C++ Developer - 4 to 7 Years - Mumbai - 1 Month Joiners

KSmart Staffing Solutions; Mumbai; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

KSmart Staffing Solutions in Mumbai is seeking a seasoned C++ Developer with deep CUDA experience to lead high-performance software projects in device integration and HPC. You will design, optimize, and review CUDA kernels, collaborate with research teams, and mentor juniors.

The role requires mastery of modern C++ standards (C11 to C20), Linux environments, and profiling tools such as Nsight. Immediate joiners preferred; you will join our Mumbai office and contribute to mission-critical

Qualifications

• Proficiency in modern C++ (C11–C20) and CUDA development.
• Experience optimizing CUDA kernels and memory usage.
• Strong understanding of parallel algorithms and multithreading.

Responsibilities

• Immediate joiners only; join within 15 days.
• Work from office in Mumbai.
• Develop high-performance C++/CUDA applications.
• Implement parallel GPU algorithms for speedups.
• Optimize CUDA kernels for performance and memory use.
• Identify bottlenecks and propose improvements.
• Review code for quality and standards.
• Create tests and validate functionality and performance.
• Collaborate with engineering/research teams on requirements.
• Mentor junior developers and provide technical guidance.

Skills

C++

CUDA

Linux

Nsight

CUDA Memcheck

Parallel algorithms

Multithreading

Linear algebra

Calculus

Numerical methods

Job description

C++ Developer - 4 to 7 Years - Mumbai - 1 Month Joiners

Job Openings C++ Developer - 4 to 7 Years - Mumbai - 1 Month Joiners

About the job C++ Developer - 4 to 7 Years - Mumbai - 1 Month Joiners

Job Brief

We are looking for a seasoned Developer with deep expertise in C++, CUDA programming, and Linux environments to provide technical leadership and drive the development of advanced solutions in device integration and high-performance computing.

Responsibilities

• Immediate Joiners only, candidate should join within 15 days
• Work Mode - Work from Office
• Develop high-performance applications using C++ and CUDA
• Implement parallel GPU algorithms to speed up computations.
• Optimize CUDA kernels for speed, scalability, and memory use.
• Identify bottlenecks and suggest performance improvements.
• Review code for quality and adherence to standards.
• Create and run tests to validate functionality and performance.
• Collaborate with engineering and research teams on requirements.
• Mentor junior developers and offer technical guidance.
• Write and update design specs and user documentation.

Requirements

• Skilled in modern C++ standards including C11, C14, C17, and C20
• Experienced in building, debugging, and optimizing CUDA applications
• Familiar with CUDA memory hierarchy, shared memory, streams, and warp-level operations.
• Strong grasp of parallel algorithms and multi-threaded programming.
• Solid foundation in linear algebra, calculus, and numerical methods.
• Proficient with tools like Nsight, CUDA Memcheck, and other profiling utilities