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Remote Compiler Engineer Jobs in Gilroy, CA (NOW HIRING)

Remote Compiler Engineer information

See Gilroy, CA salary details

$11.6K

$88.1K

$119.6K

How much do remote compiler engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote compiler engineer in Gilroy, CA is $88,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,600.00 and $114,300.00 per year, depending on experience, location, and employer.

What are some common challenges remote compiler engineers face when collaborating with distributed teams?

Remote Compiler Engineers often work with globally distributed teams, which can lead to challenges such as coordinating across time zones, ensuring clear communication on complex technical issues, and maintaining code consistency. Effective use of collaboration tools, thorough documentation, and regular virtual meetings are essential to overcoming these hurdles. Additionally, sharing knowledge proactively and participating in code reviews help maintain alignment and foster a strong team dynamic, even when working remotely.

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

AspectRemote Compiler EngineerRemote Software Developer
Required CredentialsBachelor's in Computer Science, knowledge of compiler design, programming languages (C++, Python)Bachelor's in Computer Science or related field, proficiency in programming languages (Java, Python, C#)
Work EnvironmentResearch labs, tech companies, remote teams focused on language toolsTech companies, startups, remote teams developing applications
Industry UsageCompiler development, programming language design, software optimizationApplication development, web, mobile, enterprise software
Common Search/ComparisonFocus on compiler technology, language processingFocus on application coding, software solutions

Remote Compiler Engineers specialize in designing and optimizing compilers and language tools, often requiring knowledge of compiler theory and programming languages. Remote Software Developers create software applications across various platforms, emphasizing coding and application logic. While both roles involve programming, their focus areas and industry applications differ significantly.

What does a remote compiler engineer do?

A Remote Compiler Engineer designs, develops, and maintains compilers, which are programs that translate source code written in one programming language into another language, often machine code. Working remotely, they collaborate with teams using online tools to improve compiler performance, add new features, and fix bugs. Their role may also involve optimizing code generation, supporting new hardware architectures, and ensuring compatibility with various programming languages. Remote Compiler Engineers typically have strong programming skills, especially in languages like C, C++, or Rust, and a deep understanding of computer architecture.

What are the key skills and qualifications needed to thrive as a remote compiler engineer, and why are they important?

To thrive as a Remote Compiler Engineer, you need a strong background in computer science, expertise in compiler theory, and proficiency in programming languages such as C++ or Rust. Experience with build systems, version control (e.g., Git), and familiarity with tools like LLVM or GCC is typically required. Excellent problem-solving skills, self-motivation, and clear communication are crucial soft skills for collaborating across distributed teams. These competencies ensure robust, efficient compiler development and effective teamwork in a remote environment.
What cities near Gilroy, CA are hiring for Remote Compiler Engineer jobs? Cities near Gilroy, CA with the most Remote Compiler Engineer job openings:
Infographic showing various Remote Compiler Engineer job openings in Gilroy, CA as of July 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 100% Remote job distribution, with an average salary of $88,143 per year, or $42.4 per hour.

Principal Modeling Architect - DC GPU

Advanced Micro Devices, Inc

San Jose, CA • On-site, Remote

Full-time

Re-posted 13 days ago


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

28th of 156 rated electronics manufacturers


Job description


WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  



THE TEAM

AMD's Data Center GPU organization is transforming the AI and HPC landscape. Our mission is to design and market exceptional products—anchored by our Instinct™ GPU portfolio—that power the next generation of computing in enterprise data centers, cloud, and supercomputing environments. If you’re excited by AI disruption and want to be part of building something big, join us.

THE ROLE

AMD is seeking a highly accomplished Principal Modeling Architect to join the Product Architecture and Workload Strategy team for Data Center GPU. This role will be responsible for leading the development and application of advanced workload modeling methodologies to inform the architecture, design, and optimization of AMD’s next-generation Instinct™ GPU and data center platforms.

You will drive deep analysis of emerging AI/ML, HPC, and data analytics workloads, translating insights into actionable architectural requirements and performance projections. Your work will directly influence silicon, system, and software design, ensuring AMD platforms are optimized for current and future workload trends.

KEY REPSONSIBILITIES

 

Workload Modeling Leadership

  • Develop and refine workload modeling frameworks to characterize and project performance, scalability, and resource utilization for AI/ML, HPC, and data analytics workloads.
  • Analyze emerging model architectures (e.g., LLMs, transformer variants, graph neural networks), datatypes, and scaling methodologies to anticipate future platform requirements.
  • Collaborate with architecture, silicon design, software, and performance engineering teams to translate workload insights into platform-level technical requirements.
  • Lead benchmarking, profiling, and simulation efforts to validate architectural assumptions and guide design trade-offs.
  • Produce detailed workload characterization reports, performance projections, and sensitivity analyses to inform platform strategy and technical decision-making.

REQUIRED QUALIFICATIONS

  • 12+ years of experience in workload modeling, performance engineering, system architecture, or related technical domains.
  • Demonstrated expertise in modeling and analyzing AI/ML, HPC, or large-scale data analytics workloads on GPU or accelerator platforms.
  • Deep understanding of performance modeling methodologies, benchmarking tools, simulation environments, and workload characterization techniques.
  • Experience collaborating across hardware, software, and system engineering teams to drive workload-informed architectural decisions.
  • Strong analytical, communication, and technical writing skills; ability to synthesize complex data into actionable insights.
  • Advanced degree in Computer Science, Electrical Engineering, or related field preferred.

PREFERRED QUALIFICATIONS

  • Experience with ROCm, CUDA, or other GPU programming frameworks.
  • Familiarity with compiler/runtime systems, kernel libraries, and developer tooling for AI/ML workloads.
  • Track record of publishing workload analysis or performance modeling research in peer-reviewed venues.
  • Experience engaging with hyperscalers, CSPs, or large enterprise customers on workload deployment and optimization.

This role is not eligible for visa sponsorship.

LOCATION:

Bay Area or Remote

#LI-RW1



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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