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Fluidstack

Senior / Staff Infrastructure Engineer (Compute)

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In-Office
Austin, TX, USA
In-Office
Austin, TX, USA

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About FluidStack

At Fluidstack, we’re building the infrastructure for abundant intelligence. We partner with top AI labs, governments, and enterprises - including Mistral, Poolside, Black Forest Labs, Meta, and more - to unlock compute at the speed of light.

We’re working with urgency to make AGI a reality. As such, our team is highly motivated and committed to delivering world-class infrastructure. We treat our customers’ outcomes as our own, taking pride in the systems we build and the trust we earn. If you’re motivated by purpose, obsessed with excellence, and ready to work very hard to accelerate the future of intelligence, join us in building what's next.

About the Role

We are looking for an Senior / Staff Infrastructure Engineer (Compute) to design, deploy, and manage the compute infrastructure powering Fluidstack's GPU clusters. You will be responsible for ensuring the performance, scalability, and reliability of our compute resources, working closely with hardware and software teams to support our AI workloads.

Focus
  • Design and implement GPU/ASIC infrastructure at the server, rack, and system level.

  • Troubleshoot complex GPU and compute system related failures.

  • Develop and maintain hardware/firmware management services.

  • Automate all aspects of the server lifecycle.

  • Own end-to-end compute lifecycle, including partnering with vendors on RMAs.

  • Serve as the main point of contact for hardware escalation and troubleshooting.

  • Monitor system performance, identifying and resolving bottlenecks.

  • Automate deployment and management tasks to improve efficiency.

  • Collaborate with storage and network teams to ensure cohesive infrastructure operations.

About You
  • 5+ years of experience in compute infrastructure engineering.

  • Strong knowledge of Linux systems administration and performance tuning.

  • Experience with bare metal provisioning tools (MaaS, Metal3, Tinkerbell, or other).

  • Familiarity with GPU hardware and workload optimization, especially kernel and driver level requirements.

  • Proficiency in automation tools (e.g., Ansible, Terraform).

  • Experience operating Kubernetes and SLURM clusters.

Salary & Benefits
  • Competitive total compensation package (salary + equity).

  • Retirement or pension plan, in line with local norms.

  • Health, dental, and vision insurance.

  • Generous PTO policy, in line with local norms.

The base salary range for this position is $200,000 - $350,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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