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We are seeking a talented engineer to implement and optimize machine learning, computer vision,
and numeric libraries for target hardware architecture, including CPUs, GPUs, DSPs, and other
accelerators. Your expertise will be instrumental in enabling efficient and high-performance
execution of algorithms on these hardware platforms.
Key Responsibilities:
ā Implement and optimize machine learning, computer vision, and numeric libraries for
target hardware architectures, including CPUs, GPUs, DSPs, and other accelerators.
ā Work closely with software and hardware engineers to ensure optimal performance on
target platforms.
ā Implement low-level optimizations, including algorithmic modifications, parallelization,
vectorization, and memory access optimizations, to fully leverage the capabilities of the
target hardware architectures.
ā Work with customers to understand their requirements and implement libraries to meet
their needs.
ā Develop performance benchmarks and conduct performance analysis to ensure the
optimized libraries meet the required performance targets.
ā Stay current with the latest advancements in machine learning, computer vision, and
high-performance computing.
Qualifications:
ā BTech/BE/MTech/ME/MS/PhD degree in CSE/IT/ECE
ā > 4 years of experience working in Algorithm Development, Porting, Optimization &
Testing
ā Proficient in programming languages such as C/C++, CUDA, OpenCL, or other relevant
languages for hardware optimization.
ā Hands-on experience with hardware architectures, including CPUs, GPUs, DSPs, and
accelerators, and familiarity with their programming models and optimization techniques.
ā Knowledge of parallel computing, SIMD instructions, memory hierarchies, and cache
optimization techniques.
ā Experience with performance analysis tools and methodologies for profiling and
optimization.
ā Knowledge of deep learning frameworks and techniques is good to have
ā Strong problem-solving skills and ability to work independently or within a team.
Learn more about this Employer on their Career Site
