Engineering Manager

About the RoleAs part of Neural Concept’s innovative Machine Learning Application Engineering team, you will play a vital role in addressing complex engineering challenges faced by our clients in the automotive, aerospace, and energy sectors. Our mission is to work collaboratively with engineering and design teams, helping them navigate their pain points and optimize their design processes. By harnessing our advanced platform, we unlock significant insights from intricate computer-aided engineering datasets, directly influencing product design and enhancing development speed through the application of 3D deep learning and engineering intelligence.In this pivotal role, you will assist industry leaders in revolutionizing their product design workflows by utilizing groundbreaking technologies. Your technical expertise will foster trust and admiration among our customers as you deliver exceptional quality in your work. This is an unparalleled opportunity to be at the forefront of the intersection between engineering and artificial intelligence, collaborating with top-tier clients globally and impacting the evolution of the industry. If you are enthusiastic about experiencing the rapid advancements in engineering firsthand, this is the ideal team for you.What You Will DoCollaborate with client engineering teams to execute projects, analyze and process engineering data utilizing our platform and Python libraries, and design customized solutions and workflows.Implement our machine learning and deep learning workflows to address diverse engineering and physics challenges, while delivering proofs-of-concept that showcase the value of our technology in CAD, CAE, and manufacturing contexts.Educate customer teams on effectively leveraging our methodologies and platform, facilitating seamless integration of AI into their existing workflows.Engage closely with our development team to relay customer needs and feedback, driving product enhancements.Who You AreYou are passionate about tackling real-world challenges through machine learning and automation, with a commitment to transforming engineering practices for industry leaders.You possess a Master’s or PhD in Engineering, Applied Mathematics, or Physics.You have a strong grasp of both engineering principles and machine learning methodologies.

Role overview Neural Concept is looking for a Machine Learning Application Engineer fluent in Japanese or Korean to join the Lausanne office. The role centers on supporting clients in Korea as they tackle engineering challenges across industries such as automotive, aerospace, and energy. The team partners with these organizations to understand their needs and deliver solutions that speed up design processes, using advanced computer-aided engineering data and 3D deep learning. This position bridges engineering and artificial intelligence. As part of the Application Engineering Team, the work involves helping industry leaders reshape their product development workflows. Collaboration with global clients, influencing product design, and contributing to the evolution of engineering practices are key aspects of this role. What you will do Work directly with customer engineering teams to manage projects, analyze engineering data with Neural Concept's platform and Python libraries, and develop tailored solutions and workflows. Use machine learning and deep learning methods to address engineering and physics problems, delivering proofs-of-concept that demonstrate the technology's value in CAD, CAE, and manufacturing contexts. Train customer teams on how to use Neural Concept's platform and methodologies, supporting the integration of AI into their workflows. Collaborate with the development team to share customer needs and feedback, contributing to future product improvements.

Role overview Nexthink seeks a Senior Machine Learning Engineer in Lausanne to build and deploy machine learning models that enhance user experiences across its products. The position involves working with large datasets, extracting insights, and transforming them into practical product features. What you will do Design and implement machine learning algorithms for real-world use Collaborate with engineers and data scientists to develop new models Translate data analysis into product improvements that benefit customers Offer ideas that influence product direction and customer satisfaction Collaboration Regular teamwork with engineers and data scientists is central to this role. Sharing knowledge and working together are essential for success. Location This position is based in Lausanne.

