GPU Programming Software Engineer | Remote - Contract
Design and optimize GPU kernels for LLM training using CUDA or WebGPU
Design, implement, and optimize GPU-based software solutions using CUDA, WebGPU, or GLSL to train LLMs. Profile and fine-tune GPU kernels and shaders for maximum performance and efficiency. Develop host-side logic and integrations in C++. Compensation is output-based, with payment per task meeting project specifications.
Why This Role?
Compensation is output-based; experts are paid per task that meets the project specifications
Key Responsibilities
- Design GPU-based software solutions using CUDA, WebGPU, or GLSL
- Implement and optimize GPU kernels and shaders for performance and efficiency
- Profile GPU kernels and shaders to identify performance bottlenecks
- Develop host-side logic and integrations in C++
- Fine-tune GPU tasks for LLM training workloads
Requirements
- Expertise in CUDA programming
- Experience with WebGPU or GLSL
- Proficiency in C++ for host-side development
- Background in GPU programming for ML acceleration, graphics, or HPC
- Advanced experience with GPU programming languages that run on NVIDIA chips
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from HimalayasShow more
Original description from Himalayas
Role Title: GPU Programmer Software Engineer Role Type: Contractor Location: Remote In this role, you will apply your expertise as a GPU programmer to design GPU related tasks to train LLMs, focusing on performance and architecture. Role Title: GPU Programmer Software Engineer Role Type: Contractor Location: Remote In this role, you will apply your expertise as a GPU programmer to design GPU related tasks to train LLMs, focusing on performance and architecture. Required Skills CUDA WebGPU GLSL C++ Scope of Work Design, implement, and optimize GPU-based software solutions using CUDA, WebGPU or GLSL. Profile and fine-tune GPU kernels and shaders for maximum performance and efficiency. Develop host-side logic and integrations in C++ Preferred Qualifications Advanced experience with any GPU programming language that can run on NVIDIA chips. Background in either Graphics Programming, ML acceleration, Scientific Computing, High Performance Computing, or any other domain using GPU technologies. Proficiency in C++ Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding. Originally posted on Himalayas
Salary Context
Similar Engineering roles on LokerDollar pay around $165k/yr (range $1k–1000k/yr, n=525 active listings).
Hiring at Xperteez Technology
Xperteez Technology has 47 other active roles on LokerDollar and has been hiring here since Oct 8, 2026 — across Engineering, Finance & Accounting, Data & Analytics.
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Market context
- ESTIMATEEstimated pay is 3% above the role median of $165,000/year (n=525 pay-disclosing listings).
- VERIFIEDXperteez Technology: 48 postings in the last 3 months, 48 all-time on LokerDollar.
- VERIFIEDCompany first seen Oct 8, 2026.
- VERIFIEDThis listing first seen Oct 8, 2026.
- VERIFIEDLast verified live Oct 8, 2026.
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Frequently asked questions
- Is GPU Programming Software Engineer | Remote - Contract at Xperteez Technology a remote job?
- Yes. GPU Programming Software Engineer | Remote - Contract at Xperteez Technology is a fully remote role open to candidates worldwide.
- What type of employment is GPU Programming Software Engineer | Remote - Contract at Xperteez Technology?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Xperteez Technology.
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