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C++ Developer with CUDA Programming
ACG World
C++ Developer with CUDA Programming
ACG World's logo

C++ Developer with CUDA Programming

at ACG World

4 - 5 yrs
₹8L - ₹13L / yr
Mumbai
Skills
skill iconC++
CUDA
Nsight

Dear Candidate,

 

We are urgently hiring for C++ Developer for Kandivali Mumbai.

Designation:

C++ Developer

Experience:

4-6 yrs

Location

: Kandivali ,Mumbai

Work

Mode: Work from Office

Job

Type : 1 year Contract

 

Job Description: Developer.

A.    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.

 

Regards,

Minakshi Soni

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