Description:
This role will involve enabling analysis on innovative technologies like State of the Art FPGAs and Virtual Prototypes to ensure automotive software runs best on Arm. The analysis and results generated will be used to drive the configurations and features in hardware along with contributing towards optimizing across software stack verticals. There is a lot of scope for growth in depth and breadth and a successful candidate would need to be versatile and eager to expand their knowledge and expertise.
Responsibilities
As a Performance Analysis Engineer, you will be responsible for
- Efficiently, and creatively drive and investigate performance of automotive software and use-cases.
- Perform workload characterization to identify performance bottlenecks and propose solutions.
- System level analysis of performance, CPU/GPU/memory/bandwidth utilization, power dissipation etc.
- Instrumenting real-world software workloads for real-world performance and efficiency measurements
- Developing tools and implementing workloads to push systems to their limits
- Writing up findings and presenting them with the LoB and engineering divisions.
Required Skills and Experience
- Experience in SoC Performance Modelling, and performance analysis in the semiconductor industry.
- Degree or equivalent experience in Computer Science, Electronics Engineering, Computer Architecture
- Understanding of general-purpose CPU microarchitecture, including knowledge of areas such as processor pipelines, caches, and memory hierarchy.
- Proficient in C/C++ for programming for large-scale software development
- Proficiency in Python and other scripting language skills.
- Excellent communication, and interpersonal skills with ability to convey effectively complicated solutions.
- Experience with Performance Analysis tools like perf, vTune, Streamline.
“Nice to have” skills and Experience
- Experience in Automotive Software development and use of Virtual Prototyping solutions.
- Understanding of workloads used for performance optimization
- Experience with Unix, scripting, and source control systems (e.g., Git, Subversion).
- Experience with pre-silicon platforms such as Models, RTL simulation, emulation or FPGA.
- Data analysis and visualisation, for example Jupyter Notebooks
- Experience with Linux or Android based development platforms
- Experience with any Graphics APIs and or Compute APIs (OpenGL, Vulkan etc. )
- Experience in Real-Time software development and testing
- Experience in ML frameworks and optimizations