Forward-Deployed Engineer

The Role

Config is building the data and model layer for real-world robotic automation. We develop scalable data infrastructure and robot foundation models for bimanual manipulation, helping customers automate complex physical tasks faster.

We are already working with multiple enterprise customers, including Fortune Global 500 companies, to bring robot foundation models from research into real-world production environments.

As a Forward-Deployed Engineer at Config, you will own the customer-side adaptation loop: understanding the customer’s target task, designing the data strategy, deploying data collection and evaluation pipelines, driving model adaptation, analyzing failure modes, and rapidly iterating until Config’s models are successfully adapted to real-world customer workflows.

This is a high-ownership role at the intersection of robotics, machine learning, product, and customer deployment. You will work closely with Product, Technology teams, and customers to turn complex automation challenges into repeatable, scalable robotic intelligence.

Config is building the data and model layer for real-world robotic automation. We develop scalable data infrastructure and robot foundation models for bimanual manipulation, helping customers automate complex physical tasks faster.

We are already working with multiple enterprise customers, including Fortune Global 500 companies, to bring robot foundation models from research into real-world production environments.

As a Forward-Deployed Engineer at Config, you will own the customer-side adaptation loop: understanding the customer’s target task, designing the data strategy, deploying data collection and evaluation pipelines, driving model adaptation, analyzing failure modes, and rapidly iterating until Config’s models are successfully adapted to real-world customer workflows.

This is a high-ownership role at the intersection of robotics, machine learning, product, and customer deployment. You will work closely with Product, Technology teams, and customers to turn complex automation challenges into repeatable, scalable robotic intelligence.

Areas You May Contribute To

Work directly with Product, Technology teams, and customers to turn target tasks in real customer operating environments into successful robotic automation deployments.
Design task-adaptation data strategies, including scenario coverage, variation design, failure case discovery, and data collection protocols.
Support on-site deployment of Config’s data collection, model adaptation, and evaluation pipelines.
Drive or coordinate task-specific data collection, model fine-tuning/adaptation, and performance evaluation for customer use cases.
Evaluate model performance in real-world customer environments and identify key failure modes across data, perception, action generation, and system integration.
Close the loop between evaluation, targeted data collection, model improvement, and redeployment.
Build tools, scripts, and workflows that make customer deployments faster, more reliable, and more repeatable.
Communicate technical findings clearly to Product, Technology, and customer stakeholders.

Work directly with Product, Technology teams, and customers to turn target tasks in real customer operating environments into successful robotic automation deployments.
Design task-adaptation data strategies, including scenario coverage, variation design, failure case discovery, and data collection protocols.
Support on-site deployment of Config’s data collection, model adaptation, and evaluation pipelines.
Drive or coordinate task-specific data collection, model fine-tuning/adaptation, and performance evaluation for customer use cases.
Evaluate model performance in real-world customer environments and identify key failure modes across data, perception, action generation, and system integration.
Close the loop between evaluation, targeted data collection, model improvement, and redeployment.
Build tools, scripts, and workflows that make customer deployments faster, more reliable, and more repeatable.
Communicate technical findings clearly to Product, Technology, and customer stakeholders.

What We’re Looking For

Strong engineering ability, especially in Python and robotics/ML-related systems.
Experience working with robotic systems, machine learning models, data pipelines, or real-world deployment environments.
Ability to debug complex issues across software, hardware, data, and model behavior.
Strong ownership, product sense, and ability to operate in customer-facing technical environments.
Comfort working in fast-moving, ambiguous environments.
Excitement about turning robot foundation models into real-world automation systems.

Strong engineering ability, especially in Python and robotics/ML-related systems.
Experience working with robotic systems, machine learning models, data pipelines, or real-world deployment environments.
Ability to debug complex issues across software, hardware, data, and model behavior.
Strong ownership, product sense, and ability to operate in customer-facing technical environments.
Comfort working in fast-moving, ambiguous environments.
Excitement about turning robot foundation models into real-world automation systems.

Bonus Points

Experience with robot learning, imitation learning, teleoperation, VLA/RFM systems, or model fine-tuning.
Experience with robot arms, grippers, cameras, sensors, calibration, or on-site robotics deployment.
Experience with Docker, cloud infrastructure, data platforms, or deployment automation.
Prior startup experience or experience in a high-ownership technical role.

Experience with robot learning, imitation learning, teleoperation, VLA/RFM systems, or model fine-tuning.
Experience with robot arms, grippers, cameras, sensors, calibration, or on-site robotics deployment.
Experience with Docker, cloud infrastructure, data platforms, or deployment automation.
Prior startup experience or experience in a high-ownership technical role.

Location

📍 242 Teheran-ro, Gangnam-gu, Seoul (5 min walk from Yeoksam Station)

** This role is open to both on-site and remote candidates in US.

📍 242 Teheran-ro, Gangnam-gu, Seoul (5 min walk from Yeoksam Station)

** This role is open to both on-site and remote candidates in US.

Contact

Interested in joining us? Apply

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