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Temporary Compiler Software Engineer Jobs in Seattle, WA

Collabera Digital

Software Design Engineer

Redmond, WA · On-site

Title: Software Design Engineer 4 Location: Redmond, WA (3 days - Hybrid) Summary: * Build and ... This system combines large language models (LLMs), compiler technology, and automated fuzzing to ...

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All JobsCompiler Software Engineer JobsTemporary Compiler Software Engineer JobsTemporary Compiler Software Engineer Jobs in Seattle, WA

Temporary Compiler Software Engineer information

See Seattle, WA salary details

$27.3K

$119.3K

$215.1K

How much do temporary compiler software engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for temporary compiler software engineer in Seattle, WA is $119,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $136,600.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Compiler Software Engineer vs Temporary Software Developer?

AspectTemporary Compiler Software EngineerTemporary Software Developer
Required CredentialsBachelor's in Computer Science or related field; knowledge of compiler designBachelor's in Computer Science or related field; programming skills
Work EnvironmentR&D teams, specialized in language processingVarious industries, application development
Employer & Industry UsageTech companies, compiler and language tool firmsSoftware firms, startups, tech companies
Common Search & ComparisonOften compared for technical skills and project scopeBroader role, general programming tasks

The main difference is that a Temporary Compiler Software Engineer specializes in compiler design and language processing, requiring specific knowledge of compiler construction. In contrast, a Temporary Software Developer has a broader focus on application development across various domains. Both roles often require similar educational backgrounds but differ in technical expertise and work focus.

Temporary Compiler Software Engineer jobs near you
Infographic showing various Temporary Compiler Software Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,337 per year, or $57.4 per hour.

Software Engineer, Systems ML (Technical Leadership)

Meta

Bellevue, WA

$219K/yr

Full-time

Re-posted 12 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across our Systems ML Engineering organization. In this role, you will define the architectural foundations that power large-scale machine learning infrastructure, spanning training systems, inference pipelines, ML compilers, high-performance computing frameworks, and on-device optimization. You will identify and solve the hardest cross-system ML infrastructure challenges, shape multi-year technical roadmaps, and amplify the impact of engineering teams through AI-native workflows and deep systems expertise. This is a role for engineers who identify problems others miss and drive them to resolution at organizational scale.
Software Engineer, Systems ML (Technical Leadership) Responsibilities:
  • Identify and solve the most complex cross-system ML infrastructure challenges spanning training, inference, compiler optimization, and hardware-software co-design, including problems that have resisted prior solution attempts
  • Define extensible architectural standards and technical foundations for ML systems that enable consistency and reliability across multiple engineering organizations
  • Develop and own the multi-year technical roadmap for ML systems infrastructure, balancing short-term delivery with long-term platform health and competitive positioning
  • Leverage AI-native tooling and workflows as a force multiplier to eliminate entire categories of engineering toil and accelerate cross-disciplinary work across the ML systems stack
  • Drive performance improvements across large-scale ML training and inference systems by identifying bottlenecks that span multiple subsystems, ownership boundaries, and abstraction layers
  • Establish invariants, correctness proofs, and systemic reliability practices that prevent whole classes of failures across ML infrastructure pipelines
  • Partner with research, hardware, and product engineering teams to translate theoretical ML systems advances into production infrastructure that delivers measurable efficiency and capability gains
  • Assess emerging AI and computing technologies, evaluate competitive ML infrastructure trends, and influence organizational strategy to ensure technical competitiveness
  • Mentor engineers across the organization by providing customized coaching, leading engineering programs, and establishing a culture of thoroughness and high craft in ML systems development
  • Communicate complex ML systems architecture and strategy clearly to technical and non-technical audiences, producing reference-quality design documents and roadmap artifacts

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in software engineering with deep specialization in one or more ML systems domains including AI infrastructure, ML compilers, high-performance computing, GPU architecture, ML frameworks, or on-device optimization
  • Experience architecting and delivering large-scale ML training or inference infrastructure that has had measurable impact across multiple engineering organizations
  • Experience leading multi-year cross-functional technical initiatives, including defining metrics, managing dependencies, and driving execution across organizational boundaries
  • Experience developing high-performance ML systems infrastructure in C++, Python, or CUDA, including work at the intersection of hardware and software
  • Experience influencing technical direction and engineering practices across multiple teams through written proposals, design reviews, and stakeholder alignment

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience contributing to industry-wide ML systems efforts through publications, open-source projects, or standards bodies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of applying AI tools and automation to redesign engineering workflows, with demonstrated efficiency or quality improvements at organizational scale
  • Experience with ML compiler stacks such as MLIR, XLA, or TVM, or with hardware-software co-design for custom ML accelerators
  • Experience defining and operationalizing reliability, performance, and correctness standards for distributed ML training or large-scale inference systems

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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