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Professional Cuda Jobs (NOW HIRING)

Jobtailor

Solutions Architect, AI and ML

California, MO · On-site

$130 - $180/hr

AWS, GCP, or Azure Professional Solution Architect Certification is a differentiator * Hands-on experience with NVIDIA GPUs and SDKs such as CUDA, RAPIDS, or Triton is a differentiator * System-level ...

BAE Systems

Eng Sr Prin II - SW

Merrimack, NH · On-site

$146K - $249K/yr

... professional software development * Expert-level proficiency in C++11 (or later) with a strong emphasis on performance optimization and parallel programming.** * Expert-level experience with CUDA ...

Nvidia

Senior Software Engineer - NVIDIA Warp

Santa Clara, CA · On-site

$143K - $189K/yr

Significant professional or academic research experience building, debugging, profiling, and optimizing performance-critical CUDA C++ software for NVIDIA GPUs, including diagnosing performance and ...

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Professional Cuda information

What is the difference between Professional Cuda vs Cuda Developer?

AspectProfessional CudaCuda Developer
Required CredentialsTypically requires a degree in Computer Science or related field, with certifications in CUDA programmingOften requires similar degrees and certifications, focusing on CUDA expertise
Work EnvironmentWorks in research labs, tech companies, or industries utilizing GPU computingWorks in software development teams, research, or hardware optimization projects
Industry UsageUsed across high-performance computing, AI, and scientific research sectorsCommonly employed in software development, gaming, and simulation industries

Both roles involve CUDA programming, but a Professional Cuda typically emphasizes advanced GPU computing skills in research or industry applications, while a Cuda Developer focuses on software development and optimization using CUDA technology. The roles often overlap, but the Professional Cuda may have a broader scope in high-performance computing projects.

Is professional Cuda in high demand?

Professional CUDA developers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, data science, and high-performance computing. Skills in parallel programming, CUDA toolkit, and GPU architecture are highly valued by employers across various industries.
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What are the most commonly searched types of Cuda jobs?

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States with the most job openings for Professional Cuda jobs include:

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Professional Cuda jobs near you
Infographic showing various Professional Cuda job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Software Validation Engineer - ASIC

QFocus Technologies LLC

Sunnyvale, CA • On-site

$120 - $170/hr

Other

Posted 3 days ago

New

Job description

We are seeking a versatile and independent C++ Software Engineer to join the AI Infrastructure Silicon Validation team. This role focuses on writing robust software to test, validate, and stress-test AI infrastructure platforms. You will use your strong Object-Oriented Programming (OOP) foundation to build validation applications, integrate with hardware vendor SDKs (including NVIDIA CUDA), and independently deliver reliable testing code.

Key Responsibilities
  • Write Validation Software: Design, implement, and maintain test applications in C++ to validate the performance and correctness of AI infrastructure.
  • SDK & API Integration: Successfully integrate and utilize third-party SDKs and low-level APIs, specifically including CUDA, to interact with compute hardware.
  • Apply Clean OOP Principles: Build reusable, modular, and easily maintainable validation frameworks using proper modern object-oriented design patterns.
  • Independent Execution: Take ownership of assigned validation features from technical requirements through to delivery, debugging, and documentation with minimal supervision.
  • Test & Debug: Identify software bugs, memory issues, and api integration edge cases in a Linux-based engineering environment.
Required Technical Skills
  • Strong C++ & OOP: Solid proficiency in core C++ (including modern standards like C++14/C++17) with a deep understanding of classes, inheritance, polymorphism, and memory management.
  • API/SDK Experience: Demonstrated ability to read documentation, pick up new technical SDKs quickly, and implement them—specifically CUDA APIs.
  • Proficiency with POSIX Multi-threading
  • Linux Environment: Comfortable developing, compiling (e.g., CMake/Make), and running applications in a standard Linux environment.
  • Independent Problem Solver: Proven track record of working autonomously to complete coding tasks, write clean test code and troubleshoot issues.
Desired Experience
  • Experience writing unit tests or automated validation suites.
  • Basic familiarity with multi-threaded programming or concurrent execution concepts.
  • Familiarity with Python for basic scripting or test automation wrappers.
  • 6+ years of hands-on experience working in complex (preferably) HW-SW projects with tight schedules.

QFocus Technologies LLC is an Equal Employment Opportunity employer.

We are a group of passionate and experienced technology professionals working together with a singular focus to delight our customers by delivering quantifiable value and becoming a natural extension of your team!

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