They are seeking a Senior / Staff ML Systems Engineer to architect and build distributed infrastructure for large-scale machine learning workflows, focusing on scalable systems that support data ...
They are seeking a Senior / Staff ML Systems Engineer to architect and build distributed infrastructure for large-scale machine learning workflows, focusing on scalable systems that support data ...
Staff ML Systems Engineer, Distributed Systems
Irvine, CA · On-site
$195K - $230K/yr
We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the ...
Staff ML Systems Engineer, Distributed Systems
Irvine, CA · On-site
$195K - $230K/yr
We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the ...
Staff ML Systems Engineer, Distributed Systems
Irvine, CA · On-site
$195K - $230K/yr
We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the ...
Quick apply
Staff ML Systems Engineer, Distributed Systems
Irvine, CA · On-site
$195K - $230K/yr
We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the ...
Staff ML Systems Engineer, Distributed Systems
Irvine, CA · On-site
$195K - $230K/yr
We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the ...
Staff ML Systems Engineer, Distributed Systems
Irvine, CA · On-site
$195K - $230K/yr
We are seeking a Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the ...
Staff ML Systems Engineer, Distributed Systems
Irvine, CA · On-site
$170 - $200/hr
We are seeking a Senior / Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large‑scale machine learning workflows across the organization. This role sits ...
Staff ML Systems Engineer, Distributed Systems
Irvine, CA · On-site
$170 - $200/hr
We are seeking a Senior / Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large‑scale machine learning workflows across the organization. This role sits ...
The Role As a Staff Distributed Systems Engineer on Ads Policy Infrastructure, you will provide hands-on technical leadership for the systems that define, govern, evaluate, and explain advertising ...
The Role As a Staff Distributed Systems Engineer on Ads Policy Infrastructure, you will provide hands-on technical leadership for the systems that define, govern, evaluate, and explain advertising ...
The Role As a Staff Distributed Systems Engineer on Ads Policy Infrastructure, you will provide hands-on technical leadership for the systems that define, govern, evaluate, and explain advertising ...
The Role As a Staff Distributed Systems Engineer on Ads Policy Infrastructure, you will provide hands-on technical leadership for the systems that define, govern, evaluate, and explain advertising ...
Software Engineer, Distributed Systems (Core)
Los Angeles, CA · Remote
$180K - $320K/yr
Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus ...
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Software Engineer, Distributed Systems (Core)
Los Angeles, CA · Remote
$180K - $320K/yr
Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus ...
Distributed Systems Engineer 6 - Decisioning & Optimization
Los Angeles, CA · On-site
$112K - $154K/yr
... engineering team sits within the Ad Serving & Decisioning at Netflix Ads. We own the systems that ... distributed systems and backend services at large scale; 3+ years in the ads domain Deep experience ...
Distributed Systems Engineer 6 - Decisioning & Optimization
Los Angeles, CA · On-site
$112K - $154K/yr
... engineering team sits within the Ad Serving & Decisioning at Netflix Ads. We own the systems that ... distributed systems and backend services at large scale; 3+ years in the ads domain Deep experience ...
Distributed Systems Engineer 6 - Decisioning & Optimization
Los Angeles, CA · On-site
$112K - $154K/yr
... engineering team sits within the Ad Serving & Decisioning at Netflix Ads. We own the systems that ... distributed systems and backend services at large scale; 3+ years in the ads domain * Deep ...
Distributed Systems Engineer 6 - Decisioning & Optimization
Los Angeles, CA · On-site
$112K - $154K/yr
... engineering team sits within the Ad Serving & Decisioning at Netflix Ads. We own the systems that ... distributed systems and backend services at large scale; 3+ years in the ads domain * Deep ...
The Quality Systems Engineer Intern will support the Quality Engineering team in maintaining and improving the Quality Management System (QMS). The intern will assist with process improvements ...
The Quality Systems Engineer Intern will support the Quality Engineering team in maintaining and improving the Quality Management System (QMS). The intern will assist with process improvements ...
