ABOUT BLACK FOREST LABS

We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates

images and video. We’re creating the generative models that power how people make images and video—tools used by millions of

creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting

started.

Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes

us different: research excellence, open science, and building technology that expands human creativity.

WHY THIS ROLE

We're looking for engineers to build and maintain the engine that powers our mission to develop visual intelligence. From

maintaining and scaling clusters, to building research platforms to accelerate the rate of innovation, this team operates with

large breadth and depth. We build the systems to make multi-week/month long training possible, to orchestrate resources at scale,

and at the same time efficiently, enabling the next breakthrough model. If you’re obsessed with distributed systems at scale,

infrastructure reliability, scalability, security, and continuous improvement, this team would be perfect for you.

WHAT YOU’LL WORK ON

Maintain research infrastructure, ensuring health, and optimizing components to extract peak performance from the system (both

on application, and infrastructure side)

Scale infrastructure to meet growing research demands while maintaining reliability and performance
Collaborate with research teams to deeply understand their infrastructure needs, and design solutions that balance performance

with cost efficiency.

Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.
Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and

costs across our cloud and datacenter fleets.

Participate in on-call rotations and incident response to maintain system reliability

TECHNICAL FOCUS

Python, Bash, Go
Kubernetes
Nvidia GPU drivers, and operators
OTel, Prometheus

WHAT WE’RE LOOKING FOR

Experience building or operating large-scale training platforms
Worked with large scale compute clusters (GPUs)
Proven ability to debug performance and reliability issues across large distributed fleets
Strong problem-solving skills and ability to work independently
Strong communication skills and the ability to work effectively with both internal and external partners
Deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP
Experience with SLURM
Experience building or operating large-scale training platforms

HOW WE WORK TOGETHER

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or

SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected.

We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it

accessible to all. We’ll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.
Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.
Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.
Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

If this sounds like work you’d enjoy, we’d love to hear from you.

Base Annual Salary:

EU €100,000 - €230,000 + Equity

US $150,000 - $300,000 + Equity

This role is based in our Freiburg / San Francisco office. We operate a hybrid model and cover reasonable travel costs —

relocation is encouraged but not required. We do expect a meaningful in-person presence, and we'll discuss what that looks like

for your situation during the process.

Roll

Member of Technical Staff - Research Infrastructure Engineer

Kategori

Data/IT

Plats

Freiburg (Germany), Schweiz

Publicerad

23 juni

Sista ansökningsdag

16 augusti

Källa

Arbetsgivarens hemsida

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AWSAIMachine Learning