Senior/Staff Software Engineer - Data Platform

Added
3 hours ago
Type
Full time
Salary
Salary not provided

Related skills

cloud infrastructure data engineering kubernetes mlops data pipelines
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πŸ“‹ Description

  • Build the Capability Factory internal platform to teach HMND robots from data to capabilities.
  • Curate, preprocess, and manage large-scale datasets for robot training toward petabyte scale.
  • Design and operate scalable data pipelines and compute infrastructure for reliability and throughput.
  • Ensure quality, accuracy, and consistency of training data across projects.
  • Collaborate with ML teams to shape the Capability Factory and streamline MLOps.
  • Build data warehouse solutions and BI dashboards for visibility into data and model health.

🎯 Requirements

  • 5+ years of software engineering experience delivering complex systems end-to-end.
  • Strong backend engineering: APIs, data modeling, error handling, and performance under load.
  • PB+ scale data engineering: pipelines that move, transform, and validate large data volumes; batch/streaming; schema evolution.
  • Workflow orchestration at scale: multi-step pipelines with retries, observability, and graceful failure handling.
  • Distributed systems fundamentals: eventual consistency, idempotency, backpressure, scheduling, and failure modes.
  • Cloud infrastructure fluency: major cloud provider with focus on cost, reliability, and security.

🎁 Benefits

  • Competitive equity: stock options with meaningful upside.
  • 30+ paid days off, including 23 days annual leave and holidays.
  • Private healthcare, including virtual and in-person care.
  • Pension scheme with 8% total contribution.
  • Free daily breakfast, catered lunch, and snacks in-office.
  • Work with world-class engineers on humanoid robotics.
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