24 дня назад
Cloud Platform - Infrastructure Engineer (Robotics)
140 000 - 174 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Cloud Platform - Infrastructure Engineer (Robotics) (Cloud Infrastructure/MLOps): Building scalable cloud, ML, ETL, and CI/CD infrastructure that transforms robot telemetry into datasets, analytics, and deployable models with an accent on self-service workflows, model lifecycle management, and fleet operations. Focus on designing checkpointing and experiment-tracking systems, automating data pipelines, deploying models to field robots, and improving platform reliability and cloud cost efficiency.
Location: Pittsburgh, PA; onsite five days a week
Salary: $140,000–$174,500 per year, plus potential equity awards and an annual performance-based bonus.
Company
Robotics develops and deploys robots for direct-to-customer food production, with a focus on improving efficiency, quality, and customer satisfaction in the food industry.
What you will do
- Own the cloud platform infrastructure supporting a fleet of food-production robots.
- Design and maintain scalable ML infrastructure for storage, pipeline management, environment setup, checkpointing, metadata, and experiment tracking.
- Build self-service ML workflows and tooling for ML engineers and data scientists.
- Develop automated ETL and data-ingestion pipelines that transform robot telemetry into datasets for training and analytics.
- Contribute to Terraform infrastructure-as-code and CI/CD automation for model deployment, data processing, and cloud services.
- Partner with cloud and embedded engineers on fleet model deployment, platform observability, reliability, model-drift monitoring, and cloud-cost optimization.
Requirements
- 3+ years of experience in cloud infrastructure, MLOps, and data engineering at scale.
- Experience with automated model checkpointing, model registries, metadata management, and tools such as MLflow or Kubeflow.
- Strong experience with cloud workflow orchestration tools such as Argo Workflows, Airflow, Prefect, or similar.
- Experience with cloud storage architectures and building self-service ML platforms, pipeline abstraction layers, or automated developer workflows.
- Experience working with embedded engineers.
- Ability to work onsite in Pittsburgh five days per week.
Culture & Benefits
- Collaborative environment with support and guidance from experienced colleagues and managers.
- Medical, dental, and vision insurance, including HSA options.
- Company-paid life and short- and long-term disability insurance.
- 401(k), healthcare, dependent-care, and commuter flexible spending accounts.
- Discretionary vacation, eight paid holidays, paid sick time, bereavement leave, and parental leave.
- Pet insurance discounts and potential equity awards and performance-based bonuses.
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