Senior Developer – C++ / CUDA (GPU Computing)

1️⃣ Basic Information

Job Title:

Senior Developer – C++ / CUDA (GPU Computing)

Location:

On-site

Work Type:

On-site / Hybrid / Remote (select as per requirement)

2️⃣ Job Requirements

Required Skills

• C++ Programming (C++11 / C++14 / C++17 / C++20)
• CUDA Programming
• GPU Computing & Optimization
• Parallel Computing
• Linux OS
• Multithreading & Concurrency
• Performance Optimization

Preferred Skills

• CUDA Kernel Optimization
• GPU Memory Management
• Nsight / CUDA Profiling Tools
• Numerical Computing
• High Performance Computing (HPC)
• Algorithm Design

Nice-to-Have Skills

• Device Integration
• Scientific Computing
• OpenMP / MPI
• Python for tooling or scripting

Total Experience (In Years)

• Minimum: 5
• Maximum: 10

Educational Qualification

• B.E / B.Tech / M.Tech in Computer Science, Electronics, or related field

Language Requirements

• English (Mandatory)

Age Range

• 22 – 45

3️⃣ Job Terms & Compensation

Employment Type:

Full-Time

Category:

IT / Software Development

Currency:

INR (₹)

Salary Range:

• Minimum: ₹15,00,000
• Maximum: ₹18,00,000

Number of Openings:

1

Shift Timings:

General Shift

Payment Frequency:

Yearly

Hiring Need:

Immediate

4️⃣ Job Description & Publishing

Job Description

We are seeking an experienced Developer with a strong background in C++, CUDA programming, and Linux to lead and contribute to the development of high-performance software solutions for device integration and computational workloads.

This is a hands-on technical role combining deep programming expertise with performance optimization and collaboration across engineering and research teams.

Key Responsibilities

Software Development

• Develop and maintain high-performance applications using C++ and CUDA
• Design and implement GPU-based parallel algorithms

Performance Optimization

• Optimize CUDA kernels for scalability, speed, and memory efficiency
• Identify and resolve performance bottlenecks

Code Review & Testing

• Conduct code reviews to ensure best practices
• Create and execute test cases for performance and correctness

Collaboration & Mentorship

• Work closely with engineering and research teams
• Provide technical guidance to junior developers

Documentation

• Prepare and maintain technical documentation, design specs, and user guides

Technical Expertise Required

• Strong proficiency in modern C++
• Advanced CUDA programming and GPU optimization
• Understanding of CUDA memory hierarchy and parallel computing
• Strong mathematical and analytical skills
• Experience with profiling and debugging tools (Nsight, CUDA Memcheck)