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Assembly Language Programming Jobs in Seattle, WA

HEICO

Engineer I- Soundair Aviation

Snohomish, WA · On-site

Support the repair station technicians by providing technical assistance, test and assembly fixture ... Language Skills : Ability to read, analyze, and interpret general business periodicals ...

Amazon

Software Dev Engineer, Amazon Leo

Redmond, WA · On-site

$147K - $193K/yr

... assembly, C, C++, Rust or other languages • Have experience with real-time embedded software ... programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle ...

Boeing

Senior Employee Development Specialist

Renton, WA · On-site

$113K - $154K/yr

... Assembly, and Delivery of Aircraft and other Aerospace Products. As an Employee Development ... Collaborate with stakeholders and service providers (e.g., curriculum developers, instructional ...

Apple

Design Verification Engineer

Seattle, WA

$120K - $181K/yr

Design Verification Engineers at Apple are responsible for verifying the functionality and ... language Ability to work independently to deliver the project goals Experience with C/C++, assembly ...

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Assembly Language Programming information

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$12

$19

$24

How much do assembly language programming jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for assembly language programming in Seattle, WA is $19.51, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $21.06 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assembly Language Programmer, and why are they important?

To thrive as an Assembly Language Programmer, you need a deep understanding of computer architecture, low-level programming concepts, and proficiency in assembly languages for specific processors. Familiarity with development environments, debugging tools like GDB, and version control systems is typically required. Strong problem-solving, attention to detail, and the ability to communicate technical information clearly are crucial soft skills. These capabilities are important because they enable programmers to write efficient, reliable code that interacts closely with hardware and supports critical system functions.

What is the difference between Assembly Language Programming vs Embedded Systems Developer?

AspectAssembly Language ProgrammingEmbedded Systems Developer
Required CredentialsKnowledge of low-level programming, often no formal certification requiredTechnical degree (e.g., Computer Engineering), certifications like ARM or IoT certifications beneficial
Work EnvironmentLow-level hardware interaction, often in labs or manufacturing settingsDesigning, developing, and testing embedded software in various industries
Industry UsageEmbedded systems, firmware development, hardware programmingConsumer electronics, automotive, medical devices, IoT products
Common Search/ComparisonYesYes

Assembly Language Programming focuses on writing low-level code directly for hardware, while Embedded Systems Developers design and implement software for embedded devices. Both roles require understanding of hardware, but the Embedded Systems Developer often works at a higher level, integrating hardware and software for specific applications.

What is assembly language programming?

Assembly language programming involves writing low-level code that is closely related to a computer's machine language. It uses symbolic instructions and labels to represent machine-level code, making it easier for humans to read and write than raw binary code. Programmers use assembly language to write programs that need direct hardware control or high performance, such as operating systems or embedded systems. Learning assembly can help you understand how computers execute instructions and manage resources.

What are some common challenges faced by Assembly Language Programmers in modern development environments?

Assembly Language Programmers often encounter challenges related to hardware compatibility and low-level debugging, as assembly code is closely tied to specific processor architectures. Additionally, maintaining and optimizing code for performance can be complex, since even small errors can lead to difficult-to-trace bugs. Working in modern development teams, assembly programmers may also need to collaborate with engineers using higher-level languages, which requires clear documentation and communication to ensure seamless integration.
What are popular job titles related to Assembly Language Programming jobs in Seattle, WA? For Assembly Language Programming jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Assembly Language Programming jobs in Seattle, WA look for? The top searched job categories for Assembly Language Programming jobs in Seattle, WA are:
Assembly Language Programming jobs near you
Infographic showing various Assembly Language Programming job openings in Seattle, WA as of May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $40,576 per year, or $19.5 per hour.
Senior Performance Compiler Engineer - Triton

Senior Performance Compiler Engineer - Triton

Nvidia

Seattle, WA • On-site

$118K - $163K/yr

Full-time

Posted 12 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We're looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what's possible.

What you'll be doing:

  • Investigating the latest and future NVIDIA GPU hardware architecture and programming models.

  • Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization.

  • Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware.

  • Engaging in a dynamic, iterative process of optimization-sometimes starting with the kernel, sometimes with the compiler-to find the most efficient path to peak performance.

  • Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, to influence future products and ensure we are always operating at maximum efficiency.

What we need to see:

  • Bachelor, Masters or Ph.D. degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or a related field.

  • 8+ years of relevant industry experience in software development.

  • Demonstrated strong C++ programming and software design skills, with an emphasis on performance analysis and debugging.

  • Experienced in parallel programming, including CUDA/OpenCL GPU programming or other parallel models such as OpenMP.

  • Solid understanding of computer architecture and hands-on experience with assembly-level programming.

Ways to stand out from the crowd:

  • Experience in tuning BLAS or deep learning library kernels.

  • Background in numerics and linear algebra.

  • Experience with machine learning compilers like TVM or MLIR.

  • Contributions to open-source projects, especially in the AI/ML or compiler space.

  • Familiarity with the latest research in AI algorithms and numerics as well as a strong track record of contributions to open-source projects, particularly in the AI/ML, compiler, or high-performance computing domains.

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. 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 12, 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

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