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Internal Developer Tools Software Engineer Jobs in Long Beach, CA

Senior Software Engineer

Burbank, CA · On-site +1

$124K - $186K/yr

This is not an "in test" role - you will be building production systems, internal platforms, and ... Key Responsibilities Architect and implement AIdriven services, microplatforms, and developer tools ...

Software Engineer II

Glendale, CA · On-site

$103K - $141K/yr

The ideal candidate can build, debug, learn quickly, use AI developer tools effectively, and ... Connect conversational AI workflows with backend services, web applications, and internal tools

Software Engineer

Burbank, CA · On-site +1

$110K - $165K/yr

Software Engineer - AI Tooling & Quality Engineering Platforms Team : Global Quality Engineering ... Key Responsibilities Build backend services, CLIs, and internal tools that integrate AI ...

Showing results 41-60

Internal Developer Tools Software Engineer information

See Long Beach, CA salary details

$31K

$105.4K

$253.9K

How much do internal developer tools software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for internal developer tools software engineer in Long Beach, CA is $105,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $111,500.00 per year, depending on experience, location, and employer.

How do internal developer tools software engineers typically interact with other development teams within the company?

Internal Developer Tools Software Engineers work closely with a variety of engineering teams to understand their workflows, gather feedback, and identify pain points in the development process. Communication is key, as these engineers often facilitate onboarding, provide training for new tools, and respond to support requests. Collaboration usually involves participating in cross-team meetings, collecting requirements, and iterating on tools based on real-world usage. This close partnership ensures that the tools developed genuinely improve productivity and address the practical needs of their colleagues.

What is the difference between Internal Developer Tools Software Engineer vs Software Engineer?

AspectInternal Developer Tools Software EngineerSoftware Engineer
Primary FocusDeveloping and maintaining internal tools to improve developer productivityBuilding applications, systems, or features for end-users or clients
Work EnvironmentTypically within tech companies, collaborating with internal teamsVaries across industries, often with direct customer interaction
Required SkillsStrong programming, understanding of developer workflows, internal tool developmentBroad software development skills, depending on domain
Industry UsagePrimarily in tech companies, startups, and large enterprises with internal toolsAcross all industries including tech, finance, healthcare, etc.

In summary, Internal Developer Tools Software Engineers focus on creating tools that enhance internal developer efficiency, whereas Software Engineers develop a wide range of applications for external users. Both roles require strong programming skills but differ in their primary objectives and work environments.

What is an internal developer tools software engineer?

Internal Developer Tools Software Engineers are specialists who design, build, and maintain software tools that improve the productivity of other developers within an organization. Their work often includes creating build systems, continuous integration pipelines, testing frameworks, and deployment tools. These engineers collaborate closely with development teams to understand their workflows and challenges, then develop solutions that streamline processes, reduce manual work, and enhance code quality. By focusing on internal tooling, they help the whole engineering organization move faster and deliver higher-quality products.

What are the key skills and qualifications needed to thrive as an internal developer tools software engineer, and why are they important?

To thrive as an Internal Developer Tools Software Engineer, you need strong programming skills (often in languages like Python, Java, or Go), expertise in software development processes, and experience with building scalable infrastructure, typically supported by a degree in computer science or related field. Familiarity with CI/CD systems, containerization tools (like Docker and Kubernetes), version control (such as Git), and cloud platforms is usually required. Excellent problem-solving abilities, collaboration, and proactive communication are vital soft skills in this role. These skills and qualities are essential for designing efficient tools that improve developer productivity, streamline workflows, and support organizational engineering goals.
What are popular job titles related to Internal Developer Tools Software Engineer jobs in Long Beach, CA? For Internal Developer Tools Software Engineer jobs in Long Beach, CA, the most frequently searched job titles are:
What job categories do people searching Internal Developer Tools Software Engineer jobs in Long Beach, CA look for? The top searched job categories for Internal Developer Tools Software Engineer jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Internal Developer Tools Software Engineer jobs? Cities near Long Beach, CA with the most Internal Developer Tools Software Engineer job openings:
Infographic showing various Internal Developer Tools Software Engineer job openings in Long Beach, CA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $105,427 per year, or $50.7 per hour.

