
Efficient Runtime Systems Specialist
1 week ago
We're seeking an experienced Runtime Engineer to develop and optimize software systems for our silicon platform. This role focuses on building efficient runtime systems that maximize chip performance while ensuring reliability and ease of use.
The ideal candidate will have strong skills in designing and implementing runtime systems for AI accelerator execution and memory management, developing and optimizing runtime libraries for high-performance tensor operations, creating efficient memory allocation and scheduling algorithms for ML workloads, interfacing with hardware subsystems through PCIe interface for optimal data transfer, building and maintaining runtime profiling and debugging tools, working closely with the hardware team to optimize end-to-end performance, documenting runtime architecture and implementation strategies, and performing thorough testing and performance analysis of runtime components.
To be successful in this role, you'll need a solid foundation in computer science or electronics and communication, with at least 4 years of experience in systems programming with C/C++. You should also have a strong understanding of concurrent programming and multithreading, proficiency with debugging and profiling tools (gdb, valgrind, WinDbg, address sanitizer), experience with performance optimization and low-level system interfaces, and knowledge of memory management and scheduling algorithms.
Nice to have skills include experience with ML frameworks (TensorFlow, PyTorch) and their runtime systems, understanding of AI/ML workload characteristics, and background in driver development or hardware interfaces.
Required Skills and Qualifications:- Education: BTech/MTech in Computer Science or Electronics & Communication
- Experience: At least 4 years of experience in systems programming with C/C++
- Skills: Strong understanding of concurrent programming and multithreading, proficiency with debugging and profiling tools (gdb, valgrind, WinDbg, address sanitizer), experience with performance optimization and low-level system interfaces, and knowledge of memory management and scheduling algorithms
By joining our team, you'll have the opportunity to work on cutting-edge high-performance compute hardware, collaborate with global teams, and contribute to shaping the future of AI acceleration.
What We Offer:- Cutting-edge technology: Work on the latest advancements in high-performance compute hardware
- Collaborative environment: Join a global team of experts and innovators
- Fast-paced culture: Contribute to a dynamic and innovative work environment
- Professional growth: Develop your skills and expertise in a supportive and challenging environment
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