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About The Role

In this role, you will contribute to the design, development, and optimization of high-performance GPU-accelerated algorithms for advanced numerical methods and computer vision applications. You will work closely with domain experts and engineering teams to translate complex mathematical models into efficient, scalable, and vector-friendly solutions, moving ideas from Python prototypes to production-grade C++ implementations.

You will play an important role in improving application performance on modern NVIDIA GPU architectures, influencing technical decisions around CUDA kernel optimization, mixed-precision computing, task-based runtimes, and multi-GPU execution

Responsibilities

Design, implement, and tune high-performance CUDA kernels
Profile, benchmark, and iterate using Nsys, Nsight
Collaborate with domain scientists to translate mathematical models into vector-friendly algorithms
Prototype new approaches in Python and harden them in C++
Influence architecture decisions related to task-based runtimes,



mixed-precision arithmetic, and multi-GPU scheduling

Requirements

Strong hands-on experience with algorithmic design and optimization of numerical methods, with at least 12 months of commercial experience in this area
Solid understanding of design/developing/profiling CUDA kernel for modern architectures: Ampere and above, CUDA core C++ library: CUB, Thrust, etc
Experience with C++
Background in Computer Vision
Advanced knowledge in Microsoft Visual Studio

Empresa confidencial is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with Empresa confidencial.

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1at2tv

📌 Senior R&D Engineer (Colombia)
🏢 Sin nombre
📍 Colombia