AI Software Engineer (Vehicle Engineering)

SpaceX

Hawthorne, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies


Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
AI SOFTWARE ENGINEER (VEHICLE ENGINEERING)
Be a member of the Artificial Intelligence Software Engineering team focusing on solving complex AI data problems for our launch vehicles and spacecrafts.
Our team is creating AI systems to accelerate software development and test, avionics design, flight data review, logistics and mission operations. Your work will directly support the world's largest satellite communication and AI constellations, accelerate rapid reuse of the Falcon launch vehicle, and contribute to the development of the world's largest rocket capable of sending humans to Mars.
The role will consist developing core AI technologies to accelerate engineering. You will be responsible for training internal engineering models on SpaceX data. This will consist of training models from scratch, fine tuning models, and using Reinforcement Learning (RL) to post train LLMs. You will also employ other Machine Learning (ML) techniques to intelligently extract knowledge hidden from SpaceX data. You will also be responsible for working with a diverse set of AI technologies including building Agentic engineering tools, including engineering RAG based tool, and engineering MCP servers. The AI tools and models will used to help engineers rapidly design and test space hardware including electronics and propulsion systems. The team will work closely with engineers throughout the company to create new AI systems to unlock engineering bottlenecks and transform how engineering data is accessed and used at SpaceX.
Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission. You will have full ownership of challenging problems and work with a team of enthusiastic engineers to design and produce AI solutions that enable SpaceX to move towards our goals at a rapid pace.
RESPONSIBILITIES:
  • Design and train highly reliable, scalable AI/ML models that empower engineers across all SpaceX departments
  • Design agentic AI systems and multi-agent workflows to perform engineering tasks
  • Build and optimize large-scale machine learning training pipelines to create next-generation AI applications that transform day-to-day engineering operations
  • Develop and fine-tune foundation models (LLMs, vision models, multimodal systems) for high-impact SpaceX use cases
  • Create production-grade AI tools for data analysis, anomaly detection, predictive modeling, and automated decision-making
  • Collaborate with peers on AI architecture, model design, training strategies, and code reviews
  • Rapidly build and iterate on AI prototypes, rigorously quantifying model performance, accuracy, and technical constraints
  • Own the complete AI model lifecycle - from data preparation and training infrastructure to deployment, monitoring, and continuous improvement
  • Deep-dive into complex engineering problems to identify and implement efficient, custom-trained AI solutions
  • Establish rigorous AI standards for model validation, safety, reliability, bias mitigation, and data security
  • Ensure all AI systems undergo thorough testing and validation to deliver accurate, trustworthy, and production-ready outputs

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building and training AI/ML systems in lieu of a degree
  • 1+ years of experience in AI software engineering with a focus on model training, fine-tuning, and machine learning systems
  • 1+ years of programming experience in Python

PREFERRED SKILLS AND EXPERIENCE:
  • Expert understanding of LLM transformer architectures and training procedure including pre-training, supervised fine tuning, and reinforcement learning.
  • Demonstrated experience training and fine-tuning large language models (LLMs) and other foundation models at scale
  • Proven track record training and optimizing machine learning models for computer vision (object detection, segmentation, 3D reconstruction, etc.)
  • Deep expertise with modern ML frameworks: PyTorch, TensorFlow, JAX, or equivalent
  • Experience designing and running large-scale ML training pipelines, including distributed training on GPU clusters, hyperparameter optimization, and experiment tracking
  • Strong understanding of MLOps best practices: model versioning, experiment management (MLflow, Weights & Biases, etc.), CI/CD for ML, and automated retraining
  • Strong foundation in statistics, machine learning theory, deep learning architectures, optimization algorithms, and model evaluation
  • Proficiency developing on Linux systems
  • Solid understanding of version control (Git), testing, continuous integration, deployment, and monitoring for ML systems
  • Experience building complexagentic AI systems and multi-agent workflows
  • Experience with data infrastructure for training: relational databases (PostgreSQL), non-relational databases, data lakes, and feature stores (vector databases are a plus)
  • Experience deploying containerized applications using Docker and Kubernetes

ADDITIONAL REQUIREMENTS:
  • Willing to work extended hours and weekends as needed

COMPENSATION AND BENEFITS:
Pay Range:
AI Software Engineer/Level I: $125,000.00 - $145,000.00/per year
AI Software Engineer/Level II: $145,000.00 - $175,000.00/per year
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US