About UsHarmattan AI is pioneering the development of autonomous and scalable defense systems. Following our successful $200 million Series B funding round, which has resulted in a valuation of $1.4 billion, we are actively expanding our teams to deliver mission-critical systems to allied forces across the globe.Guided by our core values, we aim to create technologies that have a tangible impact, pursue excellence in all endeavors, set ambitious goals, and tackle the most challenging technical issues. Our environment is demanding, where rigor, ownership, and execution are paramount.About the RoleAs we develop sophisticated autonomous systems, we rely on robust state estimation and sensor fusion to navigate complex and dynamic environments. Our platforms integrate various sensors, including IMU, GNSS, vision, barometer, and magnetometer, necessitating precise, real-time estimation of system states such as position, velocity, and attitude.While classical methods like Kalman filtering are effective, they often depend on modeling assumptions that may not hold in real-world scenarios. To enhance performance, we are investigating hybrid methodologies that merge model-based estimation and control with cutting-edge machine learning techniques.Your MissionIn this internship, your objective will be to investigate and implement machine learning-based sensor fusion and state estimation techniques to boost performance in dynamic settings.ResponsibilitiesLiterature Review: Conduct an extensive review of current machine learning methods for state estimation and sensor fusion.Algorithm Implementation: Develop and implement various algorithms informed by your literature review and project specifications using both simulated and real-world flight data.Performance Evaluation: Evaluate and compare the performance and computational demands of the developed algorithms against classical benchmarks.Documentation: Thoroughly document all undertaken work, encompassing methodologies, results, and conclusions.Flight Tests Participation: Engage actively in flight test sessions to collect real-world data and validate the efficacy of the developed algorithms under operational conditions, contributing to real-time deployment.

Isomorphic Labs is at the forefront of harnessing advanced AI to unveil profound scientific insights, accelerate breakthroughs, and develop transformative medicines with a vision to tackle all diseases.We are on the brink of a future powered by machine learning, where the discovery of drugs is expedited and diseases are managed or eradicated.Join our multidisciplinary team that is pioneering innovative solutions and make a significant impact as we strive to achieve our ambitious objectives within a supportive and collaborative environment.The world we aspire to create tomorrow is being shaped by our efforts today. It begins with our company culture. It starts with you.About Isomorphic LabsFounded in 2021, Isomorphic Labs (IsoLabs) is committed to enhancing human health by extending the capabilities of the Nobel Prize-winning AlphaFold system. Our team of experts in drug discovery and machine learning has developed cutting-edge predictive and generative AI models that propel scientific discoveries at unprecedented speeds.Our name reflects our conviction in the inherent symmetry between biology and information science. By leveraging AI's remarkable capabilities, we can model intricate biological phenomena, design innovative molecules, predict drug efficacy, and create groundbreaking therapies for some of the world's most challenging diseases.We have established a premier drug design engine featuring AI models adept at functioning across diverse therapeutic areas and drug modalities. Our commitment to innovation drives us to continuously enhance model architectures and develop state-of-the-art capabilities to foster rational drug design.With each breakthrough, we move closer to realizing the potential of digital biology and fulfilling our ambitious mission to ultimately conquer all diseases using AI.

Are you driven by a passion for artificial intelligence and eager to foster innovation in a dynamic, impactful setting? If you possess experience in developing AI-enhanced applications and take pleasure in mentoring others, we would love to have you join Nexthink as a Senior AI Engineer!In this pivotal role within our AI team, you will prototype, refine, and deploy AI-driven functionalities into Nexthink’s cloud platform. You will guide architectural decisions, establish best practices, and ensure that our AI systems are scalable, observable, and production-ready.Key Responsibilities:AI Engineering & ArchitectureDesign, develop, and manage production-grade AI/ML systems, including applications powered by large language models (LLMs), natural language processing (NLP) models, retrieval-augmented generation (RAG) pipelines, and multi-agent systems.Make critical architectural choices regarding model selection, training methodologies, fine-tuning processes, retrieval frameworks, orchestration layers, and infrastructure.Integrate external AI services, such as LLM providers, into Nexthink’s cloud ecosystem.Tackle engineering challenges linked to data collection, retrieval, evaluation, inference, latency, and cost optimization.AI Done Right – Evaluation & QualityEstablish robust online and offline evaluation frameworks along with success metrics.Implement dashboards and monitoring systems to gauge quality and identify regressions in production.Create automated evaluation pipelines for prompts, embeddings, models, and agent workflows.Ensure the observability and reliability of AI systems at scale.MLOps & Cloud EngineeringDevelop and uphold reproducible machine learning pipelines and CI/CD workflows for AI components.Oversee the deployment, monitoring, and lifecycle of models and AI artifacts in a production environment.Enhance systems for scalability, performance, throughput, and cost efficiency.Utilize AWS or equivalent cloud platforms, Docker, and orchestration frameworks (Kubernetes/ECS).Product & Cross-Functional CollaborationWork closely with product managers, designers, software engineers, and data scientists.Translate ambiguous product requirements into clear, incremental, and testable engineering plans.Proactively suggest new AI capabilities based on user insights and technological advancements.Clearly communicate intricate AI concepts to both technical and non-technical stakeholders.Leadership & MentorshipGuide and mentor junior AI engineers in best practices for production.

