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Part Time Remote Embedded Software Jobs in Richardson, TX

Orlando Health

Finance Manager

Arlington, TX · Remote

$145K - $165K/yr

Proficiency in Microsoft Office and accounting/financial software. * Strong organizational and time ... Ability to work independently while collaborating effectively with remote teams. * Comfortable ...

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All JobsEmbedded Software JobsPart Time Remote Embedded Software JobsPart Time Remote Embedded Software Jobs in Richardson, TX

Part Time Remote Embedded Software information

See Richardson, TX salary details

$63.6K

$139.3K

$158K

How much do part time remote embedded software jobs pay per year?

As of Sep 2, 2026, the average yearly pay for part time remote embedded software in Richardson, TX is $139,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $157,100.00 per year, depending on experience, location, and employer.

What is a part time remote embedded software engineer?

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?

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.

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.

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Part Time Remote Embedded Software jobs near you

Principal Fuel Systems Engineer - X-BAT (R4640)

Shield AI

Dallas, TX • On-site, Remote

$209K - $313K/yr

Full-time, Part-time

Re-posted yesterday

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Shield AI is seeking a Principal Fuel Systems Engineer to lead architecture, development, and validation of fuel systems for advanced AI-powered aircraft. In this role, you’ll own the full lifecycle of fuel system design—from concept through flight testing—while mentoring others and driving technical excellence across our growing air vehicle portfolio.
 
You’ll tackle high-impact challenges: enabling efficient long-endurance flight, optimizing aircraft center of gravity, and developing robust, certifiable systems that perform flawlessly in extreme conditions.
 
On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement may be considered with up to 25% travel.
What you will do in this role:
  • Architect end-to-end fuel systems including storage, transfer, venting, and pressurization for next-gen autonomous aircraft.
  • Lead cross-functional integration between propulsion, structures, avionics, and thermal teams to ensure optimal system performance.
  • Conduct system-level modeling and analysis to predict flow behavior, vapor suppression, slosh dynamics, and thermal effects.
  • Define performance requirements and verification strategies for high-reliability components and assemblies.
  • Lead design reviews, technical trade studies, and risk assessments for critical systems.
  • Oversee supplier selection, qualification, and acceptance testing for pumps, valves, tanks, and sensors.
  • Support and guide ground and flight test campaigns; perform root-cause analysis for system anomalies.
  • Mentor engineers, establish best practices, and develop processes for system integration and testing.
  • Contribute to long-term technology roadmaps, including hybrid-electric and alternative fuel system architectures.
Required qualifications:
  • B.S. or M.S. in Aerospace, Mechanical, or related engineering discipline.
  • 12–15+ years of experience in aircraft fuel systems, aerospace fluids, or propulsion integration.
  • Demonstrated expertise with fuel system design, analysis, and certification for manned or unmanned aircraft.
  • Deep understanding of fluid mechanics, thermodynamics, and CFD principles.
  • Proficiency with analysis and modeling tools (ANSYS Fluent, OpenFOAM, MATLAB/Simulink) and CAD software (NX, CATIA, or SolidWorks).
  • Strong technical leadership and mentoring experience within multidisciplinary teams.
  • Familiarity with FAA and MIL-STD certification requirements and validation testing.
  • U.S. Citizenship required.
  • For remote candidates - ability to travel up to 25%.
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Experience with UAV, fighter, or ISR platform development.
  • Proven success leading complex fuel system programs from concept through flight test.
  • Knowledge of advanced or low-observable fuel system technologies, vapor suppression, and hybrid-electric integration.
  • Active or previous security clearance.
#LI-JM2
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.