Member of Technical Staff - Research Infrastructure Engineer
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Role details
Tech stack
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Job description
- 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, 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.
Requirements
- 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
Benefits & conditions
- 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
About the company
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.
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