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Cuda Jobs in Bothell, WA (NOW HIRING)

Solutions Architect, AI and ML

Seattle, WA · On-site

$71.75 - $94.50/hr

CUDA, RAPIDS, Triton etc.) • System-level experience specifically GPU-based systems • Experience with Deep Learning at scale • Familiarity with parallel programming and distributed computing ...

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

CUDA, RAPIDS, Triton etc.) • System-level experience specifically GPU-based systems • Experience with Deep Learning at scale • Familiarity with parallel programming and distributed computing ...

Solutions Architect, AI and ML

Seattle, WA · On-site

$71.75 - $94.50/hr

CUDA, RAPIDS, Triton etc.) • System-level experience specifically GPU-based systems • Experience with Deep Learning at scale • Familiarity with parallel programming and distributed computing ...

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

CUDA, RAPIDS, Triton etc.) • System-level experience specifically GPU-based systems • Experience with Deep Learning at scale • Familiarity with parallel programming and distributed computing ...

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight. * Strong knowledge of C++ and ...

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight. * Strong knowledge of C++ and ...

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137K - $180K/yr

... CUDA and/or Triton. This is an exceptional opportunity for passionate software engineers straddling the boundaries of research and engineering, with a strong background in both machine learning ...

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Cuda information

See Bothell, WA salary details

$124.6K

$230.3K

How much do cuda jobs pay per year?

As of Jun 16, 2026, the average yearly pay for cuda in Bothell, WA is $224,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $229,200.00 and $229,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a CUDA Developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

What are the key skills and qualifications needed to thrive as a CUDA Developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

What is a Cuda job?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are CUDA developers?

CUDA developers are software engineers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). Their primary focus is on parallel computing, optimizing algorithms to leverage GPU acceleration for tasks such as scientific computing, machine learning, and data processing. These professionals typically have strong skills in C, C++, and Python, and a solid understanding of GPU hardware. CUDA developers are in demand in industries that require high-performance computing solutions.
What are the most commonly searched types of Cuda jobs in Bothell, WA? The most popular types of Cuda jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Cuda jobs? Cities near Bothell, WA with the most Cuda job openings:
Infographic showing various Cuda job openings in Bothell, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $224,147 per year, or $107.8 per hour.

LLM Pre-training & Distributed Engineer (AI Infrastructure)

Hyphen Connect Limited

Seattle, WA

$122K - $160K/yr

Other

Posted 23 days ago


Job description

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

  • Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
  • Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
  • Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

  • Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
  • Experience managing SLURM or Kubernetes-based GPU clusters.
  • Strong systems engineering background (C++, CUDA, Python).