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Junior Machine Learning Compiler Engineer Jobs in Oceanside, CA

Qualcomm

LLVM/Ripple Compiler Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Qualcomm is ... Provide technical mentorship, code reviews, and guidance to junior engineers. * Work cross ...

Qualcomm

LLVM/Ripple Compiler Engineer

San Diego, CA · On-site

$141 - $211/hr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Qualcomm is ... Provide technical mentorship, code reviews, and guidance to junior engineers. * Work ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

Engineering Group, Engineering Group > Machine Learning Researcher General Summary: As a leading ... compiler/scheduling). • Performs platform research to enable new machine learning compute ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$159.10 - $238.70/hr

Job Area Engineering Group, Engineering Group > Machine Learning Researcher General Summary As a ... graph compiler/scheduling). * Performs platform research to enable new machine learning compute ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

$159K - $238K/yr

Engineering Group, Engineering Group > Machine Learning Researcher General Summary: As a leading ... compiler/scheduling). • Performs platform research to enable new machine learning compute ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Qualcomm

Compiler Software Engineer

San Diego, CA · On-site

$116.90 - $175.30/hr

Job Area Engineering Group, Engineering Group > Compiler Toolchain Software General Summary ... machine learning. You will work with the team on the entire compilation stack including optimizing ...

Qualcomm

Compiler Software Engineer

San Diego, CA · On-site

$116K - $175K/yr

Job Area: Engineering Group, Engineering Group > Compiler Toolchain Software General Summary ... machine learning. You will work with the team on the entire compilation stack including optimizing ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

Design, train, evaluate, and refine machine learning models with minimal supervision, applyingsound statistical and engineering practices * Implement ML solutions that can be deployed into production ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

Design, train, evaluate, and refine machine learning models with minimal supervision, applyingsound statistical and engineering practices * Implement ML solutions that can be deployed into production ...

Petco

Sr. Engineer, AI Platform Engineering

San Diego, CA · On-site

$107K - $147K/yr

May provide mentorship and guidance to junior machine learning engineers. * Conduct training sessions to share knowledge and best practices within the team. ML Ops Best Practices: * Design and ...

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

$98K - $171K/yr

We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous ...

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All JobsMachine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer Jobs in Oceanside, CA

Junior Machine Learning Compiler Engineer information

See Oceanside, CA salary details

$34.7K

$74.3K

$113.3K

How much do junior machine learning compiler engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for junior machine learning compiler engineer in Oceanside, CA is $74,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,200.00 and $82,800.00 per year, depending on experience, location, and employer.

What does a junior machine learning compiler engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

What are typical projects and responsibilities for a junior machine learning compiler engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

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

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in Oceanside, CA?

For Junior Machine Learning Compiler Engineer jobs in Oceanside, CA, the most frequently searched job titles are:

What cities near Oceanside, CA are hiring for Junior Machine Learning Compiler Engineer jobs?

Cities near Oceanside, CA with the most Junior Machine Learning Compiler Engineer job openings:

Junior Machine Learning Compiler Engineer jobs near you
Infographic showing various Junior Machine Learning Compiler Engineer job openings in Oceanside, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $74,279 per year, or $35.7 per hour.

LLVM/Ripple Compiler Engineer

Qualcomm

San Diego, CA • On-site

Full-time

Re-posted 16 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Qualcomm is seeking a highly skilled Staff Engineer to drive development of LLVM-Ripple, its compiler toolchain, and the supporting ecosystem that enables highly-parallel application development on Snapdragon platforms. In this role, you will design, develop, optimize, and maintain compiler components, parallel runtimes, and developer-facing features that significantly improve the programming experience for massively parallel applications targeting heterogeneous compute architectures.
You will work closely with architecture teams, runtime engineers, and application developers to evolve the Ripple programming model, enhance performance portability, and expand compiler and runtime capabilities. This position requires deep expertise in compiler internals, parallel programming models, and performance optimization on modern SoCs.
Responsibilities
  • Lead design and development of LLVM-Ripple compiler components, including front-end extensions, middle-end optimizations, back-end code generation, and tooling support.
  • Architect and implement improvements to parallel runtimes, including scheduling, memory models, synchronization, and heterogeneous workloads targeting Snapdragon processors.
  • Define and evolve programming abstractions to improve developer experience for highly parallel and heterogeneous applications.
  • Collaborate with hardware architecture teams to model and expose new parallel features, SIMD/SIMT execution models, and accelerator capabilities through compiler and runtime interfaces.
  • Drive performance analysis, benchmarking, and optimization across the full Ripple ecosystem: compiler, runtime, libraries, and application workloads.
  • Deliver high-quality, maintainable code and documentation; contribute upstream to LLVM and Ripple where appropriate.
  • Provide technical mentorship, code reviews, and guidance to junior engineers.
  • Work cross-functionally with internal customers to enable new use cases, improve toolchain reliability, and enhance developer workflows.

Minimum skills
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 8+ years of software engineering experience OR
    Master's degree in the same fields and 6+ years of experience OR
    PhD and 3+ years of experience.
  • Strong experience with LLVM development, including IR transformations, back-end targets, code generation, or compiler toolchain design.
  • Expertise in parallel programming models, such as:
    • CUDA
    • OpenCL
    • OpenMP
    • SIMD/SIMT programming
    • GPU programming models or heterogeneous compute frameworks
  • Proficiency with C/C++ and modern compiler engineering practices.
  • Experience with runtime systems, concurrency, or parallel execution models.
  • Strong debugging, performance analysis, and optimization skills.

Preferred Skills
  • Experience contributing to upstream LLVM or similar large open-source compiler projects.

Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$140,800.00 - $211,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

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Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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