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:

â Implement and optimize machine learning, computer vision, and numeric libraries for

target hardware architectures, including CPUs, GPUs, DSPs, and other accelerators.

â Work closely with software and hardware engineers to ensure optimal performance on

target platforms.

â Implement low-level optimizations, including algorithmic modifications, parallelization,

vectorization, and memory access optimizations, to fully leverage the capabilities of the

target hardware architectures.

â Work with customers to understand their requirements and implement libraries to meet

their needs.

â Develop performance benchmarks and conduct performance analysis to ensure the

optimized libraries meet the required performance targets.





â Stay current with the latest advancements in machine learning, computer vision, and

high-performance computing.

Qualifications:

â BTech/BE/MTech/ME/MS/PhD degree in CSE/IT/ECE

â > 4 years of experience working in Algorithm Development, Porting, Optimization &

Testing

â Proficient in programming languages such as C/C++, CUDA, OpenCL, or other relevant

languages for hardware optimization.

â Hands-on experience with hardware architectures, including CPUs, GPUs, DSPs, and

accelerators, and familiarity with their programming models and optimization techniques.

â Knowledge of parallel computing, SIMD instructions, memory hierarchies, and cache

optimization techniques.

â Experience with performance analysis tools and methodologies for profiling and

optimization.

â Knowledge of deep learning frameworks and techniques is good to have

â Robust problem-solving skills and ability to wo

📌 Algorithms & optimization Engineer (Chennai)
🏢 MulticoreWare
📍 Chennai