Computer Vision Engineer

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.

About UsAt Harmattan AI, we are revolutionizing defense technology with innovative, autonomous, and scalable systems designed for real-world applications. With our recent $200 million Series B funding round, we are now valued at $1.4 billion and poised to expand our capabilities to provide mission-critical solutions for our allied forces.Our core values drive our work: we focus on creating impactful technologies, striving for excellence, setting challenging targets, and tackling complex technical problems. We thrive in a high-demand environment where dedication, accountability, and results are paramount.About the RoleWe are seeking a Computer Vision Engineer to enhance our visual inertial odometry (VIO) algorithm stack's front end, contributing significantly to our mission.ResponsibilitiesFront-End Algorithm Development for VIO:Frame and stereo pair matchingCalibration of both intrinsic and extrinsic camera parametersObstruction detectionImplementing and optimizing algorithms for embedded platformsConducting testing, validation, and monitoring: testing algorithms in both simulated and real-world conditions, and developing tools for inspection and monitoring.Collaborative Work: Engage with system, optical, and software engineers, sharing insights effectively with stakeholders.Candidate RequirementsEducational Background: Master’s degree in Robotics, Physics, Computer Science, or a related discipline; PhD is a plus.Technical Expertise: Strong mathematical foundation and proficiency in Python and C++.Hands-On VIO Experience: Prior experience with VIO in industrial applications is highly advantageous.Passion for Robotics and Computer Vision: A genuine enthusiasm for the field.Communication and Teamwork Skills: Ability to work collaboratively within diverse teams.Commitment: Full dedication to Harmattan’s mission and ambitious growth objectives, with a readiness to exceed expectations.

Join Our TeamAt Harmattan AI, we are at the forefront of developing autonomous and scalable defense systems, dedicated to enhancing the capabilities of allied forces. Following our successful $200M Series B funding round, which has elevated our company’s valuation to $1.4 billion, we are looking to expand our talent pool and technological expertise.Our mission is driven by our commitment to creating technologies that make a significant real-world impact while maintaining excellence in our endeavors. We set ambitious goals and tackle the most challenging technical problems as we operate within a high-stakes environment that demands rigor, ownership, and precise execution.Role OverviewAs an AI & Computer Vision Intern focusing on data augmentation, you will play a key role in enhancing the training of our perception systems through the generation of diverse aerial imagery. Your work will involve engineering an advanced Generative AI pipeline capable of transforming existing datasets by altering time-of-day, seasonal changes, and various biomes while ensuring the integrity of critical target objects like drones.Refine Generative Architecture: Take charge of a complex multi-pass diffusion pipeline that integrates structural background replacement with atmospheric adjustments to enhance scene realism.Tackle Edge Cases: Innovate on custom masking and high-resolution depth-patching algorithms to effectively anchor small objects in 3D environments, minimizing generative artifacts.Scale & Validate: Produce extensive augmented datasets and rigorously evaluate their effects on model performance. You will design experiments to assess how variations in the synthetic data influence the accuracy and robustness of object detection frameworks like YOLO.

About UsAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems for the next generation. Following a successful $200M Series B funding round that has valued our company at $1.4 billion, we are on an exciting growth trajectory, enhancing our teams and technological capabilities to deliver mission-critical systems to allied forces.Our operations are driven by a commitment to creating technologies that make a significant real-world impact, striving for excellence in all endeavors, setting lofty goals, and tackling the toughest technical challenges. We thrive in a high-stakes environment where rigor, ownership, and execution are paramount.ResponsibilitiesDevelop and implement deep learning models targeted at computer vision applications.Engage in research and experimentation utilizing Convolutional Neural Networks (CNNs) and Vision Transformers.Apply model compression techniques, including knowledge distillation.Conduct quantization-aware training (QAT) and post-training quantization (PTQ).Explore network and dataset pruning strategies for optimization.Design efficient architectures suitable for edge and embedded systems.Oversee dataset curation, balancing, and bias mitigation processes.Conduct experimental design, ablation studies, and ensure reproducibility of practices.Perform robust evaluations using relevant metrics (e.g., mAP, IoU, calibration).Analyze failure cases and conduct robustness testing under distribution shifts.You will be encouraged to read, analyze, and implement insights from top-tier conferences such as CVPR, ICCV, ICLR, and NeurIPS.

At Isomorphic Labs, we harness the cutting-edge capabilities of AI to drive transformative scientific discoveries and create revolutionary medicines with the ultimate goal of addressing all diseases.Envision a future where machine learning empowers rapid drug discovery and effective disease treatment. Join us in our mission to revolutionize healthcare through innovative drug design.Be a part of our diverse team, committed to driving significant advancements while fostering an inspiring and collaborative culture.The future we aspire to is being built through our collective efforts today, and it starts with the culture we cultivate at Isomorphic Labs.About Isomorphic LabsFounded in 2021, Isomorphic Labs (IsoLabs) is dedicated to enhancing human health by extending the pioneering work established by the Nobel-winning AlphaFold system. Our multidisciplinary team of drug discovery experts and machine learning professionals has developed state-of-the-art predictive and generative AI models that accelerate scientific breakthroughs at unprecedented speeds.Our name reflects our belief in the inherent symmetry between biology and information science. By leveraging AI's robust capabilities, we can model intricate biological systems to design novel molecules, predict drug efficacy, and innovate treatment options for some of the most challenging diseases worldwide.We have established a leading-edge drug design engine that integrates AI models capable of addressing various therapeutic areas and drug modalities. Continuous innovation in our model architecture is key to advancing rational drug design.With each breakthrough, we move closer to fulfilling our vision of digital biology and achieving our ambitious mission of eradicating all diseases through artificial intelligence.

