Tecaky

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.