Top 2 Software developer entry Jobs in Norwich Ny

CUDA Engineering Expert - AI Trainer
micro1 —United States
- $60 - $100 an hour
- Contract
- Remote
- No experience needed
- Mid-level
- Analysis skills
- Flexible schedule
4d

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CUDA Engineering Expert - AI Trainer
micro1 —United States
Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware.
$60 - $100 an hour
4d

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CUDA Engineering Expert - AI Trainer

micro1 -
United States

Apply Now

Job Details

Contract
$60 - $100 an hour
4 days ago

Benefits

Flexible schedule

Qualifications

AI models
Teamwork
Collaboration
Analysis skills
Arrays (data structure)
Stakeholder management

Full Job Description

Job Title

CUDA Engineering Expert - AI Trainer

Job Type

Contractor

Compensation Structure

Compensation is hourly. The hourly rate will be determined based on experience, qualifications, and project requirements.

Location

Remote

Job Summary

micro1 is engaging CUDA Engineering Experts to contribute to a cutting-edge customer project focused on GPU kernel optimization in collaboration with a leading AI lab. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required—your domain knowledge is what matters.

Scope of Work

Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware.
Collaborate with project stakeholders to assess and identify kernel bottlenecks, proposing targeted optimization strategies.
Refactor C++ and CUDA codebases for improved maintainability, efficiency, and adaptability across diverse GPU architectures.
Implement shader logic and graphics workflows using GLSL and WebGPU, ensuring seamless integration with existing pipelines.
Document key findings, optimization steps, and performance improvements with clear, actionable reports and technical communication.
Contribute expertise to design discussions, supporting the evaluation of new GPU-based approaches and performance metrics.
Stay informed on advancements in GPU programming and share relevant insights to enhance project outcomes.

Preferred Qualifications

Demonstrated expertise in CUDA programming, with a strong track record of performance-tuning GPU kernels.
Advanced C++ development skills, particularly in high-performance computing environments.
Hands-on experience with GLSL and WebGPU for graphics and compute shader development.
Proficiency using GPU profilers such as Nsight, Visual Profiler, or similar tools for guided optimization.
Strong analytical abilities to evaluate and reason about kernel performance across hardware generations.
Excellent written and verbal communication skills, with clear documentation and technical reporting capabilities.
Experience collaborating in remote, cross-disciplinary project settings is a plus.

Job Type: Contract

Pay: $60.00 - $100.00 per hour

Benefits:

Flexible schedule

Work Location: Remote

Apply Now

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