Assistant Engineer

ACG World; Mumbai; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

ACG World in Mumbai seeks an experienced Developer with strong C++, CUDA, and Linux expertise to lead our development team on device integration and high-performance computing projects. This is a hands-on leadership role combining technical depth with team guidance.

You will optimize CUDA kernels, design parallel algorithms, and ensure code quality through reviews, tests, and thorough documentation, while collaborating with research teams to deliver robust software products.

Qualifications

• Proficient in modern C++ (C++11/14/17/20).
• Extensive CUDA development, debugging, and optimization experience.
• Strong knowledge of GPU memory hierarchy, shared memory, streams, and warp-level operations.
• Solid understanding of parallel algorithms and multi-threaded programming.
• Strong foundation in mathematics, linear algebra, calculus, and numerical methods.
• Experience with debugging/profiling tools like Nsight or CUDA Memcheck.

Responsibilities

• Develop and maintain high-performance applications using C++ and CUDA.
• Design and implement parallel algorithms for GPUs to accelerate workloads.
• Optimize CUDA kernels for performance, scalability, and memory efficiency.
• Conduct code reviews to ensure coding standards and best practices.
• Develop and execute test cases to validate functionality and performance.
• Collaborate with software engineering and research teams; mentor junior members.

Skills

C++

CUDA Programming

GPU Optimization

Parallel Computing

Math & Analytics

Multi-threading

Tools

Nsight

CUDA Memcheck

Job description

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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.