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60 Slang Ai Jobs Hiring Near You

Weekday AI

CUDA Engineering Expert

$80 - $100/hr

... AI lab. This opportunity is designed for freelancers with strong C++ skills, practical GPU ... Fluent in at least one GPU programming model, such as CUDA, HIP, Slang, HLSL, GLSL, or related ...

Helloslang

Backend Engineer

Manhattan, NY · On-site

$90 - $150/hr

You'll join Slang's Engineering team as a Software Engineer, contributing across our core product areas including telephony infrastructure, AI-powered conversation features, and application ...

OpenAI

Hardware Tools Engineer

San Francisco, CA · On-site

$225K - $445K/yr

About the Team OpenAI's Hardware organization develops AI-native silicon and system-level solutions ... Experience with Verilog tooling ecosystems (Yosys/RTLIL, Verilator, Slang) or writing tooling ...

OpenAI

Hardware Tools Engineer

Los Angeles, CA · On-site

$100 - $140/hr

The team is responsible for building the next generation of AI-native silicon while working closely ... Experience with Verilog tooling ecosystems (Yosys/RTLIL, Verilator, Slang) or writing tooling ...

New

aijoblist

Hardware Tools Engineer

San Francisco, CA · On-site

$225 - $445/hr

The team is responsible for building the next generation of AI-native silicon while working closely ... Experience with Verilog tooling ecosystems (Yosys/RTLIL, Verilator, Slang) or writing tooling ...

OpenAI

Hardware Tools Engineer

San Francisco, CA · On-site

$145K - $192K/yr

About the Team OpenAI's Hardware organization develops AI-native silicon and system-level solutions ... Experience with Verilog tooling ecosystems (Yosys/RTLIL, Verilator, Slang) or writing tooling ...

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Infographic showing various job openings at Slang Ai in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% Physical, and 67% Remote job distribution.

CUDA Engineering Expert

Weekday AI

Remote

$80 - $100/hr

Part-time

Re-posted 12 days ago

Job description

This role is for one of our clients
Compensation: $80-$100 per hourWe are seeking GPU kernel optimization experts to contribute to a project with a leading AI lab. This opportunity is designed for freelancers with strong C++ skills, practical GPU programming experience, and the ability to improve kernel performance using profiler-guided analysis. You'll help evaluate, optimize, and reason about GPU kernels across modern hardware environments. This is a contract-based opportunity for specialists who enjoy squeezing performance out of modern GPU architectures.
Requirements
Key Responsibilities
  • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization
  • Use profiler metrics such as L2 cache hit rate, L2 throughput, occupancy, and related signals to guide kernel improvements
  • Review GPU kernel implementations and identify bottlenecks without requiring extensive background in the underlying algorithms
  • Write, modify, and reason about C++17, Python, and GPU programming code
  • Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance outcomes
  • Document optimization decisions clearly, including when specific profiler metrics are or are not useful
Ideal Qualifications
  • Available to work at least 20 hrs/wk
  • Fluent in core C++ features through C++17
  • Working knowledge of Python and Git
  • Fluent in at least one GPU programming model, such as CUDA, HIP, Slang, HLSL, GLSL, or related kernel programming
  • At least 1 year of professional or graduate-level research experience working with GPUs
  • Strong understanding of GPU profiler performance metrics and how to use them to optimize kernels
  • Ability to optimize GPU kernels without needing deep prior context on every algorithm
  • Experience with CUDA, HIP, CUDA C++ Core Libraries, inline PTX assembly, or tensor core-level optimization is a plus
  • Experience optimizing kernels for NVIDIA Blackwell hardware is a plus
  • Familiarity with NSight Compute is a plus
  • Prior experience with GPU hardware organizations such as NVIDIA, AMD, or Qualcomm is a plus
  • Open-source contributions related to GPU kernel optimization are a plus
4. Application Process
  • Submit your resume or relevant technical background to get started
  • Qualified applicants may be asked to complete a brief technical assessment or submit additional information

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects can be extended, shortened, or concluded early depending on needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are weekly on Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

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