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Part Time Remote Embedded Software Jobs in California

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0244165 Location: San Diego,CA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence

Test Engineer

San Diego, CA · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0244636 Location: San Diego,CA,US Share job via: Share Test Engineer The Opportunity: When a user tries new software, they expect it to be intuitive and run smoothly.

Showing results 21-40

Part Time Remote Embedded Software information

How do part-time remote embedded software engineers typically collaborate with hardware teams to ensure seamless integration?

Part-time remote embedded software engineers often use a mix of video conferencing, shared documentation platforms, and version control systems to closely collaborate with hardware teams. Regular check-ins and clear communication are crucial for aligning software development cycles with hardware prototyping and testing schedules. Despite the remote nature, being proactive in asking questions and sharing build updates helps prevent integration issues and ensures that software is optimized for the target hardware. Many teams also rely on simulation tools and remote access to test benches to facilitate hands-on collaboration even from a distance.

What are part time remote embedded software jobs?

Part time remote embedded software jobs involve developing, testing, and maintaining software that runs on embedded systems, such as microcontrollers or specialized hardware, while working fewer than full-time hours and from a remote location. Responsibilities typically include writing code in languages like C or C++, debugging embedded systems, and collaborating with team members online. These roles are popular among professionals seeking flexible work schedules or balancing other commitments. Companies may hire part time remote embedded software engineers for specific projects, ongoing maintenance, or to supplement in-house teams. Remote work requires strong communication skills and experience with collaborative development tools.

What are the key skills and qualifications needed to thrive as a Part Time Remote Embedded Software Engineer, and why are they important?

To thrive as a Part Time Remote Embedded Software Engineer, you need a solid understanding of embedded systems, C/C++ programming, and real-time operating systems, often backed by a degree in computer engineering or a related field. Familiarity with version control systems like Git, debugging tools, and microcontroller development kits is typically required. Excellent time management, problem-solving ability, and strong written communication are crucial for effective remote collaboration and project delivery. These skills ensure high-quality software development, efficient teamwork, and the ability to meet project goals independently in a remote environment.
What cities in California are hiring for Part Time Remote Embedded Software jobs? Cities in California with the most Part Time Remote Embedded Software job openings:
Infographic showing various Part Time Remote Embedded Software job openings in California as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Booz Allen Hamilton, Inc.

El Segundo, CA • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 7 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0244683
Location:
El Segundo,CA,US
Share job via:
Share
Machine Learning Engineer
The Opportunity:
As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to solve problems to support the U.S. Space Force under the U.S. Department of War. As an AI Solutions Engineer on our Defense Technology Group, you'll develop AI-native solutions incorporating multiple disciplines spanning across software development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerating the missions with AI tools.
In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit AI technologies and emerging AI-native processes or workflows. You'll grow within a talented team of machine learning engineers across the company and collaborate with full-stack software engineers, data scientists, solutions architects, and defense mission experts to deliver world-class solutions to deliver new software capabilities to our customers with high velocity. Your skills and technical experience will help your clients navigate the landscape of Agentic workflows, AI/ML algorithms, full-stack development, DevSecOps, tools, and frameworks.
Work with us to solve real-world challenges and define AI strategy for the U.S. Space Force.
Join us. The world can't wait.
You Have:
  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models
  • Experience with developing code using a common programming language, including Python
  • Experience with deep learning, computer vision, or generative AI
  • Experience with data handling and model development
  • Experience with leveraging AI productivity tools for coding, such as Cursor
  • Experience with the Agile software development lifecycle and full-stack web application development
  • Knowledge of JavaScript or TypeScript, Python, and HTML or CSS
  • Ability to solve complex and critical problems, iterate rapidly, and deliver results in both team and individual capacities
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with integration of LLMs and Agentic Workflows within software stacks
  • Experience with Rust, or Java
  • Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
  • Knowledge of AWS, Azure, GCP, Databricks, and Palantir Foundry

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914