Senior Software Engineer

Overview

Sofware System Engineer – NVIDIA CUDA & Kernel Development

Company: - US Based Tech Startup

Location: Bangalore, India
Experience: 6 + Years

Looking for Early Joiner

Job Summary:

We are looking for an experienced System Engineer with deep expertise in C programming, Linux kernel internals, and the NVIDIA CUDA stack. The ideal candidate will have hands-on experience working with GPU kernel drivers, CUDA runtime, memory management, and CUDA kernel task execution frameworks. This is a highly technical role requiring a solid understanding of GPU architecture and low-level system programming.

Key Responsibilities:

• Develop and integrate system-level features around NVIDIA GPU drivers and the CUDA stack.
• Work closely with Linux kernel modules, device drivers, and user-space libraries.
• Design and debug GPU memory access, allocation, and CUDA Unified Memory implementation.
• Optimize GPU compute workloads, kernel launches, and task scheduling.
• Collaborate with cross-functional teams to support system stability and performance tuning.

Required Skills & Experience:

• 6+ years of hands-on experience in NVIDIA GPU development and CUDA programming.
• Strong C programming skills, especially in system-level or kernel-space development.
• Solid understanding of:
• CUDA driver/runtime API
• GPU kernel drivers
• CUDA memory access patterns & optimization
• Unified Memory framework
• Kernel task execution models
• Good debugging skills across user and kernel space (gdb, dmesg, trace tools).
• Exposure to performance benchmarking and profiling tools (e.g., nvprof, Nsight).

Nice to Have:

• Experience with AI/ML workloads, HPC applications, or real-time systems.
• Contributions to open-source GPU or Linux kernel projects.
• Familiarity with other GPU platforms like AMD ROCm.

Job Type: Full-time

Pay: ₹1,686,349.11 - ₹3,095,710.16 per year

Ability to commute/relocate:

• Bangalore, Karnataka: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Education:

• Bachelor's (Preferred)

Experience:

• Systems engineering: 6 years (Preferred)
• Software development: 6 years (Preferred)
• NVIDIA CUDA: 2 years (Preferred)
• C programming: 5 years (Preferred)
• Linux kernel internals: 3 years (Preferred)
• GPU architecture : 3 years (Preferred)
• low-level system programming.: 5 years (Preferred)

Work Location: In person