Design, build, and maintain scalable ML infrastructure that abstracts away underlying storage, pipeline management, and repetitive environment setup tasks.
Implement robust systems for automated model checkpointing, persistent metadata management, and experiment tracking across distributed training runs.
Create self-service ML workflows and tooling that empower ML engineers and data scientists to focus on core logic, model architecture, and validation.
Build and maintain automated ETL and data ingestion pipelines that stream and transform raw robot telemetry into clean datasets for training and analytics.
Contribute to infrastructure-as-code (Terraform) and CI/CD automation for model deployment, data processing, and cloud services.
Partner with cloud and embedded engineers to streamline model deployment to fleets of robots in the field and participate in on-call rotations for platform reliability.
Monitoring & Cost: Track model drift, system throughput, and optimize cloud compute costs.
What we're looking for
3+ years of experience in Cloud infrastructure, MLOps, and data engineering at scale.
Hands-on experience designing systems for automated model checkpointing, model registries, and metadata management (e.g., MLflow, Kubeflow etc).
Strong experience with Cloud workflow orchestration tools (Argo Workflows, Airflow, Prefect, or similar) and cloud storage architectures.
Proven track record building self-service ML platforms, pipeline abstraction layers, or automated developer workflows.
Experience with working with embedded engineers.
Why join us
Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery.
Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.
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Staff Systems Integration Engineer, Hardware-in-the-Loop (HIL)
San Francisco, USA
Senior
Who we are
Atoms is building the machines that power the next era of progress.
Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are m
This role is based in our Pittsburgh office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $140,000 - $174,500 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.