Senior AI Infrastructure & Inference Engineer (m/f/d) | 100% remote
Projektbewertung
Die Ausschreibung bietet grundlegende Informationen zum Projekt, lässt aber Details zu Stundensatz, konkreten Tätigkeiten und technischen Anforderungen vermissen, was die Bewertung auf ein mittleres Niveau setzt.
For a client from the Telecom sector we are currently looking for a Senior AI Infrastructure & Inference Engineer (m/f/d).
a) Project Details:
Duration: 05.01.2026 – 30.06.2026 (with option to extend)
Location: Fully remote
Workload: 100% / Full-time (volume of 960 hours)
Project language is Englisch
Candidates from the EU are welcome
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fiel (Required Skill) 5+ years of experience in high-performance computing, GPU infrastructure, or distributed Systems (Required Skill) Deep understanding of multi-GPU orchestration, workload scheduling, and distributed architectures (Required Skill) Proficiency with programming (Python or similar language) and systems automation Scripting (Required Skills) Strong background in containerization (Docker), orchestration frameworks (Kubernetes), and CI/CD Pipelines (Required Skill) Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry (Required Skiil) Strong understanding of OS-level performance (multi-threading, networking, memory management) (Required Skill) Clear communication skills and the ability to work collaboratively across technical Teams (Required Skill) Experience with NVIDIA DGX systems, NIM, TensorRT-LLM, or high-performance inference Frameworks (Preferred Skill) Hands-on knowledge of CUDA, NCCL, Triton, MPI, NVLink, or InfiniBand Networking (Preferred Skill) Experience deploying GPU clusters in both cloud and bare-metal Environments (Preferred Skill) Familiarity with open-source inference ecosystems like SGLang, vLLM, or NVIDIA Dynamo (Preferred Skill) Knowledge of LLM optimization techniques for inference and fine-tuning acceleration (Preferred Skill) Understanding of enterprise security frameworks, compliance standards, and GDPR requirements (Preferred Skill)
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