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Assistant Cuda Jobs in Bothell, WA (NOW HIRING)

NVIDIA

Solutions Architect, AI and ML

Seattle, WA · On-site

$71.75 - $94.50/hr

... assist customers with adoption of GPU hardware and Software. The role involves working with Cloud ... CUDA, RAPIDS, Triton etc.) • System-level experience specifically GPU-based systems • ...

NVIDIA

Solutions Architect, AI and ML

Seattle, WA · On-site

$71.75 - $94.50/hr

... to assist customers with the adoption of GPU hardware and software, as well as building and ... CUDA, RAPIDS, Triton etc.) • System-level experience specifically GPU-based systems • ...

NVIDIA

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

... assist customers with adoption of GPU hardware and Software. The role involves working with Cloud ... CUDA, RAPIDS, Triton etc.) • System-level experience specifically GPU-based systems • ...

NVIDIA

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

... to assist customers with the adoption of GPU hardware and software, as well as building and ... CUDA, RAPIDS, Triton etc.) • System-level experience specifically GPU-based systems • ...

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA

$159K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Zoox

Software Engineer - C++ GPU Performance

Seattle, WA

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Nvidia

Solutions Architect, AI and ML

Seattle, WA

$71.75 - $94.50/hr

... assist customers with adoption of GPU hardware and Software, as well as building and deploying ... CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based systems * Experience ...

Nvidia

Solutions Architect, AI and ML

Seattle, WA

$71.75 - $94.50/hr

... assist customers with adoption of GPU hardware and Software, as well as building and deploying ... CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based systems * Experience ...

Nvidia

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

... assist customers with adoption of GPU hardware and Software, as well as building and deploying ... CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based systems * Experience ...

Nvidia

Solutions Architect, AI and ML

Redmond, WA

$70.50 - $93/hr

... assist customers with adoption of GPU hardware and Software, as well as building and deploying ... CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based systems * Experience ...

Nvidia Corporation

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

... assist customers with adoption of GPU hardware and Software, as well as building and deploying ... CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based systems * Experience ...

Nvidia Corporation

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

... assist customers with adoption of GPU hardware and Software, as well as building and deploying ... CUDA, RAPIDS, Triton etc.) * System-level experience specifically GPU-based systems * Experience ...

NVIDIA

Senior Software Engineer, AI Resiliency

Redmond, WA

$137K - $180K/yr

Support Production Deployments: Assist in debugging and performance tuning large-scale AI workloads ... Hands-on experience with CUDA, NCCL, or MPI for GPU-accelerated computing, especially at extreme ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA

$137K - $180K/yr

Support Production Deployments: Assist in debugging and performance tuning large-scale AI workloads ... Hands-on experience with CUDA, NCCL, or MPI for GPU-accelerated computing, especially at extreme ...

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All JobsAssistant Cuda JobsAssistant Cuda Jobs in Bothell, WA

Assistant Cuda information

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

To thrive as an Assistant CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and familiarity with GPU architectures, often backed by a degree in computer science or a related field. Proficiency with CUDA development tools, debugging utilities, and version control systems like Git is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and optimizing code. These skills ensure efficient development of high-performance applications and successful integration of GPU acceleration into software solutions.

What are Assistant Cuda roles and responsibilities?

An Assistant Cuda typically supports senior CUDA (Compute Unified Device Architecture) developers or teams working with NVIDIA’s parallel computing platform. Their responsibilities include assisting in developing, testing, and optimizing code written for GPUs to accelerate computing tasks, debugging CUDA applications, and maintaining documentation. They may also handle routine tasks such as performance benchmarking, code reviews, and collaborating with other team members to implement efficient GPU solutions. This role is crucial in organizations that rely on high-performance computing, scientific simulations, or AI workloads.

What is the difference between Assistant Cuda vs Assistant Data Analyst?

AspectAssistant CudaAssistant Data Analyst
Required CredentialsTypically a relevant degree in computer science or related fieldOften a degree in data science, statistics, or related field
Work EnvironmentTech companies, software development teams, AI projectsBusiness, finance, marketing, or research departments
Employer & Industry UsageUsed in tech and AI industries for supporting CUDA programming tasksCommon in data-driven industries for data processing and analysis

Assistant Cuda and Assistant Data Analyst roles share some technical background but differ mainly in focus. Assistant Cuda primarily supports GPU programming and AI development, while Assistant Data Analyst focuses on data interpretation and reporting. Both roles require relevant technical skills and are found in industries leveraging data and technology, but their daily tasks and industry applications vary significantly.

What are some common challenges faced by Assistant CUDA developers when optimizing code for GPU performance?

Assistant CUDA developers often encounter challenges such as managing memory efficiently between the host and device, ensuring proper kernel parallelization, and avoiding thread divergence. Balancing occupancy and resource usage can also be tricky, as it requires a deep understanding of how CUDA schedules and executes threads. Collaborating closely with data scientists and other engineers is essential to identify performance bottlenecks and implement effective optimizations.
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What are popular job titles related to Assistant Cuda jobs in Bothell, WA? For Assistant Cuda jobs in Bothell, WA, the most frequently searched job titles are:
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Assistant Cuda jobs near you
Solutions Architect, AI and ML

Solutions Architect, AI and ML

NVIDIA

Seattle, WA • On-site

$71.75 - $94.50/hr

Full-time

Posted 6 days ago

Job description

Job Summary:
NVIDIA is building the world’s leading AI company, and they are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and Software. The role involves working with Cloud Service Providers to develop and demonstrate solutions, building and deploying AI/ML solutions, and driving end-to-end technology solutions based on customer business needs.
Responsibilities:
• Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and data science software and hardware technologies
• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
• Build custom PoCs for solution that address customer’s critical business needs applying NVIDIA hardware and software technology
• Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions
• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues
Qualifications:
Required:
• 3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience
• 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.
• Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure
• Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments
• Ability to use at least one scripting language (i.e., Python)
• Good programming and debugging skills
• Ability to communicate your ideas/code clearly through documents, presentation etc.
Preferred:
• AWS, GCP or Azure Professional Solution Architect Certification.
• Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)
• System-level experience specifically GPU-based systems
• Experience with Deep Learning at scale
• Familiarity with parallel programming and distributed computing platforms
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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