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Implementation Engineer Jobs in Bothell, WA (NOW HIRING)

Senior GPU Compiler Development Engineer

Redmond, WA

$137.20K - $180.90K/yr

PTX Compiler (PTXAS) apart from implementing PTX ISA is responsible for PTX Compiler Front End, ... You will be contributing towards evolving programming model for Generative AI and DL applications ...

Manager, Oracle Tax Implementation

Seattle, WA

$126.30K - $165.60K/yr

Identify, design and implement technology and innovative solutions to address tax needs. * Cross ... Certified SAFe Agile Software Engineer; * Certified SAFe Product Owner / Product Manager;

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Implementation Engineer information

See Bothell, WA salary details

$30

$57

$90

How much do implementation engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for implementation engineer in Bothell, WA is $57.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $68.27 per hour, depending on experience, location, and employer.

What Does an Implementation Engineer Do?

As an implementation engineer, your duties are to assist the project manager to deploy network, hardware, and software solutions for a company or institution. You participate in all phases of the design, test, and implementation process, helping to modify the project scope, identify and troubleshoot problems with implementation or efficiency, perform data analysis to assess what types of modifications need to occur, and determine how well the new implementations are working after the project is complete. Your responsibilities are also to train end users on how to use new systems.

What are the key skills and qualifications needed to thrive as an Implementation Engineer, and why are they important?

To thrive as an Implementation Engineer, you need a solid background in computer science or engineering, strong problem-solving abilities, and experience with software deployment and integration. Familiarity with technical tools such as configuration management systems, APIs, scripting languages, and knowledge of platforms like Salesforce or SAP is often required. Excellent communication, project management, and customer service skills help you effectively coordinate with clients and internal teams. These skills ensure smooth product rollouts, high customer satisfaction, and the successful adaptation of solutions to client environments.

What are some common challenges faced by Implementation Engineers when integrating new software solutions for clients?

Implementation Engineers often encounter challenges such as aligning client expectations with technical realities, managing multiple project timelines, and adapting to varied IT environments. They must ensure seamless integration with existing client systems while minimizing disruption to daily operations. Effective communication and proactive problem-solving are key, as the role frequently involves collaborating with both technical and non-technical stakeholders to address unforeseen issues and ensure successful deployment.

What is the difference between Implementation Engineer vs Network Engineer?

AspectImplementation EngineerNetwork Engineer
Required CertificationsCCNA, CompTIA Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentDeploying and configuring systems, software, hardwareDesigning, maintaining, and troubleshooting networks
Industry UsageIT, telecommunications, software companiesIT, telecommunications, enterprise networks
Common Search/ComparisonImplementation Engineer vs Network Engineer

The Implementation Engineer and Network Engineer roles share certifications like CCNA and work in overlapping industries such as IT and telecommunications. However, Implementation Engineers focus on deploying and configuring systems and software, while Network Engineers specialize in designing and maintaining network infrastructure. Both roles are essential in ensuring seamless technology deployment and network performance, often working together in tech projects.

Senior GPU Compiler Development Engineer

Senior GPU Compiler Development Engineer

Nvidia

Redmond, WA

$137.20K - $180.90K/yr

Full-time

Posted 29 days ago


Job description

We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX (Parallel Thread Execution) Compiler Development team. Join the PTX Compiler team and help drive PTX language design and PTX compiler evolution. PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs and used by all Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by various non-NVIDIA compilers. Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from implementing PTX ISA is responsible for PTX Compiler Front End, interaction with optimizer and runtime aspects involving object files, debug information, linkers, loaders and Driver Compiler Interface.

As a senior member of the team, you will be responsible for leading efforts to enhance PTX Compiler infrastructure to enhance it to support new compilation models for DL and Generative AI codes. You will be contributing towards evolving programming model for Generative AI and DL applications on GPUs.

What you will be doing:

  • Provide stewardship for PTX ISA and PTX Compiler infrastructure for Generative AI and DL.

  • Collaborating with architecture and programming model teams to design and implement programming models for next generation GPUs.

  • Working closely with others to help design compilation stack and strategies for AI and DL workloads.

  • Collaborate closely with teams developing other related components to ensure compatibility, robustness and high-quality code generation.

What we need to see:

  • BS (or equivalent experience), MS or Ph.D. in Computer Science, Computer Engineering, or related fields.

  • 6+ years of experience in the area of compiler front end, programming language designs, Compilers/Linkers.

  • Superb analytical and C/C++ programming skills.

  • Able to expertly use AI tools and maintain AI generated artifacts

  • Experience in any one area of compiler development including feature support, code generation and compiler infrastructure.

  • Excellent and strong interactive, verbal and written communications skills.

  • Understanding of any Processor ISA (GPU ISA a plus).

  • Good track record of developing, driving and delivering software products.

Ways to stand out from the crowd:

  • Experience in Programming Languages design and drafting programming language standards.

  • Knowledge of GPU development and compute APIs such as CUDA, and OpenCL.

  • Development experience in LLVM IR, MLIR

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, 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 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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