Software Engineer (Robotics)

Location: Palo Alto, United States. Work arrangement: On-site.

Company

hirify.global builds robots that learn from real-world experience and develops the data platform that turns sensor data into training signals.

What you will do

• Build data ingestion pipelines for field capture, teleoperation, and other data sources.
• Develop automated validation systems that identify quality issues before annotation or model training.
• Improve annotation ingestion, tooling, and workflows to increase labeling efficiency and throughput.
• Own data quality and diversity systems, metrics, and collection priorities.
• Build automated annotation methods using computer vision and vision-language models for depth estimation, hand tracking, open-vocabulary detection, and auto-labeling.
• Support live pipelines through debugging, observability instrumentation, and collaboration with research and annotation partners.

Requirements

• 2+ years of software engineering experience building production systems.
• Strong programming fundamentals and comfort working across services, data pipelines, and applied machine learning tooling.
• Experience with real-time or large-scale data pipelines, machine learning data workflows, computer vision, or data infrastructure.
• Experience taking features or systems from prototype to production and supporting them in the field.
• Clear communication and close collaboration with product, research, and annotation or operations partners.

Nice to have

• Hands-on experience with sensor data such as video, depth, IMU, or force/torque data and the infrastructure used to process, validate, and label it at scale.
• Experience with streaming or near-real-time data pipelines.
• Familiarity with machine learning datasets, labeling, and evaluation workflows.
• Experience running or integrating computer vision or vision-language models for depth, pose or hand tracking, open-vocabulary detection, or auto-labeling.

Culture & Benefits

• Early, hands-on, 0-to-1 engineering within a growing data platform team.
• Work directly with research and annotation partners who depend on the platform.
• Direct impact on the data used to train robots and improve their behavior.