Our Team The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix ...
Our Team The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix ...
You are a builder. You're comfortable navigating complex distributed systems, identifying ... and engineering teams Nice To Haves Experience working in the CTV space and familiarity with its ...
You are a builder. You're comfortable navigating complex distributed systems, identifying ... and engineering teams Nice To Haves Experience working in the CTV space and familiarity with its ...
Our Team The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix ...
Our Team The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem. We use a number of Netflix ...
You are a builder. You're comfortable navigating complex distributed systems, identifying ... engineering teams. Nice To Haves * Experience working in the CTV space and familiarity with its ...
You are a builder. You're comfortable navigating complex distributed systems, identifying ... engineering teams. Nice To Haves * Experience working in the CTV space and familiarity with its ...
Power Systems Engineer
Irvine, CA · On-site
$65 - $108/hr
Job Title Power System Engineer Job Location: Irvine, CA Job Type: Full-time / Hybrid Position ... Proficiency in modeling for transmission and distribution power systems * Perform power flow, short ...
Power Systems Engineer
Irvine, CA · On-site
$65 - $108/hr
Job Title Power System Engineer Job Location: Irvine, CA Job Type: Full-time / Hybrid Position ... Proficiency in modeling for transmission and distribution power systems * Perform power flow, short ...
Senior Systems Engineer
Long Beach, CA · On-site
$109K - $150K/yr
The Systems Engineering team ensures that Terran R comes together as a cohesive, high-performing ... Proven ability to work with intern IT and Dev Ops teams to create tools * At least 1 full life ...
Senior Systems Engineer
Long Beach, CA · On-site
$109K - $150K/yr
The Systems Engineering team ensures that Terran R comes together as a cohesive, high-performing ... Proven ability to work with intern IT and Dev Ops teams to create tools * At least 1 full life ...
Power Systems Engineer
Irvine, CA · On-site
Power System Engineer Job Location: Irvine, CA Job Type: Full-time / Hybrid Position Summary ETAP ... Proficiency in modeling for transmission and distribution power systems * Perform power flow, short ...
Power Systems Engineer
Irvine, CA · On-site
Power System Engineer Job Location: Irvine, CA Job Type: Full-time / Hybrid Position Summary ETAP ... Proficiency in modeling for transmission and distribution power systems * Perform power flow, short ...
Power System Engineer Job Location: Irvine, CA Job Type: Full-time / Hybrid Position Summary ETAP ... Proficiency in modeling for transmission and distribution power systems * Perform power flow, short ...
Power System Engineer Job Location: Irvine, CA Job Type: Full-time / Hybrid Position Summary ETAP ... Proficiency in modeling for transmission and distribution power systems * Perform power flow, short ...
Flight Systems Engineer
Los Angeles, CA · On-site
$118K - $238K/yr
... distributed systems across the ES-30 aircraft. You'll collaborate with cross-functional teams to ... software, electrical, mechanical, and safety engineers. * Lead in-vehicle debugging ...
Flight Systems Engineer
Los Angeles, CA · On-site
$118K - $238K/yr
... distributed systems across the ES-30 aircraft. You'll collaborate with cross-functional teams to ... software, electrical, mechanical, and safety engineers. * Lead in-vehicle debugging ...
Intern Distributed Systems Engineer information
See La Mirada, CA salary details
$11.16 - $12.86
2% of jobs
$12.86 - $14.56
4% of jobs
$16.25 is the 25th percentile. Wages below this are outliers.
$14.56 - $16.25
19% of jobs
$16.25 - $17.95
24% of jobs
The median wage is $18.06 / hr.
$17.95 - $19.65
17% of jobs
$20.67 is the 75th percentile. Wages above this are outliers.
$19.65 - $21.35
16% of jobs
$21.35 - $23.05
6% of jobs
$23.05 - $24.74
5% of jobs
$24.74 - $26.44
3% of jobs
$26.44 - $28.14
3% of jobs
$28.14 - $29.84
1% of jobs
$11
$19
$29
How much do intern distributed systems engineer jobs pay per hour?
