Senior C++ Developer – Neural Network Integration & 3D Sensing
Join a team building production-level systems around 3D sensing, perception, and deep learning algorithms for autonomous vehicles. Hands-on role with high ownership, combining C++ development, neural network integration, and system optimization.
Responsibilities
- Design and implement large-scale C++ systems around AI and algorithmic pipelines for real-time 3D sensing and perception.
- Integrate neural network models into production software, including runtime integration, sensor/data flow, pre/post-processing, and validation.
- Collaborate with deep learning, computer vision, and 3D algorithm teams to take models from prototype to robust production systems.
- Build and own application-level infrastructure for efficient edge device execution under strict latency and resource constraints.
- Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads.
- Contribute to neural network deployment flows, such as ONNX Runtime integration, model conversion, inference execution, profiling, and optimization.
- Lead end-to-end feature development, including design, implementation, integration, testing, and deployment.
- Participate in building CI/CD processes, automated testing, and development workflows.
- Debug complex real-time systems involving C++ infrastructure, 3D algorithmic logic, and neural network execution.
- Gradually take broader technical ownership and mentor others.
Requirements
- B.Sc. in Computer Science, Software Engineering, or equivalent.
- 5+ years of hands-on C++ development experience.
- Strong understanding of object-oriented design, software architecture, and large-scale system development.
- Experience working in Linux environments.
- Strong motivation to work close to deep learning algorithms and production AI systems.
- Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration.
- Proactive, ownership-driven mindset with interest in technical leadership growth.
Nice to have
- Experience with performance optimization, memory efficiency, and real-time systems.
- Experience with ONNX Runtime, TensorRT, or similar inference runtimes.
- Familiarity with CI/CD processes and automated testing.
- Experience working with algorithm, computer vision, deep learning, 3D perception, or data teams.
- Background in 3D computer vision, multi-view geometry, point clouds/depth, object detection, localization, or embedded/edge AI deployment.
- Experience with sensor fusion or camera/lidar-based perception pipelines.