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.

About UsAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems, positioning ourselves as a next-generation defense prime. Recently, we celebrated the successful closure of a $200 million Series B funding round, which has elevated our company valuation to $1.4 billion. This achievement fuels our ambition to expand our teams and enhance our capabilities, allowing us to deliver mission-critical systems to allied forces.Our operations are anchored in a set of core values: creating technologies that generate tangible impact, striving for excellence in every endeavor, setting and achieving ambitious objectives, and tackling the most challenging technical problems. We thrive in a high-demand environment where rigor, accountability, and execution are paramount.About the Role: As the Engineering Manager at Harmattan AI, you will be a crucial managerial interface between our R&D teams and the leadership. Your focus will be on empowering our engineers and establishing a standard of engineering excellence. This role is designed to alleviate the workload on senior leadership by fostering high-performing teams, enhancing internal tools, and standardizing workflows across the organization without compromising on execution speed. You will serve as a strategic partner to our leadership, contributing to the organizational framework and the long-term technical vision of the company.Responsibilities:People Management & Mentorship: Serve as a committed people manager for engineers, overseeing performance assessments, career development, and training programs.Recruitment: Take charge of the recruitment process as a top priority, building and sustaining an effective engineering team to support our ambitious growth objectives.Process Standardisation: Create and implement standardized workflows across software and electrical engineering teams to guarantee high-quality outcomes and consistency.Internal Tooling: Assess and enhance internal tooling—selecting between off-the-shelf and custom solutions—to ensure engineers have optimal resources for success.Organisational Strategy: Participate in structuring the organization by reorganizing teams and initiating changes that optimize cross-functional (XFN) delivery.Vision & Execution: Collaborate with leadership to shape the company's vision, contributing innovative ideas rather than merely executing existing strategies.

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.

About UsHarmattan AI is a pioneering defense leader focused on delivering autonomous and scalable defense systems. After successfully closing a $200M Series B funding round, which valued the company at $1.4 billion, we are expanding our teams and capabilities to provide mission-critical solutions to our allied forces.Our endeavors are driven by strong values: creating impactful technologies, striving for excellence, setting ambitious objectives, and tackling the most challenging technical problems. We work in a high-pressure environment where accountability, rigor, and execution are paramount.About the RoleAs a Mechanical Engineer on the Airframe team at Harmattan AI, you will be responsible for the design of UAV platforms and subsystems in a dynamic and autonomous setting. You will lead projects from initial concept to production, ensuring optimal performance, reliability, and manufacturability.

About the RoleAs the Vice President of Engineering, you will play a pivotal role in constructing, scaling, and managing a top-tier software engineering team tasked with consistently delivering on Neural Concept's bold product and technology initiatives.Your mission will be to transform product vision into tangible software outcomes while ensuring that our teams and corporate culture evolve sustainably—focusing on quality, efficiency, and professional development.Key ResponsibilitiesLead Engineering Execution and DeliveryGuarantee predictable and high-quality outcomes across product and platform projects.Convert product and technical strategies into actionable plans, timelines, and commitments.Proactively identify risks and manage trade-offs with transparency.Organize the Engineering StructureRefine team structures, ownership responsibilities, and collaboration frameworks as we expand.Develop and mentor engineering managers and technical leaders.Continuously align the organization with the company’s growth trajectory.Establish Modern Engineering ProcessesCreate streamlined, effective development processes that adapt as we grow.Utilize cutting-edge AI technologies to enhance our operations while maintaining agile teams.Define and monitor key engineering performance metrics.Ensure Technical Quality, Reliability, and SecurityCollaborate with the CTO to maintain architectural integrity and long-term technical sustainability.Implement practical strategies for managing technical debt, quality assurance, and operational excellence.Work together with go-to-market and deployment teams to ensure seamless and secure launches across various customer scenarios.Foster Collaboration with Leadership and ClientsPartner with Product, Research, Deployment, and Leadership teams.Represent the engineering team in cross-departmental and customer-facing interactions.Serve as a key ally to the CTO, providing insights on execution, risk management, and organizational health.

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.

