2 ai machine learning engineer jobs found

Your Role Work in close collaboration with the Deployment team on the full development cycle of one or more software components for automated off-road driving and their application to real-world vehicle platforms. Depending on your interests and the team’s priorities, your focus may include: Feature development, profiling and benchmarking of software components like The driveblocks off-road 3D state estimation module The sensor (camera/LiDAR/IMU, …) drivers Enabling continuous integration pipelines on target compute platforms (e.g., NVIDIA-based and others). Software release preparations and functional testing. Data management for AI module re-training; involvement in data recording activities in off-road environments. Maintenance of our development vehicles. Preparation and involvement in demos for customers and investors. Your work directly contributes to safely operating heavy machinery in real-world environments. Your Background...

Your mission You may be our next   DevOps Engineer (F/M/D)   if you care deeply about the craft of Infrastructure as Code and want to help us scale our hybride cloud. We are not looking for someone to simply “fix servers.” We are looking for a builder - someone who values deterministic rollouts (FluxCD), strong observability (SigNoz / Prometheus), and who is excited about shaping the future of AI-assisted platform engineering with us. In this role, you will act as a trusted expert, bridging the gap between code and production and helping our teams ship software safely and reliably. We are also leaning into AI coding assistants - not just for boilerplate, but to build smarter guardrails across our CI/CD workflows and platform automation. Key Responsibilities: Design, build, and operate scalable cloud infrastructure using Infrastructure as Code (Terraform, Ansible), ensuring repeatability, reliability, and reduced operational toil. Automate provisioning,...