As of Aug 22, 2026, the average hourly pay for intern distributed systems engineer in La Mirada, CA is $19.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.11 per hour, depending on experience, location, and employer.
What does an intern distributed systems engineer do?
An Intern Distributed Systems Engineer assists in designing, developing, and maintaining large-scale distributed systems that enable applications to run reliably across multiple computers. Their work often involves writing and testing code, debugging issues, and collaborating with experienced engineers to solve technical challenges related to scalability, efficiency, and data consistency. Interns may also help with system monitoring and performance analysis, learning best practices for building robust and fault-tolerant systems. This role is a valuable opportunity to gain hands-on experience with cutting-edge technologies and real-world distributed computing problems.
What are the key skills and qualifications needed to thrive as an intern distributed systems engineer?
To thrive as an Intern Distributed Systems Engineer, you typically need a strong background in computer science fundamentals, programming (often in languages like Java, C++, or Go), and an understanding of distributed computing concepts. Familiarity with technical tools such as Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), and version control systems like Git is commonly expected. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills and qualities are crucial for solving complex distributed problems, collaborating with teams, and adapting to rapidly evolving technology environments.
What types of projects and tasks can an intern distributed systems engineer expect to work on?
As an Intern Distributed Systems Engineer, you can expect to work on collaborative projects involving the design, implementation, and testing of scalable, fault-tolerant systems. Your tasks may include optimizing data pipelines, contributing to microservices architecture, or participating in performance benchmarking. Interns often work closely with senior engineers, gaining exposure to cutting-edge technologies such as cloud platforms, container orchestration, and distributed databases. This hands-on experience, combined with mentorship and code reviews, provides valuable insights into best practices and industry standards, supporting both your technical and professional growth.
What is the difference between Intern Distributed Systems Engineer vs Intern Software Engineer?
| Aspect | Intern Distributed Systems Engineer | Intern Software Engineer |
|---|---|---|
| Required Credentials | Typically pursuing a degree in Computer Science or related field, familiarity with distributed systems concepts | Similar educational background, focus on general software development skills |
| Work Environment | Focus on designing, implementing, and testing distributed systems and networked applications | Developing various software applications, often in different domains |
| Employer & Industry Usage | Used in tech companies working on cloud, big data, or scalable systems | Common across many industries including tech, finance, and startups |
| Search & Comparison Intent | People comparing internship roles in distributed systems and software development |
Intern Distributed Systems Engineers focus on distributed architectures and networked systems, while Intern Software Engineers work on a broader range of software projects. Both roles require similar educational backgrounds but differ in specific technical focus and project types.
What are popular job titles related to Intern Distributed Systems Engineer jobs in La Mirada, CA?
For Intern Distributed Systems Engineer jobs in La Mirada, CA, the most frequently searched job titles are:
What job categories do people searching Intern Distributed Systems Engineer jobs in La Mirada, CA look for?
The top searched job categories for Intern Distributed Systems Engineer jobs in La Mirada, CA are:
What cities near La Mirada, CA are hiring for Intern Distributed Systems Engineer jobs?
Cities near La Mirada, CA with the most Intern Distributed Systems Engineer job openings:
Full-time
Re-posted 25 days ago
Job description
Job Summary:
FieldAI is a company that specializes in building reliable, field-ready AI systems for robotics. They are seeking a Senior / Staff ML Systems Engineer to architect and build distributed infrastructure for large-scale machine learning workflows, focusing on scalable systems that support data processing and model training.
Responsibilities:
• Design and build scalable distributed machine learning pipelines across data processing, model training, evaluation, and post-processing workflows.
• Architect distributed execution systems, including parallelization strategies, workload scheduling, resource allocation, and fault tolerance mechanisms.
• Develop reusable abstractions, frameworks, and libraries that simplify distributed pipeline development.
• Optimize performance across distributed CPU and GPU environments, improving throughput, utilization, and reliability.
