with establishing effective benchmarking for inference services.

Join Our Innovative TeamAdaptive ML is an emerging leader in AI technology, dedicated to creating a cutting-edge Reinforcement Learning Operations (RLOps) platform. Our mission is to empower enterprises to customize and implement large language models (LLMs) that deliver tangible results.We offer the foundational infrastructure necessary for tuning, assessing, and deploying specialized models at scale, driving advancements in task-specific LLM development while managing production workflows that handle millions of requests efficiently and cost-effectively across distributed systems.Our close-knit team comprises experts who previously contributed to the development of state-of-the-art open-access large language models. With a successful $20M seed funding round led by Index Ventures and ICONIQ in early 2024, we are already operational, serving clients like Manulife, AT&T, and Deloitte in various sectors, including travel and finance.Our Technical Staff is at the heart of Adaptive ML, crafting the essential technology that supports our objectives while closely collaborating with our Commercial and Product teams. We are committed to developing resilient and efficient technologies and conducting impactful research that aligns with our strategic goals and enhances customer value.Internship OverviewThis internship position is open within our Technical Staff. If you find any of the following aspects appealing, we encourage you to apply.As a Technical Intern, you will play a vital role in developing components of the core technology that drives Adaptive ML, specifically within our internal LLM stack, Adaptive Harmony. We believe that generative AI thrives on the fusion of robust engineering and thoughtful experimentation, and our interns gain exposure to both realms.In this role, you will collaborate with seasoned engineers and researchers, receive mentorship, and contribute to meaningful projects that support production systems and ongoing research initiatives. This position is designed for proactive students or early-career engineers eager to gain hands-on experience in applied machine learning systems.Please note: This is a 6-month in-person internship based in our Paris office or NYC office.Typical Responsibilities of the Technical Team include:Design and implement robust software in Rust, seamlessly connecting user-friendly Python scripts with high-performance distributed training algorithms operating on hundreds of GPUs.Analyze and enhance GPU inference kernels using Triton or CUDA, pinpointing memory constraints and optimizing latency while determining effective benchmarking methodologies for inference services.Collaborate on additional technical tasks that contribute to the overall success of our projects.

Why Join Nebius?Nebius is at the forefront of revolutionizing cloud computing to meet the demands of the global AI economy. We empower our clients with the necessary tools and resources to tackle real-world challenges and innovate industries without incurring significant infrastructure costs or establishing large in-house AI/ML teams. Our team operates at the cutting edge of AI cloud infrastructure, collaborating with some of the most seasoned and creative leaders and engineers in the industry.Our Work EnvironmentWith headquarters in Amsterdam and listed on Nasdaq, Nebius boasts a global presence with R&D centers spread across Europe, North America, and Israel. Our workforce comprises over 1400 employees, including more than 400 highly skilled engineers with extensive expertise in hardware and software engineering, complemented by an in-house AI R&D team.At Nebius, you will have the chance to work with state-of-the-art technologies in data operations, cloud computing, and infrastructure management. As global data center operations expand, you will find numerous opportunities for career advancement. Your role in the data center will directly influence performance, customer satisfaction, and overall efficiency, with the chance to contribute to new data center projects. You will collaborate with experts in AI data center development and operations, gaining valuable insights from leaders in the field. This environment nurtures innovation and allows you to develop solutions that surpass industry standards in design and implementation.

We are seeking a skilled Infrastructure Technical Architect to spearhead our IT infrastructure transformation. This role is pivotal in implementing innovative solutions that leverage the latest technologies, including cloud computing, infrastructure as code, and DevOps practices.Main ResponsibilitiesEstablishing a hybrid cloud environment, enhancing our development and testing platforms in the public cloud, and migrating to 'as a service' infrastructure solutions for storage and backup.Redesigning and expanding our Active Directory to integrate with Microsoft Azure.Identifying suitable infrastructure components and architectures to support various business initiatives, while providing expert recommendations for cutting-edge solutions.Main ActivitiesInvestigating technical solutions to optimize or establish infrastructure services.Evaluating multiple scenarios and providing strategic recommendations.Drafting high-level and low-level technical documentation.Contributing to the development of infrastructure solutions.Advising, proposing, and validating the infrastructure necessary for business projects.

