Robotics Algorithm Engineer

Robotics Algorithm Engineer (Perception Scene Reconstruction & Human-Centric AI)

We are seeking a highly skilled Robotics Algorithm Engineer to join our core R&D team and help build next-generation embodied AI this role you will develop cutting-edge algorithms across visual perception 3D scene understanding robot learning and multi-sensor fusion and deploy them directly on real robotic platforms impacting production-level systems.

What Youll Do

Develop and deploy algorithms for perception 3D reconstruction visual SLAM / VIO and autonomous scene understanding.

Build robot learning pipelines including imitation learning reinforcement learning and foundation model fine-tuning.

Create data-driven models leveraging large-scale egocentric and human-robot datasets.

Architect robust multi-sensor fusion frameworks integrating vision proprioception and tactile sensing.

Implement production-level software using ROS / ROS2 C and Python.

Test benchmark and optimize algorithms on physical robotic systems.

Collaborate cross-functionally on data generation model evaluation and system-level optimization.

Contribute to publications patents and internal technical roadmaps.

Mentor junior engineers and support a culture of innovation.

Minimum Qualifications

MS or PhD in Robotics CS EE or related field (or equivalent experience).

3 years experience in robotics computer vision or ML for embodied systems.

Strong C & Python skills; experience with ROS / ROS2 .

Solid grounding in 3D geometry optimization and estimation.

Experience in one or more :

Visual SLAM / VIO / multi-view geometry

3D reconstruction / mapping

Sensor fusion & state estimation

Robot learning (IL RL or foundation model adaptation)

Previous deployment of algorithms on real robotic hardware .

Preferred Qualifications

PhD with research in robot learning embodied AI or visual perception.

Deep knowledge of PyTorch / TensorFlow.

Experience with imitation learning reinforcement learning and policy optimization.

Experience with CLIP RT-1 VLA or similar VLM / robotics foundation models.

Background in 3D human modeling MoCap or human-to-robot demonstrations.

CUDA multi-threading or distributed training experience.

Publications in ICRA IROS CoRL RSS CVPR ICCV NeurIPS.

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Experience : years

Vacancy : 1