ZipRecruiter

Log In

1

Cuda Jobs in Bothell, WA (NOW HIRING)

General Robotics

Systems Engineer

Redmond, WA · On-site

$155K - $205K/yr

Optimize GPU/CUDA workloads and accelerate ML frameworks (PyTorch, JAX, TensorFlow) for robotics applications. * Build and maintain containerized deployment pipelines using Kubernetes and Docker.

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

... such as CUDA, Pytorch, transformers, flash attention, etc. • Strong written and verbal communication skills and the ability to operate in a cross functional team environment Preferred : • ...

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

... such as CUDA, Pytorch, transformers, flash attention, etc. • Strong written and verbal communication skills and the ability to operate in a cross functional team environment Preferred : • ...

Scale AI

ML Research Engineer, ML Systems

Seattle, WA · On-site

... such as CUDA, Pytorch, transformers, flash attention, etc. • Strong written and verbal communication skills and the ability to operate in a cross functional team environment Preferred : • ...

Uw

Research Scientist/Engineer 1

Seattle, WA

$70K/yr

PyTorch/CUDA for segmentation/model inference. 3. Data stewardship: DVC or equivalent data versioning; basic dashboarding/monitoring (Prometheus/Grafana). 4. Domain breadth: Prior coursework/research ...

Nvidia

Solutions Architect, AI and ML

Seattle, WA

$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 ...

Nvidia

Solutions Architect, AI and ML

Seattle, WA

$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 ...

next page

Showing results 1-20

All JobsCuda JobsCuda Jobs in Bothell, WA

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:
Cuda jobs near you
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.

Systems Engineer

General Robotics

Redmond, WA • On-site

$155K - $205K/yr

Full-time

Medical, Retirement

Posted 18 days ago

Job description

General Robotics is an AI research and deployment company building a platform for general robot intelligence. Our mission is to enable rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics. We aspire to become the starting point for AI-powered autonomous systems across a diverse set of scenarios.
Position Overview
We are seeking a Systems Engineer to join our team in Redmond, WA. We build and optimize the infrastructure that powers generalized robotics foundation models - spanning edge devices to cloud GPU clusters - with a focus on low latency, high throughput, and efficient resource utilization across form factors such as aerial, ground, manipulation, and others.
We are looking for strong candidates who have a background in systems engineering and AI/ML infrastructure, with experience in areas like systems programming; distributed systems architecture; GPU-accelerated computing; containerized deployments; and ML training and inference optimization. By applying to this role, you will be considered for multiple teams, such as platform infrastructure, ML systems, and edge deployment.
Systems Engineer Responsibilities
  • Design, build, and optimize systems infrastructure spanning edge devices to cloud GPU clusters for robotics workloads.
  • Develop and maintain low-latency, high-throughput pipelines for ML model training and inference.
  • Architect and manage distributed systems for efficient resource utilization across heterogeneous compute environments.
  • Optimize GPU/CUDA workloads and accelerate ML frameworks (PyTorch, JAX, TensorFlow) for robotics applications.
  • Build and maintain containerized deployment pipelines using Kubernetes and Docker.
  • Collaborate with research teams to translate model requirements into scalable, production-grade systems.
  • Design monitoring, profiling, and benchmarking tools to identify and resolve performance bottlenecks.
  • Contribute to infrastructure tooling and open-sourcing efforts.

Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Robotics, relevant technical field, or equivalent practical experience. Master's degree preferred.
  • 1+ years of experience in systems engineering, software engineering, robotics, or AI/ML systems.
  • Strong systems programming skills in one or more of: C++, Rust, Go, Python.
  • Solid understanding of operating systems, networking, and distributed systems fundamentals.
  • Experience with ML frameworks (PyTorch, JAX, TensorFlow) and cloud infrastructure (Kubernetes, Docker).
  • Experience with GPU programming and CUDA optimization for ML workloads.
  • Experience designing and scaling distributed training infrastructure for large foundation models.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tooling.
  • Familiarity with real-time systems, embedded platforms, or edge deployment for robotics.
  • Experience with high-performance networking, storage systems, or scheduler design (e.g., Slurm, Ray).
  • Good understanding of ML model architectures and the ability to factor systems constraints into research decisions.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Base Salary Range
The anticipated base salary for this position is $155,000 - $205,000. Your actual pay will be based on factors such as skills, experience, and location. In addition to base salary, this role is eligible for benefits including medical, 401K and other health benefits.
Work Authorization
This role is open to candidates currently based in and authorized to work in the US.
Equal Opportunity Employer
General Robotics is an equal opportunity employer. We do not discriminate on the
basis of any status protected by applicable law.
Accommodations
If you need a reasonable accommodation during the application or interview
process, please contact: HR@GeneralRobotics.company

Apply