
High-Performance Software Developer
1 week ago
We are seeking a talented Senior Software Engineer to join our high-performance team. As a senior member of this team, you will have responsibility for modeling the XDNA architecture in terms of functionality, accuracy and simulation speed.
The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated technical issues to resolution. They should have demonstrated ability to identify technical problems, explore and propose viable options, and apply technical solutions. They should be able to excel in a global team environment with strong verbal and written communication skills.
Main Responsibilities:
- Vitis AI is AMD's primary SDK that enables users to compile and run their ML models on the XDNA architecture. The selected candidate will work with compiler, runtime/driver teams to bring up latest AI models like CNNs, Transformers, StableDiffusion, NLPs etc. on the XDNA simulator.
- Candidate will develop a deeper understanding of the various ML models, and how they are executed, identify performance bottlenecks and enable faster development.
Requirements:
- Minimum 10 years of relevant work experience.
- Strong background in C++ based development and debug, dealing with multi-threaded infrastructure and performance optimization.
- Experience in creating cycle accurate modeling of IPs in C++ or SystemC / TLM.
- Understanding of SoCs, and bringing up of software stack from driver to application on simulation model.
- Understanding hardware metrics like latency/throughput on any sub-system, and what changes impact those metrics.
- Experience in software development environment on both Linux and Windows is required.
- Desired experience includes technologies like Virtual Platforms, SystemC/QEMU models, Emulation platforms, Hw/Sw co-design, and Performance analysis.
- Familiarity with hardware languages like VHDL, Verilog and System Verilog for simulation using tools like Modelsim, VCS, Questa Sim is highly desired.
Awarding Requirements:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
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