Join iliad, a leading telecom company, as a Technical Lead for Civil Engineering & Telecom Infrastructures. In this role, you will spearhead innovative projects in the dynamic field of telecommunications infrastructure. Your expertise will be crucial in ensuring the successful implementation of civil engineering solutions that enhance our network capabilities.As a key member of our team, you will lead initiatives that involve collaboration with various stakeholders, manage project timelines, and ensure compliance with industry standards. Your technical knowledge and leadership will drive our mission to deliver high-quality telecommunications services to our customers.

Why Join NebiusNebius is at the forefront of cloud computing, dedicated to empowering the global AI economy. We provide innovative tools and resources that enable our customers to tackle real-world challenges and revolutionize industries without incurring hefty infrastructure costs or the necessity of extensive in-house AI/ML teams. Our workforce operates at the cutting edge of AI cloud infrastructure, collaborating with some of the most experienced and innovative leaders and engineers in the industry.Our Work EnvironmentHeadquartered in Amsterdam and publicly traded on Nasdaq, Nebius boasts a worldwide presence with R&D hubs across Europe, North America, and Israel. Our team comprises over 1,400 employees, including more than 400 highly skilled engineers with profound expertise in both hardware and software engineering, along with a dedicated in-house AI R&D team.The RoleWe are seeking a Data Center IT Infrastructure Engineer to diagnose and resolve IT hardware issues within our data center, focusing on RMA processes. This role requires a technical expert adept at navigating multiple technical and operational domains.Your Responsibilities Will IncludeTroubleshoot complex firmware and hardware issues related to servers, necessitating a deep understanding of system architecture and advanced troubleshooting techniques.Implement effective workarounds and solutions for various IT hardware problems.Serve as a subject matter expert and a point of escalation for Level 1 and Level 2 technicians.

About H:At H, we are committed to redefining the potential of superintelligence through agentic AI. Our mission is to automate intricate, multi-step tasks traditionally carried out by humans, enabling AI agents to unlock the full spectrum of human capability.We are on the lookout for the brightest minds in AI, those who are as passionate about developing safe and responsible technologies as they are about pioneering transformative agentic functionalities. We foster a collaborative culture where transparency, continuous learning, and contribution from every team member are valued.About the Team: The Models team is at the forefront of creating the foundational models that fuel our cutting-edge agentic technologies. We concentrate on optimizing training techniques specifically designed for agent applications, ensuring peak performance with economical inference costs. Our scope includes the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), empowering agents to interpret, comprehend, and interact within intricate environments. We actively enhance these models through innovative training strategies aimed at improving instruction adherence, tool utilization, and dynamic interaction using extensive reinforcement learning and reward modeling methods. Operating at the crossroads of research and practical application, we strive to convert pioneering research into actionable solutions that propel the evolution of AI. We invite enthusiastic and skilled individuals to join us in sculpting the future of superintelligent AI.Key Responsibilities:Design and train sophisticated LLMs and VLMs, including multimodal architectures.Investigate and implement training methodologies to enhance capabilities such as instruction compliance and tool application.Architect and refine data pipelines and training infrastructures for large-scale distributed training efforts.Collaborate with multidisciplinary teams to integrate models into agentic AI frameworks.Assess model performance and relay insights to stakeholders.Stay abreast of advancements in LLMs, VLMs, and associated domains.Requirements:Technical skills:Proficient programming skills (Python, Git).In-depth knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow).Experience in large-scale distributed training of LLMs and VLMs.Hands-on experience with LLM training and optimization processes.

