Deine Aufgaben
Pillar 1: ML platform (product-facing)
- End-to-end training platform: design and build the onprem ML platform covering the full training lifecycle.
- Model optimization & edge deployment:pruning,quantization, and deploymen to edge devices for real-time LiDAR applications.
- Self-service for MLengineers:build platform capabilities that let ML engineers deploy independently, working cross-functionally with ML, Data, and DevOps.
- On-prem LLM hosting:own the infrastructure that backs our internal AI capabilities
- Agentic workflow infrastructure: partner with AI workflow engineers to translate requirements into scalable platform capabilities supporting the agentic toolswith on-prem LLMs
- Model lifecycle management: manage multiple open-weight models, fine-tuning pipelines, and versioned rollouts from experiment to production.
Dein Profil
- MLOps experience for edge devices:you built MLtraining pipelines and model registries that teams rely onto build products.
- LLM serving & infrastructure:experience self-hosting and scaling LLMs on-prem, ideally with vLLM or comparable serving frameworks. You understand throughput, latency tradeoffs, and GPU resource management
- Platform engineering mindset:you care about developer experience, write documentation others use, and treat reliability and observability as first-class concerns.
- Skills we expect:
- Fluent in English (German is a plus)
- 3+years experienceonMLOps
- Ownership mindset: you don't just surface problems, you own the solution.
- Tech stack you can expect:
- Tools: Linux, OpenStack, Kubernetes, Flux, Git, Bash, GitLab CI, Jenkins, ML Flow
- Languages & Frameworks: Python, C++, CUDA, TensorRT, PyTorch,Tensorflow
- Embedded platforms: NVIDIA, TI
Über uns
Als Pionier für Perception-Lösungen fokussiert sich MicroVision auf Hard- und Softwaresysteme rund um MEMS-basierte Laserscanning- und Solid-state-Technologien. Mit unserem tiefen Ingenieurs-und IT-Know-how entwickeln wir maßgeschneiderte Anwendungen für Branchen wie Automobil, Logistik, Landwirtschaft, Bergbau sowie Schiff- und Hafenautomatisierung. Unser Ziel „SAFE MOBILITY AT THE SPEED OF LIFE®“ wollen wir gemeinsam mit unseren Kunden erreichen, um eine sicherere und effizientere Welt zu schaffen.
