5+ years of software engineering experience, preferably in backend engineering or customer-facing roles.
Strong programming skills in Python, with experience in production systems.
Experience in developing data pipelines, backend infrastructure, or distributed systems.
Ability to translate ambiguous requirements into actionable solutions for technical customers.
Strong problem-solving and communication skills, with a focus on collaboration.
Comfortable in a fast-paced startup environment with high ownership and ambiguity.
Responsibilities
Lead customer engagements from requirements gathering to delivery.
Work directly with customers to address their robotics and AI needs.
Develop and optimize data pipelines and workflows for large-scale datasets.
Translate customer feedback into actionable improvements for engineering teams.
Build reusable tools and automation to enhance delivery efficiency.
Contribute to platform integrations and model evaluation workflows.
Benefits
Opportunity to work on cutting-edge robotics and AI technologies.
Significant ownership of projects and direct impact on customer success.
Collaborative and innovative startup culture.
Exposure to a variety of technical challenges and customer interactions.
Full Job Description
Key Responsibilities
Own End-to-End Technical Delivery: Lead customer engagements from requirements gathering and technical scoping through implementation, validation, and delivery.
Serve as a Technical Partner: Work directly with customers to understand their robotics, AI model training, and data infrastructure needs, troubleshoot issues, and drive successful outcomes.
Build and Improve Data Infrastructure: Develop and optimize data pipelines, integrations, and workflows supporting large-scale robotics and multimodal AI datasets.
Drive Product Improvements: Translate customer feedback and technical challenges into actionable improvements for internal engineering and platform teams.
Develop Scalable Solutions: Build reusable tools, automation, and technical processes to improve delivery efficiency and customer experience.
Support Future AI Capabilities: Contribute to platform integrations, model fine-tuning, and evaluation workflows as the company scales.
Qualifications
5+ years of professional software engineering experience, ideally in backend engineering, data infrastructure, or customer-facing technical roles.
Strong programming skills in Python, with hands-on experience building and maintaining production systems.
Experience developing data pipelines, backend infrastructure, APIs, or distributed systems.
Ability to work directly with technical customers, translate ambiguous requirements into solutions, and independently drive projects.
Strong problem-solving, communication, and cross-functional collaboration skills.
Comfortable working in a fast-paced startup environment with significant ownership and ambiguity.
Preferred Qualifications
Experience in robotics, embodied AI, autonomous systems, or machine learning infrastructure.
Familiarity with multimodal datasets, robot learning, teleoperation, or Vision-Language-Action (VLA) models.
Experience with robotics data formats such as MCAP or HDF5.
Previous experience as a Forward Deployed Engineer, Solutions Engineer, Founding Engineer, or Technical Lead.
Exposure to AI model training, fine-tuning, evaluation, or large-scale data processing.
