Senior CAE Expert

About the Role The mission of Neural Concept's Application Engineering team is to help industry leaders redefine how they design products — by bridging cutting-edge AI technology with real-world engineering challenges. We work hand-in-hand with engineering, design, and executive teams across automotive, aerospace, and energy to understand their strategic needs and deliver solutions that create measurable impact. As part of this team, you will sit at the intersection of business and technology — translating complex customer challenges into high-value AI-powered solutions, and ensuring those solutions actually land and stick within our customers' organizations. This is a role for someone who thrives equally in a boardroom conversation with a VP and in a deep-dive technical session with engineers. If you're excited about shaping how industry leaders adopt AI and about being a trusted advisor to some of the world's most sophisticated engineering teams, this is the role for you. What you will do * Understand and shape customer strategy: Engage with senior stakeholders (VP, C-level) to understand their business challenges, articulate the value of AI-assisted design, and co-design high-level solution roadmaps. * Design and deliver solutions: Translate business requirements into concrete technical approaches using NC's platform, working closely with customer engineering teams and internal developers. * Drive adoption: Guide customers through AI adoption — from proof-of-concept to full integration — ensuring teams are equipped and confident to use new workflows. * Be the bridge: Act as the link between customer needs and NC's product evolution, feeding insights back to our development team to continuously improve the platform. Who you are * You are a strong communicator and trusted advisor — you can engage confidently with senior stakeholders (VP, C-level), build relationships quickly, and drive alignment around complex, ambiguous problems; * You have experience designing solutions end-to-end: from understanding a business need to translating it into a concrete technical approach; * You are comfortable working in a customer-facing environment, navigating both executive conversations and deep technical sessions with engineering teams; * You hold a Master's or PhD degree in Engineering, Applied Mathematics, Physics, or a related field — or have equivalent experience in an industrial or consultancy setting; * You have a solid understanding of engineering simulation concepts (CAD/CAE, CFD, FEM, or similar) — whether from an academic or industry background; * You have working knowledge of machine learning and how it applies to engineering problems; hands-on experience with Python and ML/deep learning frameworks is a strong plus; * You are intellectually curious and eager to tackle real-world engineering challenges through AI and automation; * You are fluent in English; French is a plus; What You Get * Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. * Benefit from a competitive salary and rewarding opportunities as we continue to scale. * Thrive in a collaborative, multicultural environment where your work is visible and recognized. * Develop professionally alongside talented colleagues who share knowledge freely and support one another. * Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. * Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules. WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.     The Role: Senior Site Reliability Engineer – Edge Computing  We are seeking a Senior Site Reliability Engineer to be part of the Edge Computing team in the Data&AI group. As we deliver real-time player tracking, sport analytics and broadcast augmentation to more customers worldwide, we are looking to scale from hundreds of sport venues to thousands.  Specifically, you can expect to:  * Design and code end-to-end processes enabling operational staff to autonomously prepare, install and monitor all Linux servers, networking devices and cameras installed in 300+ sport venues across the world  * Design and code end-to-end processes enabling developers to autonomously deploy and monitor our player tracking and augmentation applications  * Take ownership of long-term technical efforts and articulate design choices to technical and non-technical people  * Collaborate closely with teammates to solve problems, share knowledge and provide actionable feedback  * Participate in an on-call rotation that emphasizes eliminating repeating escalations  * Visit our wonderful Lausanne Jordils office 4 times per week, with flexible hours    Minimum Qualifications  * Swiss/EU/EFTA citizen or residency permit in Switzerland  * 5+ years experience in SRE with Linux  * Strong understanding of the entire Linux server stack: OS boot and installation, systemd, networking, container deployment, logging, metrics & monitoring, out-of-band management, etc...  * Strong experience designing robust automation processes for a large inventory of on-premises servers  * Proficient with Python programming and Bash scripting  * Ability to communicate efficiently and articulate concepts based on the audience    Preferred Qualifications  * Experience with remote fleet management without easy physical access  * Experience designing large-scale automation processes for network routers and switches  * Strong understanding of OSI network layers 2 and 3, ability to assess network conditions at customer sites: explain packet loss or fragmentation, cabling or NIC defects, bandwidth evaluation locally and to cloud via intercontinental transit  * Strong experience deploying container applications on premises with Kubernetes  * Experience with AWS EC2, S3, VPC, IAM  * Experience with Nvidia GPU driver installation and monitoring    Our Stack:  * Languages and frameworks: Python, Rust, Bash  * Servers: Ubuntu/Linux, bootc, Nvidia GPUs  * Networking: Mikrotik, FS  * Cloud: Tailscale, Netbox, Docker, Kubernetes, Prometheus, Grafana, AWS Cloud    Our Work Environment and What You Will Benefit From  * Become part of the world of elite sports, build systems that support data analytics and augmentation for the best leagues  * Enjoy an innovative and dynamic environment that encourages self-development  * Develop automation solutions that directly improve the daily work of dozens of operational staff and developers    The base salary range for this role is CHF 140,000 - CHF 155,000. There are a number of factors which affect what the specific pay for this role is, including seniority and relevant educational and working experience.  We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.  As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change   We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   Let us know when you apply if you need any assistance during the recruiting process due to a disability.