ML Infrastructure Engineer

About Sygaldry

Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI were accelerating the path to superintelligence and addressing the problem of rising compute costs and energy bottlenecks. Sygaldry AI servers combine multiple qubit types within a single fault-tolerant architecture to deliver the combination of cost scale and speed necessary for advanced AI applications. We pioneer new domains in physics engineering and AI tackling the hardest challenges with a grounded optimistic and rigorous culture. Were looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact.

About the Role

Our AI & Algorithms team is growing fast - research scientists applied mathematicians and quantum algorithm researchers developing the algorithms that will accelerate and transform AI. They need compute infrastructure that stays out of their way: GPU access thats reliable experiments that are reproducible and workloads that scale without requiring each researcher to become a cloud expert. Youll build and manage the compute platform this team runs on. The workloads are diverse -- quantum circuit simulation large-scale numerical optimization model training tensor network contractions and high-throughput data generation -- across multiple cloud providers and on-prem GPU servers. You own the full stack from cloud provider configuration to the Python APIs that researchers use to launch jobs.

What Youll Work On

Research Computing & Developer Experience

• Build compute abstractions that handle the teams diverse workloads: GPU-accelerated simulation distributed training high-throughput CPU jobs and interactive analysis -- across PyTorch JAX and scientific computing frameworks

• Stand up experiment tracking and reproducibility infrastructure

• Create developer tooling that makes cloud compute feel local: environment setup job submission monitoring and artifact management

• Scale experiments from single-GPU prototyping to multi-node production runs

Multi-Cloud GPU Orchestration

• Design multi-provider workload orchestration: route jobs based on cost availability and capability

• Manage and optimize spend across cloud providers -- track credit balances burn rates and expiration dates

• Configure hybrid local cloud workflows as on-prem GPU infrastructure comes online

• Coordinate with our infrastructure engineer on cloud administration and security

Pipeline Infrastructure

• Build CI/CD pipelines for research workloads: automated testing evaluation benchmarks artifact management

• Create data generation and preprocessing pipelines at the throughput the teams simulators demand

• Set up monitoring alerting and cost dashboards that surface problems before researchers hit them

You May Be a Good Fit If You

• Think in systems: you see how compute storage networking and cost interact

• Care about developer experience: youve felt the pain of bad research infrastructure

• Are pragmatic about tooling: right tool for the job no over-engineering

• Take ownership: you want to own a critical function with autonomy

• Write things down: you document decisions and create runbooks

Strong Candidates May Have

• Deep AWS experience (EC2 S3 IAM CloudFormation or Terraform)

• GPU compute management (instance types spot strategies multi-GPU distributed training)

• Python-based ML and scientific computing tooling (PyTorch JAX)

• GCP and/or Modal experience

• MLops or research computing platforms (MLflow W&B Kubeflow or HPC job schedulers)

• CI/CD pipeline management (GitHub Actions containers)

• Hybrid cloud / on-prem GPU cluster management

• Experience supporting research teams with heterogeneous computing needs

How Were Different

At Sygaldry curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded optimistic and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big yet we execute with a love of detail. Were looking for scientists engineers and operators to forge new paths with us at the intersection of quantum and AI.

Culture & Benefits

• Visa Sponsorship - We know what it takes to make top talent thrive here. Were open to supporting visas whenever possible.

• Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity.

• Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind.

• Connection - Whether its company offsite or casual crew socials we make time to connect recharge and have fun together.

• Time Off - We trust you to take the time you need. Unlimited PTO so you can rest recharge and come back ready to make an impact.

We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristics.

We encourage you to apply even if you do not believe you meet every single qualification. If you dont think this role is right for you but you believe that you would have something meaningful to contribute to our mission please reach out at

Required Experience:

IC