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13 дней назад

Principal Digital Architect (Simulation & Robotics Data)

147 760 - 240 110$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Digital Architect (Simulation & Robotics Data): Defining data architectures, contracts, standards, and scalable foundations for simulation, robotics, and Physical AI systems with an accent on multimodal sensor data, synthetic datasets, and AI lifecycle governance. Focus on designing reproducible training data environments, building data patterns for world-model development, and aligning machine and site data with autonomous system requirements.

Location: Irving, Texas, United States; onsite five days a week. Domestic relocation assistance is available. Visa sponsorship is available for eligible applicants.

Salary: $147,760–$240,110 per year.

Company

hirify.global develops connected machines, software, autonomy, and AI solutions for safer, more productive, and more sustainable jobsites.

What you will do

  • Define data architecture and contracts for information flowing from machines and jobsite systems into enterprise ingestion platforms.
  • Establish standards for data exchange, schemas, naming, metadata, interfaces, governance, lineage, and traceability.
  • Design architectures for simulation, synthetic, scenario-based, and multimodal sensor, video, image, telemetry, event, and robotics data.
  • Create scalable data patterns for robotics training, world-model development, and Physical AI initiatives.
  • Define labeling, versioning, lifecycle management, and reproducibility strategies for AI training, validation, and testing datasets.
  • Partner with perception, simulation, robotics, data engineering, and platform teams to align data capabilities with engineering objectives.

Requirements

  • Progressive software engineering and architecture experience focused on data, typically 10+ years.
  • Experience designing enterprise data domains, canonical data models, data contracts, metadata strategies, and scalable AI data architectures.
  • Strong understanding of training data, fine-tuning datasets, feature engineering, vector data, model evaluation data, synthetic data, and AI data pipelines.
  • Knowledge of machine telemetry, sensor data, digital twins, simulation data, edge-to-cloud architectures, and autonomous systems.
  • Ability to define architectural roadmaps, establish standards, influence senior leaders, and provide technical direction across engineering organizations.
  • Ability to work full-time onsite at the Irving, Texas office five days per week.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Paid vacation, holidays, and volunteer time.
  • 401(k), HSA, FSA, disability, life insurance, and parental and adoption benefits.
  • Career development, tuition reimbursement, employee discounts, and incentive bonus opportunities.
  • Drug screening is required as a condition of employment.

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