Research Engineer, Robotic Learning

Requirements: Bachelor’s degree or foreign degree equivalent in Computer Science, Mathematics, Software Engineering, Robotics, or related field and four (4) years of experience in Software Engineering or related role.

Skills: Experience and/or education must include

• Train large-scale imitation-learning models for motion planning. Curate expert demonstration datasets, designing loss functions, and deploying policies in real-world or simulated environments. Implement DAgger (Dataset Aggregation), including iteratively collecting additional expert demonstrations in response to model errors, to reduce covariate shift and improve policy robustness.
• Generative architectures such as diffusion models, variational autoencoder, or applied to planning. Model architecture selection and stable training on high-dimensional data.
• Architecting and executing distributed neural-network training across large GPU clusters. Data/model parallelism, gradient synchronization such as NCCL, fault tolerance, and efficient I/O for multi-TB datasets.
• Build and optimize low-latency, real-time software systems. Use of C++ for hard-real-time applications, with hands-on knowledge of multithreading, lock-free data structures, and real-time OS constraints.

CONTACT: Please reference Job ID: 9443267 & email resume to [email hidden]