At Isomorphic Labs, we are at the forefront of utilizing advanced AI technologies to unlock profound scientific discoveries, accelerate breakthroughs, and create transformative medicines with the goal of curing all diseases.The future is unfolding—powered by the remarkable capabilities of machine learning. Imagine a world where diseases are effectively managed or eradicated, beginning with enhanced and expedited drug discovery.Join our interdisciplinary team, where innovation thrives, and play a pivotal role in helping us realize our ambitious objectives while being part of a supportive and collaborative work culture.The future we envision is being shaped by our efforts today, starting with the culture at Isomorphic Labs, and it all begins with you.

Nexthink is on the lookout for a dynamic AI Research Engineer who possesses a hacker's mindset, a passion for rapid prototyping, and an aptitude for creative problem-solving. Join our AI research team and transform conceptual ideas into production-ready systems that provide tangible value.Your ability to distill complex concepts into simple terms will be crucial as you collaborate in a cross-functional environment. You will work closely with other teams to seamlessly integrate AI features into existing systems and to develop innovative applications.Key ResponsibilitiesRapidly prototype to validate technical feasibility and demonstrate value.Convert promising proofs of concept (PoCs) into scalable and reliable AI solutions that address real-world challenges.Keep abreast of the latest advancements in AI and machine learning, sharing insights with the Nexthink AI community.Effectively communicate intricate ideas, inspiring both technical and non-technical team members.

About UsHarmattan AI is a pioneering defense contractor dedicated to developing autonomous and scalable defense systems. After successfully closing a $200M Series B funding round, which has elevated our valuation to $1.4 billion, we are on a mission to enhance our teams and capabilities to deliver mission-critical solutions for allied forces.Our endeavors are driven by a commitment to innovation, excellence, and tackling the most challenging technical problems. We operate in a high-demand environment where accountability, precision, and successful execution are paramount.About the RoleWe are seeking a skilled Computer Vision Engineer to become a vital member of our Machine Learning and Computer Vision team. This position is essential for the development of core technical components across a variety of robotics and aerospace projects.ResponsibilitiesResearch & Data Preparation: Conduct thorough research on cutting-edge Computer Vision techniques, and assist in the creation and management of training and validation datasets.Perform statistical analyses and design visualization tools to guarantee data integrity.Algorithm Development & Optimization: Construct and optimize training pipelines and metrics aimed at improving model performance.Develop and enhance Computer Vision algorithms for various robotics and aerospace projects.Deployment & Integration: Implement ML/CV models into production-ready environments, ensuring smooth integration with Harmattan AI’s systems while conducting thorough code reviews.Validation & Monitoring: Test algorithms in real-world scenarios and develop monitoring tools. Continuously track model performance and refine deployed solutions.Cross-Team Collaboration: Collaborate closely with software and simulation teams to ensure development aligns with system requirements, effectively communicating findings to stakeholders.Candidate RequirementsEducational Background: A degree from a prestigious engineering institution or university (Master’s in Computer Science or related field; PhD preferred).Technical Proficiency: Proficiency in Python and C++ with a strong foundation in machine learning and computer vision frameworks.

