23.06.2026 aktualisiert
100 % verfügbar
Edge AI & Embedded Systems Engineering — On-Device Inference · Voice & Acoustics · Embedded to Cloud
Bielefeld, Deutschland
Weltweit
M.Sc. IngenieurwissenschaftenÜber mich
We are a small team of three senior engineers building AI systems that run without the cloud — on embedded hardware, in the field. Full stack from PCB design and embedded Linux to on-device inference and cloud infrastructure. Deployed in medical devices, industrial automation, and smart building.
Skills
GitOpsIoTLLMAkustikSystems EngineeringAudiosignalverarbeitungBeamformingCUDADevOpsDigitale SignalverarbeitungEmbedded C++Embedded SystemsEmbedded LinuxEmbedded BetriebssystemeEmbedded Software
Edge AI & Inference
- On-device inference: keyword detection (KWD), ASR, NLU, TTS, LLM/RAG — offline, air-gapped
- Model training, fine-tuning, quantization (ONNX, TFLite, CMSIS-NN)
- Hardware acceleration: NPU/GPU delegation, execution provider selection
- Target platforms: ARM CPU (arm32/arm64), MCU (Cortex-M), GPU (NVIDIA CUDA, AMD ROCm, Vulkan)
- Inference runtimes: ONNX Runtime, TensorFlow Lite, custom pipelines
Audio & Signal Processing
- Custom microphone array design (MEMS)
- Beamforming, noise suppression, streaming audio pipelines
- Acoustic measurement (KEMAR HATS, G.R.A.S. Mics, NI cDAQ)
Embedded Systems & Hardware
- Embedded Linux: kernel config, driver integration, u-boot
- Custom hardware: schematic & PCB design, multi-layer boards, SoM baseboards
- MCUs: ESP32, STM32 (C/C++, ESP-IDF, CMSIS)
- SBCs: Raspberry Pi, Rockchip SoCs
- Enclosure & mechanical integration, thermal design
- EMC-aware design, external test lab experience
- Serial production coordination (EMS), OTA updates, secure boot
Connectivity & Interfaces
- Embedded: I²C, SPI, UART, I²S, PDM
- Wireless: BLE, WiFi, DECT NR+, LTE/LTE-M/NB-IoT
- Industrial: Modbus RTU/TCP, RS-485, RS-232, CAN, OPC-UA
- Edge/Cloud: REST, gRPC, MQTT, WireGuard VPN
- Medical: HL7 FHIR
Cloud & Infrastructure
- Kubernetes (Talos Linux, AKS), GitOps-based cluster management
- Terraform (Hetzner, Azure), Docker, container-based CI/CD
- Hybrid architecture: cloud · edge · on-device
- Keycloak (SSO, OIDC, RBAC), TimescaleDB, Grafana
- Azure DevOps Pipelines, firmware OTA deployment pipelines
- European/independent cloud focus (Hetzner)
Software & Application
- Python, FastAPI — backend services and AI pipelines
- Microservice architecture, API-first design
- Industrial IoT: device connectivity, remote management, dashboards
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2020
Sprachen
DeutschMutterspracheEnglischverhandlungssicher