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Cuda Developer Jobs in Texas (NOW HIRING)

NVIDIA

Senior AI and ML HPC Cluster Engineer

Austin, TX · On-site

$103K - $142K/yr

Preferred : • Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking • Experience with Machine Learning and Deep Learning concepts, algorithms and models • Familiarity with ...

NVIDIA

Senior HPC Cluster Engineer

Austin, TX · On-site

$103K - $142K/yr

Preferred : • Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking. • Experience supporting EDA workloads and tools. • Familiarity with High-Speed Networking pertaining ...

NVIDIA

Principal Architect, AI Networking

Austin, TX · On-site

Preferred : • Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements. • CUDA programming and NVIDIA GPU architecture expertise. • Proved ...

Spectral MD Inc

Software Engineer

Dallas, TX · On-site

Coordinate CUDA ↔ OpenGL interoperability for real-time visualization Required Qualifications ... Experience with multi-threaded programming and async execution models * Experience with 3D point ...

Spectral MD

Software Engineer

Dallas, TX

Coordinate CUDA OpenGL interoperability for real-time visualization Required Qualifications * Solid understanding of 3D math (matrices, vectors, quaternions, transformations), Graphics pipelines, GPU ...

NVIDIA

Senior Deep Learning Compiler Engineer - XLA

Austin, TX · On-site

$103K - $142K/yr

Preferred : • CUDA or OpenCL programming experience is desired but not required. • Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning ...

Apple

Software Engineer - Applications

Austin, TX

Get all the features they need, infrastructure and DevOps engineers make sure the platform can ... Horovod, DeepSpeed, Distributed Data Parallel; leverage CUDA programming and JAX for computation ...

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Cuda Developer information

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$44.7K

$104.2K

$154.7K

How much do cuda developer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for cuda developer in Texas is $104,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $121,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Cuda Developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda Developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What is a Cuda Developer job?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

What are the most commonly searched types of Cuda Developer jobs in Texas? The most popular types of Cuda Developer jobs in Texas are:
What are popular job titles related to Cuda Developer jobs in Texas? For Cuda Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Cuda Developer jobs in Texas look for? The top searched job categories for Cuda Developer jobs in Texas are:
What cities in Texas are hiring for Cuda Developer jobs? Cities in Texas with the most Cuda Developer job openings:
Cuda Developer jobs near you
Infographic showing various Cuda Developer job openings in Texas as of June 2026, with employment types broken down into 83% Full Time, 3% Part Time, 1% Temporary, and 13% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $104,201 per year, or $50.1 per hour.
DevOps Engineer / Platform Engineer-Exp must 11+yrs -Irving,TX

DevOps Engineer / Platform Engineer-Exp must 11+yrs -Irving,TX

SSTech LLC

Irving, TX • Hybrid

$50.75 - $69.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

W2 position with Verizon 

Location: hybrid role – 4 days onsite @ Irving, TX – ( No – CPT, OPT, H1 transfer visa please)

Duration: Long-term contract
Title: DevOps Engineer / Platform Engineer

Required:

11+ years of IT experience.
Strong Linux fundamentals — systemd, networking, file permissions, process supervision
Container runtime experience: Docker or Podman (rootless Podman a strong plus)
Python at the "I can read and modify a Flask app" level — you don''t need to architect it, but you need to debug it
Comfort with nginx: reverse proxy configuration, subpath routing, header handling
Experience owning a deploy pipeline in a non-trivial environment (not just git push)
Clear written communication — your runbooks will be read by analysts, not engineers.
 

Strong plus:

systemd user services (not system-level — rootless, --user mode)
BigQuery or any cloud data warehouse familiarity
GPU infrastructure experience (CUDA, NVIDIA drivers, container device passthrough)
Python web framework internals (Flask, Gunicorn, WSGI)
Prior work on internal developer platforms or self-service tooling
claude/AI ability is a strong plus
depth in claude configuration - md files, MCP tools, etc will be a plus.
any BI experience

Apply