Join Our TeamAt Harmattan AI, we are at the forefront of developing autonomous and scalable defense systems. With the successful closure of our $200M Series B funding round, our valuation has reached $1.4 billion, allowing us to enhance our teams and capabilities to deliver critical systems to allied forces.Our commitment to excellence is driven by a set of core values: creating technologies that have a meaningful impact, striving for the highest standards in our work, setting ambitious objectives, and tackling the most complex technical challenges. We thrive in a challenging environment that demands rigor, ownership, and high-level execution.Your RoleAs an Application Software Engineer in our R&D team based in Lausanne, Switzerland, you will play a pivotal role as one of the founding members of a new team focused on developing the ground control station (GCS) software that underpins our autonomy stack. Your key mission will be to design and implement industrial-grade ground control software.

At Isomorphic Labs, we are leveraging cutting-edge AI technology to unlock profound scientific insights, expedite breakthroughs, and develop transformative medicines with the ambitious goal of eradicating all diseases.We envision a future empowered by the remarkable capabilities of machine learning—where diseases are effectively managed or cured, starting with swifter and more efficient drug discovery.Join our dynamic interdisciplinary team that is spearheading groundbreaking innovations and play a vital role in helping us achieve our lofty objectives within a collaborative and inspiring culture.The world we aspire to create tomorrow is being built today—starting with our company culture and with your contribution.About Isomorphic LabsFounded in 2021, Isomorphic Labs (IsoLabs) is dedicated to enhancing human health by advancing the Nobel Prize-winning AlphaFold system. Our diverse team of drug discovery experts and machine learning specialists has developed state-of-the-art predictive and generative AI models that accelerate scientific discovery at digital pace.Our name embodies our belief in the underlying symmetry between biology and information science. By harnessing the powerful capabilities of AI, we model complex biological phenomena to design novel molecules, predict drug performance, and create innovative treatments for some of the world's most challenging diseases.We have established a world-leading drug design engine featuring AI models capable of operating across various therapeutic areas and drug modalities. We continuously innovate model architecture and develop cutting-edge capabilities to enhance rational drug design.Every day, with each breakthrough, we approach our ambitious mission of potentially solving all diseases through AI.

Role overview Nexthink seeks an AI Research Engineer in Lausanne to support AI advancement within the Diagnostics department. This position centers on building new solutions that enhance Nexthink’s products and services, contributing directly to ongoing AI initiatives. What you will do Collaborate with researchers and engineers to investigate and test new algorithms Enhance model performance through focused improvements Take part in projects that extend the capabilities of AI in diagnostics Team and collaboration Work alongside a team of experienced colleagues dedicated to practical results and continuous innovation in AI research and development.

Nous sommes à la recherche d'un Gestionnaire d'Applications pour rejoindre l'équipe dynamique de notre client basé dans la région de Lausanne. Ce poste est essentiel pour assurer la maintenance et l'évolution d'applications stratégiques. Vous serez chargé de gérer l'intégralité du cycle de vie des applications, en veillant à leur supervision et à leur amélioration continue afin d'assurer la sécurité, la performance et la disponibilité.ResponsabilitésAssurer la maintenance et l'évolution des applications tout en respectant les normes de sécurité et de qualité.Concevoir, tester et déployer de nouvelles versions des applications.Superviser l'exploitation et garantir la continuité du service (performance, coûts, risques).Coordonner les différents acteurs et gérer les relations avec les fournisseurs.Gérer les incidents et interruptions de service conformément aux bonnes pratiques ITIL.Analyser l'impact des évolutions techniques et fonctionnelles sur les utilisateurs.Installer et configurer des composants logiciels tout en garantissant leur intégration et leur efficacité.Participer aux processus d'intégration continue et de déploiement automatisé.Collaborer avec les équipes pour fournir un support efficace et pour favoriser l'amélioration continue.

