C++ Developer

Position : C++ Developer

NOTE :- Mandatory Skills- Candidate must have "end-to-end experience in C++"

NOTE:- Only local candidates of Mumbai is acceptable, Please, don&apost apply candidates from other state

Contract-to-hire position

1. No of position

   1

2. Duration 1 year contractual position

3. Budget 18 LPA
4. Experience Range 4 to 5 years
5. Notice Period

   Immediate, candidate should join within 10 days

6. Location Kandivali, Mumbai (Only local candidates of Mumbai is acceptable)
7. Work Mode- Work from Office

Interview Process:

• 1st Round- Technical round
• 2nd Round - Technical round
• HR Round

Candidates who are all interested in contract position only apply

JD:

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.