Join Our Team at Harmattan AIAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems, aiming to provide cutting-edge solutions for allied forces. With a recent $200M Series B funding round that has elevated our valuation to $1.4 billion, we are poised for rapid growth and innovation.Our core values drive us to create technologies that make a real-world impact, pursue excellence relentlessly, and tackle the most challenging technical hurdles. We thrive in a high-performance environment where accountability, precision, and execution are paramount.As an Aerodynamics Testing Engineer, you will play a crucial role in bridging the gap between theoretical simulations and real-world applications. Your primary responsibility will be to validate the flight dynamics of our advanced UAV platforms, which include long-endurance fixed-wing aircraft and high-speed eVTOLs.You will lead the design, execution, and analysis of experimental campaigns to ensure that our aircraft meet efficiency, stability, and safety standards. Utilizing rapid prototyping techniques, you will transform aerodynamic concepts into flight-ready prototypes and ground testing models, ensuring a seamless transition from CFD predictions to actual performance.Collaboration will be key as you work closely with the Mechanical (Meca) team to design and manufacture specialized testing rigs and instrumented prototypes, translating aerodynamic concepts into durable and testable hardware.Key ResponsibilitiesPrototype Development: Design and fabricate prototypes using materials such as foam, 3D printing, and composites to optimize aerodynamic shapes.Flight Testing: Oversee flight test campaigns for both fixed-wing and eVTOL platforms. Define test plans and safety protocols to gather aerodynamic data and conduct flight log analysis for model validation.Wind Tunnel Experiments: Design and perform wind tunnel tests and static thrust assessments, including the creation of instrumented scale models and automated data acquisition systems to evaluate propulsion efficiency and airframe performance.Data Correlation: Align simulation data with experimental outcomes to enhance model accuracy. Develop comprehensive Aerodynamic Databases (ADB) to assess vehicle performance across the entire flight envelope.Instrumentation: Integrate various sensors, including Pitot-static systems and load cells, to facilitate comprehensive performance measurements.

About UsAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems for the next generation. Following a significant $200 million Series B funding round, which values our company at $1.4 billion, we are poised for growth and are enhancing our teams and capabilities to deliver critical systems to allied forces worldwide.We are driven by our core values: creating impactful technologies, striving for excellence, setting ambitious goals, and tackling challenging technical problems. Our work environment is demanding, and we expect rigor, ownership, and high execution standards from our team members.Role OverviewAs an Aerodynamics Methodology & Software Engineer at Harmattan, you will serve as a vital link between aerospace physics and high-performance software engineering. Your primary objective will be to enhance our internal computational ecosystem, oversee our HPC/Cloud infrastructure, and convert research-oriented scripts into production-grade engineering software. You will play a key role in architecting our agentic AI workflows, developing custom MCP servers, and creating LLM-ready repositories to streamline complex simulation processes and design optimizations. You will engineer automated toolchains, enabling our team to rapidly iterate on UAV designs with unmatched precision and speed.Key ResponsibilitiesSoftware Professionalization: Transform research scripts and specialized tools into modular, high-performance, maintainable Python/C++ libraries. Ensure adherence to robust unit-testing and documentation protocols, guiding team members in structured code development.AI-Augmented Engineering & Orchestration: Design agentic workflows and custom MCP (Model Context Protocol) servers to integrate LLMs with internal CFD solvers and databases; document engineering insights into SKILLS.md or CLAUDE.md files for AI-driven code refactoring, automated simulation setups, and intelligent data analysis.MDAO Toolchain Integration: Create a cohesive design environment by developing APIs and automated workflows that connect various tools (e.g., OpenVSP, XFoil, and OpenFOAM) into streamlined optimization cycles.Infrastructure & Scalability: Optimize and manage our calculation infrastructure, including Linux-based HPC clusters (Slurm) and/or cloud computing platforms (AWS/Azure).Aero Database (ADB) Management: Establish the data architecture for storing and retrieving high-dimensional aerodynamic results, ensuring that GNC and flight physics teams have a single source of truth for data.

About UsHarmattan AI is at the forefront of defense technology, specializing in the development of autonomous and scalable defense systems. With the successful closure of a $200M Series B funding round that values us at $1.4 billion, we are on an exciting trajectory of growth, enhancing our teams and capabilities to deliver mission-critical systems for allied forces.Our operations are anchored in strong values: creating technologies that make a tangible impact, striving for excellence in every endeavor, setting ambitious objectives, and tackling the most challenging technical problems. We thrive in a high-demand environment where precision, accountability, and effective execution are paramount.About the RoleAs a GNC Engineer within our UAV team, you'll be instrumental in designing and developing cutting-edge guidance, navigation, and control (GNC) solutions. Your responsibilities will range from integrating and fusing sensor data to creating control laws and flight trajectories, taking your innovations from simulation into embedded implementation and ultimately, real-world flight testing.

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.

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.

Join Artelia as an Electrical Project Engineer or Project Manager in Lausanne, where you will lead innovative projects that shape the future of electrical engineering. We are looking for candidates who are passionate about their work and eager to take on new challenges in a dynamic environment.

Role overview As a Platform Engineer at evooq in Lausanne, the focus is on building and optimizing the platforms that power the company's products. The main goal is to enhance performance and reliability, ensuring users have smooth and dependable experiences. What you will do Design, implement, and maintain the infrastructure supporting evooq's platforms Work with advanced technologies to improve platform performance Collaborate with teams throughout the company to support evolving solutions Prioritize reliability and seamless experiences for users Location This role is based in Lausanne.

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.