Shape the future with us!
Your Role & Responsibilities
Own the development of a high-performance perception platform powering humanoid robotic systems.
Design and implement high-throughput, low-latency sensor pipelines in modern C++.
Optimize GPU data paths using CUDA, including memory management, concurrency, and zero-copy techniques.
Deploy and optimize perception workloads on embedded GPU platforms (e.g., NVIDIA Jetson).
Translate state-of-the‑art perception research into robust, production‑ready systems.
Integrate accelerated inference runtimes (e.g., TensorRT).
Design clean and stable interfaces to downstream autonomy modules.
Build pipelines for automated dataset generation, model training, and evaluation in collaboration with MLOps.
Establish strong engineering practices, including automated CI testing, observability, and performance profiling.
Required Technical & Professional Expertise
MSc or PhD in Computer Science or a related field.
Expert‑level C++ skills with strong systems fundamentals and at least 5 years of relevant experience.
Experience building real‑time, production‑grade data pipelines.
Strong understanding of GPU‑accelerated systems, including efficient data movement, concurrency, and performance optimization with CUDA.
Experience deploying software on embedded GPU platforms (e.g., NVIDIA Jetson).
Experience with automated testing, validation, and benchmarking.
Proven track record of bringing perception systems from research into reliable production deployments.
Experience with frameworks such as ROS2, GStreamer, DeepStream, NVIDIA GXF/NITROS, or similar.
Familiarity with synthetic data generation and simulation platforms (e.g., NVIDIA Isaac Sim) is a plus.
Strong engineering judgment with the ability to balance deep technical work and pragmatic execution for high‑impact results.
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