Staff Robotics Research Engineer: Perception & Foundation Models

Industrial Next (YC W22); San Francisco (CA); Vor Ort; USD 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

Competitive base salary

Equity included

Relocation support

Medical, dental, and vision coverage

Zusammenfassung

IndustrialNext, based in San Francisco, is building autonomous factories with state-of-the-art perception and foundation-model driven robotics. As a Member of Technical Staff, Research, you will advance perception models, data pipelines, and scalable training workflows for real-world robots deployed in manufacturing.

You will collaborate across hardware and software, train on real and simulated data, and lead efforts from model design to deployment, ensuring high-precision manipulation and

Qualifikationen

• BS in CS / CSE or equivalent; MS/PhD in robotics/AI focusing on manipulation preferred.
• 3+ years combined graduate and professional experience in manipulation-focused AI (perception, IL/RL, foundation models).
• Fluency with vision/models; experience with Imitation Learning and Reinforcement Learning; discuss architecture and training.

Aufgaben

• Build perception models, foundation models, and policies for dexterous manipulation.
• Train and validate across handheld data, simulation, and real-robot deployment.
• Build infrastructure for large-scale data collection, model training and deployment.
• Drive sim-first workflow and self-improving learning on real cells.

Kenntnisse

Manipulation AI experience

Vision model proficiency

Reinforcement learning basics

Data pipeline development

Hands-on robotics experience

Ausbildung

BS in CS / CSE

MS or PhD in robotics or AI focused on manipulation

Tools

Simulation tools (MuJoCo, IsaacSim)

TensorFlow/PyTorch

C++/Python

Jobbeschreibung

IndustrialNext, based in San Francisco, is building autonomous factories with state-of-the-art perception and foundation-model driven robotics. As a Member of Technical Staff, Research, you will advance perception models, data pipelines, and scalable training workflows for real-world robots deployed in manufacturing.

You will collaborate across hardware and software, train on real and simulated data, and lead efforts from model design to deployment, ensuring high-precision manipulation and