micro1

CUDA Engineering Expert

Remote remote Entry $60 - $100
remote Technology & IT Salary listed Curated
Sign in to apply Free account — we bring you straight back to this role.

About the role

Role Title: CUDA Engineering Expert
Role Type: Contractor
Location: Remote
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—clear documentation and technical reporting are essential.

Experience collaborating in remote, cross-disciplinary project settings is a plus.

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT API integration Data Analysis Remote Collaboration Writing remote

Likely questions

  1. Tell us about work you have done that is close to the CUDA Engineering Expert role.
  2. How would you approach your first 30 days at micro1?
  3. Which of API integration, Data Analysis and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the CUDA Engineering Expert role because I can bring practical experience in API integration, Data Analysis and Remote Collaboration, learn the team quickly, and contribute to the outcomes micro1 needs from this hire.

Related jobs.

More roles from this company or category.