About the RoleJoin Neural Concept's Vertical Solutions team, where we transform common engineering challenges into efficient, production-ready workflows powered by cutting-edge AI technologies. As the EV Powertrain Solution Owner, you will leverage your engineering expertise to shape and direct the development of industry-specific workflows that integrate design, simulation, and data science/machine learning, driving down product development times and helping customers realize value swiftly and at scale. Collaborating with leading industry clients, you will identify sector-specific needs and craft tailored solutions that meet real-world demands.In this crucial position, you will collaborate across teams to ensure that our products, team members, and clients can effectively utilize and benefit from your innovations.Key ResponsibilitiesDevelop and deliver competitive, scalable solutions customized to your industry’s unique applications.Gain a deep understanding of customer needs and effectively communicate a compelling value proposition.Oversee customer projects within your vertical application to ensure alignment and value generation.Conduct discovery interviews with clients, validate solutions, and broaden product scope to encompass more aspects of the design process.Lead and engage in a small, cross-functional team of CAD/CAE/ML engineers from prototype to production-ready solutions.Align vertical initiatives with company strategy while contributing industry insights to influence the global roadmap.

Your RoleAs a Full-Stack Product Engineer, you will develop robust and scalable backend systems along with high-performance applications that serve as a new intelligence layer within our engineering software, driving the next wave of technological advancement.Your key responsibilities will include:Designing and creating high-performance applications that simplify the handling of complex 3D and physics datasets, as well as AI-driven workflows.Building modular distributed systems deployable on diverse high-performance infrastructures (such as Kubernetes and on-premise HPC).Crafting optimized and user-friendly APIs with a focus on minimizing latency and ensuring reliability.Contributing to the development of high-performance databases and unstructured data management solutions.Working closely with the platform team to integrate observability into all our services.Enhancing delivery processes by evolving CI/CD practices, testing frameworks, and rollout safeguards.Establishing and maintaining automated pipelines utilizing GitHub Actions CI/CD.Collaborating across product development and design teams to craft problem statements and solutions that measurably enhance user value.

Role Overview Visium is looking for a Platform Engineer to help build and refine core platforms. This role focuses on designing, developing, and deploying scalable systems that support strong performance and reliability. What You Will Do Work with teams across disciplines to deliver solutions that strengthen infrastructure and streamline operations. Apply technical knowledge to improve system availability and efficiency. Contribute to the ongoing development and optimization of Visium’s platforms. Location Based in Lausanne, Vaud, Switzerland.

About the RoleAt Neural Concept, our Application Engineering team is dedicated to empowering industry leaders to transform their product design processes by integrating innovative AI technology with real-world engineering challenges. We collaborate closely with engineering, design, and executive teams across sectors such as automotive, aerospace, and energy to identify their strategic needs and provide solutions that yield measurable results.In this role, you will be at the crossroads of business and technology — translating intricate customer challenges into valuable AI-driven solutions, while ensuring these solutions are effectively implemented within our clients’ organizations. This position is ideal for someone who excels in both executive discussions and detailed technical sessions with engineers.If you are passionate about influencing how industry leaders leverage AI and enjoy being a trusted advisor to some of the most advanced engineering teams globally, we invite you to apply.Key ResponsibilitiesEngage with senior stakeholders (VP, C-level) to comprehend their business challenges, articulate the advantages of AI-assisted design, and collaboratively develop high-level solution roadmaps.Convert business requirements into tangible technical solutions using Neural Concept's platform, collaborating closely with customer engineering teams and internal developers.Facilitate AI adoption among customers — from initial proof-of-concept to full-scale integration — ensuring teams are well-prepared and confident in utilizing new workflows.Serve as a liaison between customer needs and Neural Concept's product development, providing feedback to enhance our platform continuously.Who You AreA proficient communicator and trusted advisor, capable of confidently engaging with senior stakeholders, establishing quick rapport, and aligning teams around complex, ambiguous problems.Experienced in designing solutions from inception to execution, adept at translating business needs into concrete technical strategies.Comfortable in a customer-facing role, adept at navigating both high-level executive discussions and in-depth technical sessions with engineering teams.Possess a Master's or PhD degree in Engineering, Applied Sciences, or a related field.

