Job Description

Why RoboForce

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are seeking a Staff AI Research Engineer, Perception to lead robot perception capabilities from research to real-world deployment. In this role, you will develop and ship production-grade perception models — spanning object detection, pose estimation, depth estimation, and scene understanding — directly onto RoboForce robotic platforms operating in demanding industrial environments.
Responsibilities

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  Develop and own state-of-the-art perception models for object detection, 6-DoF pose estimation, depth estimation, multi-object tracking, and multi-sensor fusion from research through to on-robot deployment.
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  Build and optimize full perception stacks end-to-end — from data preparation and model training to quantization, TensorRT conversion, and inference optimization on robot compute hardware.
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  Implement multi-task learning pipelines and distributed training workflows to maximize model efficiency and generalization across diverse industrial scenarios.
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  Profile and optimize deployed perception models for latency, throughput, and memory constraints on embedded robot hardware.
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  Collaborate with manipulation and foundation model teams to integrate perception outputs — object poses, depth maps, scene graphs — into downstream robot control policies.

Requirements

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  Master's degree in Machine Learning, AI, Robotics, or a related field with 4+ years of industry experience, or a PhD degree.
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  Expertise in modern computer vision architectures and perception techniques including detection, segmentation, pose estimation, and depth estimation.
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  Proven experience deploying perception models to production systems — including model optimization, quantization, and inference runtime engineering (e.g., TensorRT, ONNX Runtime).
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  Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and strong proficiency in Python and C++.
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  Strong understanding of linear algebra, projective geometry, probabilistic theory, and numerical optimization, with practical experience implementing these in real systems.
• Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications

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  Experience deploying perception models on embedded or edge hardware (e.g., NVIDIA Jetson, Orin) in robotics or autonomous systems.
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  Familiarity with 3D perception techniques — point cloud processing, neural rendering, 3D reconstruction, or NeRF/Gaussian Splatting.
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  Proven ability to scale perception training across GPU clusters and design robust data pipelines for large-scale visual datasets.
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  Publication at top computer vision or robotics conferences (CVPR, ICCV, ECCV, ICRA, CoRL).

Benefits

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  Competitive stock options/equity programs.
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  Health, dental, and vision insurance, 401(k) plan.
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  Visa sponsorship and green card support for qualified candidates.
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  Lunches and dinners, a fully stocked kitchen, and regular team-building events.