ZipRecruiter

Log In

1

Junior Machine Learning Compiler Engineer Jobs in Carson, CA

Q-CTRL

Senior Compiler Engineer

Los Angeles, CA

$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 ...

Q-CTRL

Senior Compiler Engineer

Los Angeles, 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 ...

Targeted Talent

Compiler Tech Lead

Los Angeles, CA

$170K - $190K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities ... Mentor and guide junior engineers * Evaluate current and proposed hardware architecture for future ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end. What You'll Do: * Research, develop and deploy cutting-edge deep learning ...

HADRIAN

Machine Learning Engineer

Torrance, CA · On-site

$250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end. What You'll Do: * Research, develop and deploy cutting-edge deep learning ...

next page

Showing results 1-20

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

Junior Machine Learning Compiler Engineer information

See Carson, CA salary details

$35K

$75.1K

$114.5K

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

As of Aug 7, 2026, the average yearly pay for junior machine learning compiler engineer in Carson, CA is $75,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $83,700.00 per year, depending on experience, location, and employer.

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 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 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 Carson, CA? For Junior Machine Learning Compiler Engineer jobs in Carson, CA, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Compiler Engineer jobs in Carson, CA look for? The top searched job categories for Junior Machine Learning Compiler Engineer jobs in Carson, CA are:
What cities near Carson, CA are hiring for Junior Machine Learning Compiler Engineer jobs? Cities near Carson, CA with the most Junior Machine Learning Compiler Engineer job openings:
Junior Machine Learning Compiler Engineer jobs near you

Senior Compiler Engineer

Q-CTRL

Los Angeles, CA

$135K - $210K/yr

Full-time

Re-posted 2 days ago

Job description

About the team
At Q-CTRL, Quantum Computing Engineering is a global team of software engineers and infrastructure experts,combining deep technical expertise with a startup mindset to deliver real impact through software innovation. Our work is underpinned by robust standards, and by embracing the three virtues. Our team excels in areas across back-end, front-end, machine learning, and platform engineering.
 
We transform Q-CTRL’s world-leading technological breakthroughs into commercial software products with applications across defense, research, and industry. We work closely with Product, Design, and Research teams to accelerate the path to quantum advantage worldwide.

About the role

As a Senior Software Engineer on the Boulder Opal team, you will lead the design and evolution of the compiler that powers next-generation quantum computing systems. Working closely with researchers and quantum engineers, you will bridge the gap between quantum algorithms and physical hardware by building a high-performance compiler capable of translating pulse-level programs into controller instructions.

This is a hands-on senior engineering role for someone with deep compiler expertise who enjoys solving challenging systems problems and influencing technical direction.

What you'll be doing:

  • Design, implement and optimise compiler infrastructure, intermediate representations, optimisation passes and code generation.

  • Maintain and evolve our bespoke Python DSL used by researchers to construct pulse-level quantum programs.

  • Build high-performance software using Python and C++.

  • Work closely with researchers to translate experimental algorithms into production-quality compiler capabilities.

  • Run experiments on quantum hardware to validate compiler outputs end-to-end.

  • Influence technical direction, mentor other engineers and drive engineering best practices.

Ideally you'll have:

  • Strong proficiency in Python and C++.

  • Experience with LLVM, particularly MLIR.

  • Experience implementing language tooling, parsers or DSLs.

  • Significant experience designing production compiler systems.

  • Experience with compiler architectures, intermediate representations, optimisation passes and code generation.

  • Strong understanding of systems programming and software architecture.

It would be fantastic (but not essential) if you bring:
  • Experience with quantum control systems or pulse-level programming.
  • Experience with experimental characterisation of superconducting or semiconductor spin qubits.
  • Experience with RF signal processing concepts such as IQ modulation.
  • Experience using laboratory instrumentation (AWGs, digitisers, oscilloscopes, SCPI-controlled instruments).
  • Experience with FPGA development (Verilog, VHDL or HLS).

Salary
The base salary for this position is targeted between $135,000 - $210,000 and will ultimately be determined by specific job-related skills, experience, level, location and other contributing factors. Depending on the position offered, this role may be eligible for annual discretionary bonuses, equity and other forms of compensation outside of the targeted range. For more information on benefits at Q-CTRL, please visit our careers page at https://q-ctrl.com/careers.

Should you have any questions related to the compensation package, please speak directly with the Talent Acquisition representative.


About Q-CTRL
Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact.
 
Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we’re hiring talent to help scale every part of the business. We work quickly to turn cutting-edge science into deployable technology.
 
In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field-validated quantum navigation solution for defense and industry.
 
At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you’re ready to help shape the future of quantum, we’d love to hear from you!
 
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
Please be advised that our communications will only come from the @q-ctrl.com domain. All our active job postings are available on our company website.
 
To recruitment agencies, we do not accept unsolicited branded profiles and are not responsible for any fees related to unsolicited resumes.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.