About UsAt Cohere, our mission is to harness and scale intelligence for the benefit of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create transformative AI solutions such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment to advancing AI is pivotal to its widespread adoption.We have a passion for our craft and take pride in the quality of our work. Each team member plays a vital role in enhancing the capabilities of our models and delivering exceptional value to our customers. We embrace a fast-paced work environment where our focus is always on achieving the best outcomes for those we serve.Cohere is comprised of a diverse team of top-tier researchers, engineers, designers, and more, all dedicated to excellence in their respective fields. We believe that a variety of perspectives is essential for creating outstanding products.Join us in our mission to shape the future of AI!Role OverviewAs a Training Infrastructure Engineer, you will play a crucial role in enhancing our model training pipelines, deploying state-of-the-art models into production, and bridging the gap between research and real-world application. With one of the highest compute-to-engineer ratios globally, our team thrives on collaboration, where the lines between engineering and research are blurred. Every team member actively contributes to writing production code and supporting our research initiatives based on their interests and the organization's needs. You will have access to the compute resources, data, and talent necessary to excel in your role.Please note: Although we have offices in London, Paris, Toronto, San Francisco, and New York, we fully support remote work, allowing you to work from anywhere.Key ResponsibilitiesDesign and develop high-performance and scalable software for training purposes.Enhance our training infrastructure and codebase for optimal performance.Create and implement tools to accelerate our training processes and boost the efficiency of our infrastructure.Conduct research and experimentation with innovative ideas on our supercomputing and data infrastructure.Collaborate with the leading researchers in the field to enhance your skills and knowledge.

We are seeking an experienced Senior Infrastructure Delivery Manager to lead our IT infrastructure transformation initiatives. This role is pivotal in implementing innovative solutions that leverage cutting-edge technologies such as cloud computing, infrastructure as code, and DevOps methodologies.Main ResponsibilitiesEstablish a robust hybrid cloud environment, facilitate the migration of development and testing platforms to the public cloud, and transition to 'as a service' infrastructure solutions, including storage and backup services.Play a crucial role in enhancing the security and operational efficiency of the infrastructure baseline by improving monitoring capabilities, managing client demands within the IT Infrastructure department, and proactively overseeing infrastructure capacity and lifecycle management.Key ActivitiesCoordinate the development of infrastructure services as designed by technical architects.Lead the deployment of these services in collaboration with development, application support teams, and business units as required.Act as the liaison between the IT Infrastructure department and business projects to ensure timely delivery of necessary infrastructure platforms.Oversee or contribute to the management of infrastructure operations, including monitoring, capacity management, and demand management.

En tant que Infrastructure Project Manager, vous serez au cœur de la gestion et du déploiement des projets informatiques, garantissant la coordination technique et fonctionnelle des infrastructures. Vous collaborerez étroitement avec des équipes techniques, des clients et des parties prenantes internes pour assurer le succès des projets.Vos principales responsabilités : - Diriger des projets d'évolution, de migration ou de déploiement d’infrastructures (serveurs, stockage, réseau, cloud, etc.) - Coordonner les équipes techniques (Ingénieurs, Administrateurs Systèmes & Réseaux, DevOps) - Gérer les plannings, budgets et ressources relatifs aux projets - Définir et suivre les indicateurs de performance (KPI) - Garantir la qualité des livrables et la conformité aux normes de sécurité et réglementaires - Réaliser un reporting régulier et assurer une communication fluide avec les différentes parties prenantes - Effectuer une veille technologique afin de proposer des solutions innovantes et optimisées. Votre environnement techniqueVous travaillerez dans un environnement hybride (On-Premise & Cloud), nécessitant une maîtrise des technologies suivantes :

We are seeking a dedicated and experienced Network and Cloud Infrastructure Manager to lead our infrastructure initiatives at Rexel. In this pivotal role, you will oversee the design, implementation, and management of our network and cloud infrastructure, ensuring optimal performance, security, and scalability.Your expertise will be instrumental in driving innovation and efficiency within our organization, as you collaborate with cross-functional teams to align IT infrastructure with business goals.

