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Assistant Cuda Jobs in Bothell, WA (NOW HIRING)

Add basic metrics and dashboards; assist with alarms and runbooks. * Follow on-call runbooks and ... Coursework/research with PyTorch or TensorFlow; simple CUDA projects a plus. * Familiarity with ...

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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.
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 job categories do people searching Assistant Cuda jobs in Bothell, WA look for? The top searched job categories for Assistant Cuda jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Assistant Cuda jobs? Cities near Bothell, WA with the most Assistant Cuda job openings:
Senior Solutions Architect, AI Cloud Services

Senior Solutions Architect, AI Cloud Services

Nvidia

Seattle, WA • On-site, Remote

Full-time

Re-posted 6 hours ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.

What you'll be doing:

  • Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies.

  • Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.

  • Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.

  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

  • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.

  • Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.

What we need to see:

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

  • 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.

  • Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI

  • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.

  • Effective time management and capable of balancing multiple tasks.

  • Ability to communicate ideas clearly through documents, presentation, etc.

Ways to stand out from the crowd:

  • AWS, GCP, Azure or OCI Professional Solution Architect Certifications

  • Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)

  • Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.

  • Solid working knowledge of Python

  • System-level experience, specifically GPU-based systems

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


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