Join Adaptyv, where innovation meets automation in biological research!At Adaptyv, we are pioneering the future of scientific exploration by creating an automated laboratory that empowers AI agents to conduct biology experiments. Welcome to the age of agentic science, where AI models can design new proteins, formulate hypotheses, and refine experimental outcomes. However, the execution of these experiments still relies on manual processes that can take months. Our mission is to build the infrastructure that bridges AI capabilities with real-world applications.Currently, more than 50 companies, including leading biopharmaceutical firms, cutting-edge AI research labs, and numerous techbio startups, are leveraging Adaptyv for their wet lab experiments.Our automated lab integrates a sophisticated software and hardware ecosystem: lab instruments valued at millions of dollars, transformed into API-controllable apparatus, a multitude of devices coordinated through intricate workflows, comprehensive monitoring of lab activities, data processing pipelines for complex physical-world datasets, and AI systems designed to troubleshoot production outputs and expedite assay development.As we experience rapid growth, we are on the lookout for talented individuals who are eager to help us meet the soaring demand for AI-driven wet lab experimentation.Can't find a specific role that aligns with your skills but are passionate about our work?We are always seeking talented people to join our team, regardless of the current job openings.Please share what inspires you about our mission and how your expertise can contribute to enhancing tools for protein engineers!Application DeadlineWe are reviewing applications on a rolling basis.

About UsHarmattan AI is at the forefront of developing autonomous and scalable defense systems for the next generation. With the recent successful closure of a $200 million Series B funding round, which has positioned our company at a valuation of $1.4 billion, we are actively expanding our team to deliver critical mission systems to allied forces.Our operations are driven by our core values: creating technologies that have a tangible impact, striving for excellence across all our endeavors, setting ambitious objectives, and tackling the most complex technical challenges. We thrive in a challenging environment where meticulousness, ownership, and results are paramount.RoleWe are looking for a talented Aerodynamics Design Engineer to join our innovative team, focusing on the design of advanced unmanned aerial vehicles (UAVs). You will serve as the technical cornerstone for our flight physics, converting mission parameters into optimized airframe designs. Your role will connect theoretical principles with practical hardware, collaborating closely with both the Mechanical and Guidance, Navigation, and Control (GNC) teams to ensure our platforms achieve high performance, stability, and manufacturability.ResponsibilitiesConceptual Design & Architecture: Spearhead aerodynamic layouts for fixed-wing, multicopter, and eVTOL configurations, translating mission requirements (range, speed, payload) into precise technical specifications.Multi-fidelity Analysis: Develop and implement a comprehensive range of numerical analysis methods, from rapid analytical and empirical techniques to high-fidelity CFD, including potential and/or panel methods.End-to-End CFD Workflow: Manage the complete simulation process: geometry preparation, meshing, solver execution, and post-processing tasks.Optimization: Utilize gradient-based or adjoint methods to enhance surfaces for drag reduction and optimal lift-to-drag ratios.GNC & Flight Physics Support: Create high-fidelity aero-databases and stability derivatives to assist the GNC team with control law development and autopilot tuning.RequirementsEducation: Bachelor's, Master's, or Ph.D. in Aerospace Engineering, Aeronautical Engineering, or a related discipline.Technical Knowledge: Strong foundation in aircraft design, systems integration, subsonic aerodynamics, flight mechanics, and low-Reynolds number flows.Design Sense: Demonstrated experience in aerodynamics and design, with a keen understanding of performance considerations.