We are hiring a AI Infrastructure Engineer Start date: ASAP
Zürich, Switzerland (on-site, remote not possible)
Full-time (100%)
Your role As an AI infrastructure SWE you will build the systems that underpin our robot learning. You will work across data pipelines, internal tooling, and model deployment from day one as we build the foundations of our ML infrastructure.
What you’ll be doing:
Build a tiered data processing platform from raw ingestion to versioned training dataset generation
Build and operate the training infrastructure by using containerized deployments and cloud GPU provisioning
Ship models to production with cloud and edge inference and build the evaluation harness to guarantee safe deployments
Create and maintain internal data quality and inspection tooling
What you should have:
5+ years of experience in a professional SWE environment building production software with a significant focus on data platforms or ML infrastructure
Strong Python knowledge and comfortable in a typed language (Rust, Go, C++, ...)
Experience in data pipelines and storage: tiered architecture, workflow orchestration, backfills, and schema evolution
Cloud training experience: you have provisioned GPU instances and trained in a reproducible setup, from containerized deployments to a model registry
Hands-on ML experience: you have trained models and understand dataloader throughput, GPU utilization, and can debug slow or stalled training runs
Strong SWE foundations: You work with IaC and code reviews, propose architectural changes and refactors, and build internal tooling and automation
These skills are a plus:
Edge inference deployment (Jetson or similar) with TensorRT, ONNX, quantization
Multimodal and time-series data: video pipelines, sensor logs, MCAP, time alignment across sources
Distributed training and training performance optimization
GPU cluster management and job orchestration
Rust in production
Don't worry if you don't hit every check-mark. We value people who learn fast and care about building great products. Just give it a go and apply.
#J-18808-Ljbffr
Zürich, Switzerland (on-site, remote not possible)
Full-time (100%)
Your role As an AI infrastructure SWE you will build the systems that underpin our robot learning. You will work across data pipelines, internal tooling, and model deployment from day one as we build the foundations of our ML infrastructure.
What you’ll be doing:
Build a tiered data processing platform from raw ingestion to versioned training dataset generation
Build and operate the training infrastructure by using containerized deployments and cloud GPU provisioning
Ship models to production with cloud and edge inference and build the evaluation harness to guarantee safe deployments
Create and maintain internal data quality and inspection tooling
What you should have:
5+ years of experience in a professional SWE environment building production software with a significant focus on data platforms or ML infrastructure
Strong Python knowledge and comfortable in a typed language (Rust, Go, C++, ...)
Experience in data pipelines and storage: tiered architecture, workflow orchestration, backfills, and schema evolution
Cloud training experience: you have provisioned GPU instances and trained in a reproducible setup, from containerized deployments to a model registry
Hands-on ML experience: you have trained models and understand dataloader throughput, GPU utilization, and can debug slow or stalled training runs
Strong SWE foundations: You work with IaC and code reviews, propose architectural changes and refactors, and build internal tooling and automation
These skills are a plus:
Edge inference deployment (Jetson or similar) with TensorRT, ONNX, quantization
Multimodal and time-series data: video pipelines, sensor logs, MCAP, time alignment across sources
Distributed training and training performance optimization
GPU cluster management and job orchestration
Rust in production
Don't worry if you don't hit every check-mark. We value people who learn fast and care about building great products. Just give it a go and apply.
#J-18808-Ljbffr
Senior AI Infrastructure Engineer (Zürich, 100%) Arbeitgeber: Loki Robotics
Als Arbeitgeber in Zürich bieten wir Ihnen die Möglichkeit, Teil eines innovativen Teams zu werden, das an der Spitze der Robotik-Technologie steht. Unsere offene und unterstützende Unternehmenskultur fördert kontinuierliches Lernen und persönliche Entwicklung, während wir gleichzeitig ein flexibles Arbeitsumfeld mit attraktiven Benefits und einem starken Fokus auf Work-Life-Balance bieten. Hier haben Sie die Chance, Ihre Fähigkeiten in einem dynamischen Umfeld einzubringen und aktiv zur Gestaltung der Zukunft der Robotik beizutragen.
