About the Role
Nextera Robotics is a fast-growing Physical AI company founded at MIT. We build and deploy advanced AI systems and autonomous technologies for Fortune 500 clients across construction, energy, and manufacturing. We move fast with small, agile teams. Autonomy is the standard, not the exception. You'll take your work from idea to production and see it create real value in the field. The work is challenging, deeply technical, and seriously rewarding.
This role is built for a strong engineer with a versatile software development background and a real passion for AI, machine learning, and robotics.
What you'll do:
- Build and productionize advanced computer vision and multimodal AI systems for real-world industrial deployment - spanning detection, segmentation, visual understanding, and VLM/LLM-powered reasoning.
- Turn large-scale visual data collected by autonomous robots into actionable insights for progress tracking, safety monitoring, and project intelligence.
- Develop AI systems deployed across robotics, construction, energy, and telecommunications.
- Work closely with engineers and annotators to expand and improve high-quality training datasets.
- Support and scale machine learning operations (MLOps).
- Build and maintain the cloud infrastructure and ML pipelines that power training, evaluation, and deployment.
Required:
- Proven academic or industry experience building computer vision systems, including areas such as object detection, segmentation, visual understanding, or multimodal models.
- Strong Python skills, with the ability to build, test, and iterate quickly in a production-oriented environment.
- Proficiency using modern AI-assisted development tools such as coding agents, GitHub Copilot, or similar systems to accelerate implementation, debugging, and iteration.
- Solid problem-solving skills, strong ownership, and the ability to communicate clearly across technical and non-technical teams.
- Familiarity with data pipelines, model evaluation, and real-world ML workflows.
Good to have:
- Strong background in mathematics, statistics, physics, or another highly quantitative field.
- Experience with VLMs, LLMs, or multimodal AI systems.
- Familiarity with MLOps, cloud infrastructure, and training or deployment pipelines.
- Back-end experience with modern frameworks; Django and MySQL are a plus.