ZipRecruiter

Log In

1

Junior Machine Learning Compiler Engineer Jobs in San Ramon, CA

Apple

Machine Learning Compiler Engineer

Sunnyvale, CA · On-site

Description As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the ...

Apple

Machine Learning Compiler Engineer

Sunnyvale, CA

$150K - $277K/yr

Description As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the ...

Luminal

Senior Compiler Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Compiler Engineer to design and build core compiler infrastructure ... Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch ...

TetraMem, Inc.

Compiler Engineer

San Jose, CA · On-site

$160K - $300K/yr

Design, develop, and maintain compiler toolchains that translate machine learning models from ... Mentor junior engineers, contribute to technical documentation, and help define the long-term ...

Efficient Computer

Senior Compiler Engineer

San Jose, CA · On-site

$160K - $210K/yr

The Compiler Engineer will contribute to the design and implementation of an embedded machine learning (ML) system stack and TinyML applications to run on the world's most energy-efficient ...

quadric, Inc

Deep Learning Compiler Engineer

Burlingame, CA · On-site +1

$110K - $270K/yr

... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...

Doist

Senior Compiler Engineer

San Jose, CA · On-site

$160 - $210/hr

The Compiler Engineer will contribute to the design and implementation of an embedded machine learning (ML) system stack and TinyML applications to run on the world's most energy-efficient ...

New

Doist

Senior Principal Compiler Engineer

San Jose, CA · On-site

$180 - $240/hr

About the role As a Senior Principal Compiler Engineer you'll lead critical areas of our compiler ... Familiarity with machine learning models and frameworks. * Familiarity with accelerated computing.

New

SambaNova

Compiler Architect

San Jose, CA · On-site

This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware. Responsibilities * Lead compiler engineering ...

Luminal

Cloud Inference Engineer

San Francisco, CA · On-site

$65.75 - $87.75/hr

They are seeking a Cloud Inference Engineer to deploy and tune models for low latency and high ... Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch ...

Q-CTRL

Senior Compiler Engineer

San Francisco, CA · On-site

$135K - $210K/yr

Our team excels in areas across back-end, front-end, machine learning, and platform engineering. We ... Design, implement and optimise compiler infrastructure, intermediate representations, optimisation ...

next page

Showing results 1-20

All JobsMachine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer Jobs in San Ramon, CA

Junior Machine Learning Compiler Engineer information

See San Ramon, CA salary details

$37.4K

$80.2K

$122.4K

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

As of Aug 19, 2026, the average yearly pay for junior machine learning compiler engineer in San Ramon, CA is $80,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $89,400.00 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 San Ramon, CA?

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

What job categories do people searching Junior Machine Learning Compiler Engineer jobs in San Ramon, CA look for?

The top searched job categories for Junior Machine Learning Compiler Engineer jobs in San Ramon, CA are:

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

Cities near San Ramon, 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 San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $80,237 per year, or $38.6 per hour.

Machine Learning Compiler Engineer

Apple

Sunnyvale, CA • On-site

Full-time

Re-posted 19 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team!
Description
As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more. This is a dynamic opportunity to work with us in a creative, collaborative environment while developing groundbreaking technologies that will shape the future of computing.
Are you ready to help us deliver the next groundbreaking Apple products?
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, or a related field with 3 years of relevant experience
Experience with program analysis and IR (Intermediate Representation), or programming language design, particularly with MLIR and LLVM
Proven expertise in compiler design and architecture, including deep experience with front-end and middle-end optimizations, register allocation, and back-end code generation
High-level proficiency in C++ and experience working with large, complex software systems
Preferred Qualifications
Master's or PhD degree in Computer Science, Computer Engineering, or a related field
Demonstrated ability to ship high-quality production software
Strong communication skills and ability to collaborate effectively across teams and functions
Experience optimizing compilers for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi-threading techniques
Expertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and tools
Familiarity with Just-in-Time (JIT) compilation and dynamic optimization techniques for real-time code execution

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

View All Apple Jobs

Apply