GPU Kernel Engineer
Wipro
- Location
- Redmond, USA-WA, USA, 84652<br/>
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 906 approvals (FY2023)
- Posted
- 2d ago
Skills
About this role
Job Description
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Job Title
GPU Kernel Engineer
City
Redmond
State/Province
Washington
Posting Start Date
8/6/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Job Role: GPU-Kernel Engineer Primary Skills : GPU, Kernel development, PyTorch, Triton frameworks, AI/ML Model, Python, C++ programming, CUDA Overview: We are seeking expert-level GPU Software Engineers to support a high-visibility platform initiative within the Maya program, focused on building software tooling on top of a custom compiler and SDK. The role involves developing, optimizing, and porting GPU kernels and AI workloads to a specialized hardware platform. ͏Job Description
Core Technical Skills (Must-Have) Programming & Frameworks
Strong proficiency in Python Expertise in C/C++ for systems-level programming Hands-on experience with PyTorch Experience with Triton (kernel development and Triton language)
GPU & Systems Expertise
Mandatory experience in GPU kernel development Strong understanding of GPU architecture and performance optimization techniques Experience with compiler optimizations and runtime execution models Familiarity with custom SDKs and hardware abstraction layers
Mandatory Skills: Embedded and System Software
. Experience: 5-8 Years
. The expected compensation for