Software Developer (C++)

ACG; Mumbai; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

ACG is seeking an experienced Developer in Mumbai with a strong background in C++ CUDA programming and Linux. This hands-on leadership role combines technical depth with people management to deliver high-performance software for device integration and HPC tasks.

You will design parallel GPU algorithms, optimize CUDA kernels, review code, and guide junior engineers while collaborating with research teams to produce robust, well-documented solutions.

Qualifications

• Proficient in modern C++ (C++11/14/17/20).
• Extensive CUDA programming experience and debugging skills.
• Strong understanding of GPU memory hierarchy and parallel execution models.
• Solid grasp of parallel algorithms and multi-threaded programming.
• Strong mathematical and analytical abilities (linear algebra, numerical methods).

Responsibilities

• Develop and maintain high-performance applications using C++ and CUDA.
• Design and implement parallel GPU algorithms to accelerate workloads.
• Optimize CUDA kernels for performance, memory efficiency, and scalability.
• Identify bottlenecks and propose robust optimization strategies.
• Review code, write tests, and ensure high-quality software delivery.
• Collaborate with software engineering and research teams and mentor juniors.

Skills

C++ proficiency

CUDA programming

GPU optimization

Parallel computing

Mathematical/analytical skills

Tools

Nsight

CUDA Memcheck

Profiling tools

Job description

Job Description: Developer.

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.