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Cuda Gpu Jobs (NOW HIRING)

Senior Systems Software Engineer, CUDA GPU Profiler

OR · On-site +1

$122K - $161K/yr

... CUDA experts. Your contributions will be key in crafting the future of our profiling tools and helping engineers harness the full power of GPU technology for tomorrow's breakthroughs. What you'll be ...

This puts CUDA/GPU performance engineering at the centre of how Fuse scales its compute infrastructure. Responsibilities * Design, implement, and optimise CUDA kernels for high-throughput, latency ...

GPU Kernel Engineer

San Francisco, CA · On-site

$200 - $250/hr

About the role We're looking for a GPU kernel engineer with deep, low-level CUDA expertise to make our training and inference faster and more efficient. You'll write and optimize custom kernels ...

Profile and tune GPU applications for performance, memory efficiency, and scalability. * Work with CPU-GPU parallel programming models and optimize data transfer. * Leverage NVIDIA libraries (CUDA ...

CUDA Developer - Remote

Seattle, WA · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

CUDA Developer - Remote

Boston, MA · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

CUDA Developer - Remote

Phoenix, AZ · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

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How much do cuda gpu jobs pay per year?

As of Sep 8, 2026, the average yearly pay for cuda gpu in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is the difference between Cuda Gpu vs Data Scientist?

AspectCuda GpuData Scientist
Required CredentialsKnowledge of GPU programming, CUDA toolkit, C/C++Statistics, programming (Python, R), data analysis
Work EnvironmentTech companies, research labs, hardware developmentBusiness, tech, finance, healthcare sectors
Industry UsageHigh-performance computing, AI, machine learningData analysis, predictive modeling, data visualization

While Cuda Gpu specialists focus on GPU programming and hardware optimization, Data Scientists analyze data to extract insights. Both roles require technical skills but serve different purposes within technology and data-driven industries.

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Infographic showing various Cuda Gpu job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 95% Full Time, 1% Part Time, and 2% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.

CUDA GPU DSP Engineer for Real-Time 5G on Jetson

Mclean, VA • On-site

Digital Global Systems Inc
11 - 50 employees

$100 - $125/hr

Other

Posted 7 days ago


Job description

Contract (3-6 months, P2 Priority – Aerial Partnership)

Job Description

Type: Contractor (3–6 months, P2 Priority – Aerial partnership)

The CUDA / GPU DSP Engineer develops high-performance GPU kernels for real-time digital signal processing in the CLEARSITE™ system. The role focuses on telecom physical layer operations (PSS/SSS detection, PDSCH decoding) on NVIDIA Jetson AGX Orin. This is GPU optimization for signal processing, not ML model work.

Key Responsibilities

  • Develop CUDA kernels for PSS/SSS detection and PDSCH decoding
  • Integrate with NVIDIA cuRAN libraries and optimize GPU-accelerated pipelines
  • Migrate x86 DSP pipelines to ARM + CUDA co-processing
  • Implement FFT, matched filtering, and channel estimation routines
  • Benchmark and validate kernel performance against latency and throughput targets
  • Document kernels, optimization decisions, and integration points

Required Qualifications

  • 3+ years writing production CUDA kernels
  • Telecom physical layer experience (LTE / 5G NR)
  • C/C++ and CUDA C proficiency
  • GPU memory management, occupancy, and warp-level programming

Preferred Qualifications

  • NVIDIA Jetson platform (JetPack SDK, ARM+GPU co-optimization)
  • 5G NR standards familiarity (3GPP 38.211, 38.212)
  • cuFFT, cuBLAS, and GPU signal processing primitives
  • PPS/GPS synchronized timing
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Digital Global Systems is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. We are committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation during the application or interview process, please contact DGS.

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