Assistant Engineer

ACG World; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ACG World seeks an experienced Developer with strong C++ and CUDA expertise to lead our team in device integration and high-performance computing projects.

This hands-on leadership role combines technical excellence with mentoring, code reviews, and close collaboration with research teams to deliver robust software solutions.

Qualifications

• Proficient in modern C++ (C++11/14/17/20).
• Extensive CUDA programming experience.
• Knowledge of GPU memory hierarchy, shared memory, streams, warp-level ops.
• Strong parallel computing and multi-threading skills.
• Solid foundation in linear algebra, calculus, numerical methods.
• Experience with debugging/profiling tools like Nsight or CUDA Memcheck.

Responsibilities

• Develop and maintain high-performance C++/CUDA applications.
• Design and implement parallel GPU algorithms to accelerate workloads.
• Optimize CUDA kernels for performance and memory efficiency.
• Conduct code reviews to ensure coding standards and best practices.
• Mentor junior engineers and collaborate with software/research teams.
• Document designs, specifications, and user manuals.

Skills

C++

CUDA Programming

GPU Optimization

Parallel Computing

Mathematical/Analytical Skills

Debugging/Profiling Tools

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.