Assistant Engineer

Job Objective
We are seeking an experienced Developer with a strong background in C++, CUDA programming, and Linux to guide our development team in building cutting-edge solutions for device integration and high-performance computing tasks. This is a hands-on leadership position that combines technical expertise with team management skills to deliver high-quality software products.
Primary Responsibilities
Software Development:
Develop and maintain high-performance applications using C++ and CUDA.
Design and implement parallel algorithms for GPUs to accelerate computational workloads.
Performance Optimization
Optimize CUDA kernels for performance, scalability, and memory efficiency.
Analyze performance bottlenecks and propose innovative solutions.
Code Review And Testing
Conduct code reviews to ensure adherence to coding standards and best practices.
Develop and execute test cases to validate functionality and performance.
Collaboration
Work closely with the software engineering and research teams to understand requirements and deliver robust solutions.
Provide technical guidance and mentoring to junior team members when necessary.
Documentation
Write and maintain technical documentation, including design specifications and user manuals.
Required Skills
C++: Strong proficiency in modern C++ (C++11/14/17/20).
CUDA Programming: Extensive experience in developing, debugging, and optimizing CUDA applications.
GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and warp-level operations in CUDA.
Parallel Computing: Solid understanding of parallel algorithms and multi-threaded programming.
Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and numerical methods.
Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar.

Work arrangement
No