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Senior/Staff Software Engineer, Runtime
Plus-2
Santa Clara, USA
Full-time
Senior · 5+ years experience
Hybrid
USD 150000-225000 yearly / year
Discovered 1 weeks ago
C++PythonCUDAOpenCLOpenVXHalide
Free
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C++PythonCUDA
Key Skills for This Role
C++PythonCUDAOpenCLOpenVXHalide
Full Job Posting
- Work closely with our autonomy and runtime teams to improve our redundant on-vehicle platform and autonomous software stack.
- Develop perspectives on where opportunities and gaps might be in our redundant software and hardware strategy with a longer-term horizon in mind
- Integrate and optimize performance and robustness of different autonomous software component into redundant on-vehicle platform.
- Design and develop fault detection and fault handling strategies for redundant on-vehicle platform.
- Design and develop validation strategies for redundant on-vehicle platform, including on vehicle testing, Sil and HiL simulation testing.
- Evaluate, integrate and optimize partner middleware into our AD stackOwns or help with driverless operation key features, like mission control, tele assist, etc.
- Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
- Ensure team compliance with QMS, monitor quality, and drive process improvements.
- Minimum 5+ years of professional experience
- MS or PhD in Computer Science or related field
- Strong programming skills in C++ and Python
- Basic understanding of computer vision and deep learning models
- Hands-on experience of high performance IPC / middleware stack
- Strong analytical skills, especially for performance troubleshooting (e.g. profiling, roofline model)
- Familiarity with CUDA, OpenCL, OpenVX, Halide or other SIMD programming models.
- Ability to quickly learn and adapt to new technology
- Ability to work on large code bases and a fast growing environment
- Strong communication skills
- Familiar with Linux system and basic kernel tuning, network tuning, device tree tuning, timesync, etc.
- Comfortable with On-vehicle troubleshooting and performance profiling
- Experience with CV pipeline and model inference on edge platforms
- Experience with ROS2 and DDS
- Experience with automotive HPC SoCs (Nvidia preferred)
- Experience with QNX
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