# CUDA / GPU Performance Engineer (Kernel Optimization)

> Gramian Consulting Group · India (Remote) · Contract · Posted 2026-08-11

**Salary:** USD 60–100

**Workplace:** remote

**Department:** One

## Description

**About Us**

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

**Role Overview**

We are looking for experienced **CUDA and GPU performance engineers** to analyze, profile, and optimize high-performance kernels and supporting C++ code. The role combines **CUDA optimization, GPU profiling, C++, shader development, and performance analysis** across different GPU architectures. No prior AI experience is required; strong systems and GPU engineering expertise is the key requirement.

**CONTRACT: Freelance contractor, paid per completed task**

**COMMITMENT: Flexible, based on available tasks and project demand**

**LOCATIONS: Fully remote - GLOBAL**

**PROCESS: Application review, technical assessment, and onboarding**

**HOURLY RATE: $60-$100/h**

**Responsibilities**

-   Analyze and optimize **CUDA kernels** for throughput, latency, and hardware utilization.
-   Profile GPU workloads to identify compute, memory, synchronization, and execution bottlenecks.
-   Develop and implement targeted kernel optimization strategies.
-   Refactor **C++ and CUDA codebases** for performance, maintainability, and portability.
-   Evaluate kernel behavior across different GPU architectures and hardware generations.
-   Develop or adapt shader and compute workflows using **GLSL and WebGPU**.
-   Use GPU profiling tools to validate improvements and compare performance.
-   Document optimization approaches, benchmarks, findings, and performance gains.
-   Contribute technical input to GPU architecture and performance-design discussions.
-   Evaluate emerging GPU programming techniques and apply relevant improvements.

## Requirements

-   Strong professional experience with **CUDA programming and GPU kernel optimization**.
-   Advanced proficiency in **C++**, ideally in high-performance or systems programming environments.
-   Proven experience profiling and tuning GPU workloads for performance.
-   Hands-on experience with GPU profiling tools such as **NVIDIA Nsight** or comparable tools.
-   Strong understanding of GPU architecture, memory hierarchy, parallel execution, and synchronization.
-   Experience analyzing performance across different GPU hardware generations.
-   Hands-on experience with **GLSL and/or WebGPU** for shader or compute development.
-   Ability to document performance findings and technical decisions clearly in English.

## Apply

[Apply at Gramian Consulting Group](https://apply.workable.com/gramian/j/E30F3EF080/apply)

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