Tasks:
- * Apply hardware acceleration solutions
- * Build compute scheduling middleware
- * Design heterogeneous computing platform architecture
- * Develop AI Agent and computing middleware
- * Develop autonomous driving and robotics platform software
- * Develop low latency communication systems
- * Develop software for proprietary chip platforms
- * Develop system and network security modules
- * Diagnose cross-layer chip and software issues
- * Improve system reliability
- * Integrate multi-source sensors
- * Optimize hardware-software collaboration
- * Optimize system performance
- * Resolve platform software defects
- * Support production-grade automotive systems
Perks/Benefits:
- + AI systems engineering experience
- + Experience developing proprietary chip platforms
- + Production-grade automotive software experience
- + Work across automotive, robotics, and flying-car products
Skills/Tech stack required:
[Agent architecture] [AI Agent] [AI Agent architecture] [AI Development] [AI Inference] [Algorithm Design] [C#] [C++] [Co-design] [Computer Networking] [Compute scheduling] [Hardware/software] [Hardware-Software Co-design] [Heterogeneous computing] [Language Model applications] [Large Language Model] [Large Language Model applications] [Linux] [Low Latency] [Low-latency communication] [Network Security] [Operating Systems] [Performance Profiling] [Python] [Sensor Integration] [Software Co-design] [System security]
Educational requirements:
[Bachelor's Degree] [Master's Degree]
Role(s):
[AI Platform Engineer] [Engineer] [Platform] [Platform Engineer] [Platform Software Engineer] [Software Engineer] [Systems Software Engineer]