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.
No of position – 2
Duration – 1 year contractual position (candidate will be on Hiring Panda Payroll)
Experience Range – 4 to 5 years
Notice Period – Immediate, candidate should join within 7 days
Location – Kandivali, Mumbai (Only local candidates of Mumbai is acceptable)
Work Mode- Work from Office
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.
Follow Cutshort