• Design systems that effectively manage data partitioning, memory utilization, serialization overhead, and compute efficiency.
• Partner closely with ML engineers, data engineers, and infrastructure teams to productionize research workflows and enable large-scale model development.
• Establish best practices and engineering standards for distributed machine learning infrastructure.
• Evaluate and guide decisions around distributed computing frameworks, infrastructure technologies, and system design trade-offs.
• Improve observability, debugging, monitoring, and operational tooling for distributed systems at scale.
Qualifications:
Required:
• 5+ years of experience building distributed systems, backend infrastructure, machine learning platforms, or large-scale data processing systems.
• Strong Python programming skills, including experience with concurrency, performance optimization, and systems development.
• Experience with distributed computing frameworks such as Ray, Spark, Dask, Flink, or similar technologies.
• Experience designing and scaling data pipelines or machine learning workflows.
• Strong system design skills with demonstrated expertise in scalability, reliability, and performance optimization.
• Experience diagnosing and resolving bottlenecks in distributed environments.
• Ability to work cross-functionally and drive technical decisions across multiple teams.
Preferred:
• Experience building infrastructure for machine learning training and inference systems.
• Familiarity with modern ML frameworks such as PyTorch or TensorFlow.
• Experience with multi-node or multi-GPU training architectures, including DDP, FSDP, DeepSpeed, or similar technologies.
• Experience operating Kubernetes-based infrastructure and large-scale cloud systems.
• Deep understanding of distributed systems concepts including data locality, serialization costs, scheduling, and resource management.
• Experience with distributed debugging, observability, and workflow orchestration platforms.
• Proven ability to establish technical direction and influence architecture across organizations.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.
FieldAI is a company that specializes in building reliable, field-ready AI systems for robotics. They are seeking a Senior / Staff ML Systems Engineer to architect and build distributed infrastructure for large-scale machine learning workflows, focusing on scalable systems that support data processing and model training.
Responsibilities:
• Design and build scalable distributed machine learning pipelines across data processing, model training, evaluation, and post-processing workflows.
• Architect distributed execution systems, including parallelization strategies, workload scheduling, resource allocation, and fault tolerance mechanisms.
• Develop reusable abstractions, frameworks, and libraries that simplify distributed pipeline development.
• Optimize performance across distributed CPU and GPU environments, improving throughput, utilization, and reliability.
• Design systems that effectively manage data partitioning, memory utilization, serialization overhead, and compute efficiency.
• Partner closely with ML engineers, data engineers, and infrastructure teams to productionize research workflows and enable large-scale model development.
• Establish best practices and engineering standards for distributed machine learning infrastructure.
• Evaluate and guide decisions around distributed computing frameworks, infrastructure technologies, and system design trade-offs.
• Improve observability, debugging, monitoring, and operational tooling for distributed systems at scale.
Qualifications:
Required:
• 5+ years of experience building distributed systems, backend infrastructure, machine learning platforms, or large-scale data processing systems.
• Strong Python programming skills, including experience with concurrency, performance optimization, and systems development.
• Experience with distributed computing frameworks such as Ray, Spark, Dask, Flink, or similar technologies.
• Experience designing and scaling data pipelines or machine learning workflows.
• Strong system design skills with demonstrated expertise in scalability, reliability, and performance optimization.
• Experience diagnosing and resolving bottlenecks in distributed environments.
• Ability to work cross-functionally and drive technical decisions across multiple teams.
Preferred:
• Experience building infrastructure for machine learning training and inference systems.
• Familiarity with modern ML frameworks such as PyTorch or TensorFlow.
• Experience with multi-node or multi-GPU training architectures, including DDP, FSDP, DeepSpeed, or similar technologies.
• Experience operating Kubernetes-based infrastructure and large-scale cloud systems.
• Deep understanding of distributed systems concepts including data locality, serialization costs, scheduling, and resource management.
• Experience with distributed debugging, observability, and workflow orchestration platforms.
• Proven ability to establish technical direction and influence architecture across organizations.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.