CUDA Engineering Expert
Position:

CUDA Engineering Expert
Type:

Hourly Contract
Compensation:

$80–$100/hour
Location:

Remote
About the Opportunity
This chance is for experienced

GPU Performance Engineers, CUDA Developers, and GPU Kernel Optimization Specialists

interested in contributing to advanced AI research and evaluation projects.
The role focuses on analyzing, optimizing, and evaluating GPU kernels across modern hardware architectures. You'll leverage your expertise in

CUDA, C++17, GPU profiling, and performance optimization

to improve computational efficiency and help advance next-generation AI systems.
This is a contract-based opportunity for professionals passionate about maximizing GPU performance and hardware utilization.
Responsibilities
Analyze and optimize GPU kernels for

performance, efficiency, scalability, and hardware utilization .
Use profiler metrics such as

L2 cache hit rate, occupancy, memory throughput, warp efficiency, and related performance indicators

to guide optimization decisions.




Identify bottlenecks in GPU kernel implementations and recommend performance improvements.
Develop, review, and optimize

C++17, Python, and GPU programming code .
Apply expertise in

CUDA, HIP, shader programming, or related GPU programming frameworks

to improve kernel performance.
Document optimization methodologies, profiling results, and engineering decisions with clear technical reasoning.
Collaborate with engineering teams to evaluate and improve AI-related GPU workloads.
Required Qualifications
Availability to work

at least 20 hours per week .
Strong proficiency in

C++ (through C++17) .
Working knowledge of

Python

and

Git .
Professional experience with at least one GPU programming framework, including

CUDA, HIP, Slang, HLSL, GLSL, or similar technologies .
1+ year of professional or graduate-level research experience

working with GPU programming or optimization.
Strong understanding of GPU architecture and performance profiling te

📌 Embedded Hardware Engineer (Mumbai)
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