Join Front, a pioneering AI-driven customer service platform, as we redefine collaboration in customer support. Our innovative workspace integrates essential support channels, empowers teams to streamline requests, automate tedious tasks, and enhance customer experiences throughout their journey. With our adaptable workflows and advanced AI capabilities, Front delivers invaluable insights and exceptional efficiency that keep organizations customer-focused daily.Trusted by over 9,000 forward-thinking companies globally, including CultureAmp, HootSuite, and Y Combinator, Front enables businesses to provide outstanding service at scale.Supported by industry leaders such as Sequoia Capital and Salesforce Ventures, Front has successfully raised $204 million from top-tier venture capital firms and prominent investors, including executives from Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Our accolades as a top workplace include recognition from Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's Top Companies 2023, #4 on Fortune’s Best Workplaces in the Bay Area™, Inc. Magazine's 2022 Best Workplaces, and Forbes Best Startup Employers 2022.We are currently seeking an accomplished Engineering Manager to lead Front's core search team in Paris. In this pivotal role, you will oversee a talented group of senior engineers, driving the execution of an ambitious technical roadmap. Your leadership will focus on design and implementation, team scaling through recruitment of top talent, and mentoring future engineering leaders. Collaboration is key, as you will work closely with product managers, analysts, and designers to optimize team processes and enhance overall efficiency.

Join Novaspace, a global leader in space consulting, as we seek dedicated and seasoned professionals for our Space Infrastructure team. Our consulting service lines encompass strategy, market development, and innovation advisory for various space stakeholders. You will play a pivotal role in supporting our initiatives related to space transportation and satellite manufacturing. We are in search of critical thinkers adept at conducting market assessments, identifying trends, developing entry strategies, evaluating investment business cases, and performing strategic and business planning. This position involves collaboration with clients, partners, and stakeholders, providing you with exposure to key decision-makers within the space ecosystem, including both industry and government leaders. Typical consulting projects include market studies on next-generation launchers, spaceport business model analysis, national space access strategies, and in-orbit services market surveys, along with other fascinating subjects related to space hardware.If you resonate with this profile, we invite you to explore this opportunity with us!

Join Palantir Technologies as an Edge Infrastructure Engineer in Paris, where you will play a pivotal role in designing and implementing cutting-edge infrastructure solutions. You will collaborate with cross-functional teams to ensure our systems are robust, scalable, and secure. Your expertise will contribute to enhancing the performance and reliability of our edge computing services, making a significant impact on our clients' operations.

Join Mistral AI as a Software Engineer in our Deployment Infrastructure team, where you'll be at the forefront of deploying and integrating cutting-edge AI technology. In this role, you'll ensure the efficient launch of our innovative products, from AI models to APIs, across various infrastructure setups, including both leading cloud service providers and private environments. Collaborating with cross-functional teams, you will tackle unique challenges in AI safety and enhance our observability and monitoring systems to deliver exceptional solutions to our customers.

About Us:At Cohere, our mission is to expand intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create AI systems that deliver transformative experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and autonomous agents. We are committed to driving the widespread adoption of AI technologies.Our team is dedicated to excellence. Every member takes pride in enhancing the capabilities of our models and maximizing the value we deliver to our customers. We thrive in a fast-paced environment, where hard work and innovation are fundamental to our success.Cohere brings together a diverse group of researchers, engineers, designers, and industry experts who are passionate about their fields. We believe that a variety of perspectives is essential for creating exceptional products.Join us in shaping the future of AI!Our Integration Team is tasked with developing and scaling machine learning algorithms and infrastructure for post-training of large language models (LLMs), focusing on distributed reinforcement learning (RL) methods. We uphold high standards in both engineering and scientific research by carefully designing experiments and documentation. Tasks are assigned based on individual expertise, but we collectively contribute to writing production-ready code and supporting research initiatives, aligning with personal interests and organizational goals.This role is particularly focused on enhancing the overall quality of our post-training codebase by introducing new tools to facilitate research, optimizing post-training algorithms, and scaling distributed RL to new heights.Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we embrace remote work! Applicants can work from anywhere within the UTC−06:00 to UTC+01:00 time zones.As a Member of the Technical Staff, your responsibilities will include:Designing and developing high-performance, scalable software for model training.Creating innovative tools to support and expedite research and LLM training.Collaborating with engineering teams (Infrastructure, Efficiency, Serving) and scientific teams (Agent, Multimodal, Multilingual) to establish a cohesive post-training ecosystem.Implementing strategies to enhance performance and accelerate our training cycles, including supervised fine-tuning (SFT), offline preference, and the RL framework.Conducting research, implementing, and testing innovative ideas on our cluster.