2

Part Time Software Engineer Jobs in Vista, CA (NOW HIRING)

Senior Component Engineer

San Diego, CA · On-site

$140K - $210K/yr

Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Staff Structural Engineer

San Diego, CA · Hybrid

$85K - $125K/yr

Strong technical software skills related to: RISA, ETABS, BIM tools, Revit, AutoCAD Effective ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

Showing results 41-60

Part Time Software Engineer information

See Vista, CA salary details

$64.9K

$150.8K

$210.1K

How much do part time software engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for part time software engineer in Vista, CA is $150,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,700.00 and $176,800.00 per year, depending on experience, location, and employer.

What is a part time software engineer?

A Part Time Software Engineer is a professional who develops, tests, and maintains software applications but works fewer hours than a standard full-time employee, typically less than 40 hours per week. These engineers may work on specific projects, support development teams, or contribute to ongoing maintenance and updates. Part time roles are often flexible and can be ideal for students, parents, or those seeking work-life balance. Their responsibilities are similar to full-time engineers, but they may have a narrower scope or fewer simultaneous projects.

What are part-time jobs for software engineers?

A part-time software engineer tests, plans, and writes code for software, applications, and computer systems. As a part-time employee, you work fewer than 35 hours per week, and your duties may vary according to the type of projects on which you work. You may specialize in working with a specific computer language or developing and testing software and development methodologies for a particular system. Your responsibilities can also include determining how to deploy and configure existing software and application tools to meet the needs of a company or organization.

What are the key skills and qualifications needed to thrive as a part time software engineer?

To thrive as a Part Time Software Engineer, you need a solid understanding of programming languages (such as Python, Java, or JavaScript), software development methodologies, and typically a degree in computer science or related experience. Familiarity with version control systems like Git, cloud platforms, and development frameworks is often required, as well as experience with code collaboration tools. Strong problem-solving skills, time management, and effective communication are crucial soft skills for balancing workloads and collaborating with teams on a flexible schedule. These competencies ensure that part-time engineers can deliver high-quality code, integrate seamlessly with ongoing projects, and contribute meaningfully within limited hours.

How do part-time software engineers typically balance project deadlines with reduced working hours?

Part-time software engineers often work closely with their teams to set realistic expectations and prioritize tasks that align with their available hours. Effective communication and time management are essential, as engineers may need to focus on well-defined deliverables and leverage tools for asynchronous collaboration. Many organizations support part-time schedules with flexible workflows and regular check-ins to ensure everyone stays aligned, making it possible to contribute meaningfully without being overwhelmed by deadlines.

What is the difference between Part Time Software Engineer vs Full Time Software Engineer?

AspectPart Time Software EngineerFull Time Software Engineer
Work HoursLess than 30 hours/week40 hours/week or more
CredentialsTypically same as full-time, including relevant degrees and experienceSame as part-time, often with more extensive experience
Work EnvironmentFlexible, often remote or freelanceOffice or remote, full-time employment
Employer UsageUsed by startups, freelancers, or part-time projectsUsed by companies for full-time roles and long-term projects

The main difference between a Part Time Software Engineer and a Full Time Software Engineer lies in work hours and employment commitment. Part time roles offer flexibility and fewer hours, suitable for freelancers or those balancing other commitments. Full time roles involve standard work hours and often include benefits and long-term employment stability.

What are the most commonly searched types of Software Engineer jobs in Vista, CA?

The most popular types of Software Engineer jobs in Vista, CA are:

What cities near Vista, CA are hiring for Part Time Software Engineer jobs?

Cities near Vista, CA with the most Part Time Software Engineer job openings:

Infographic showing various Part Time Software Engineer job openings in Vista, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $150,799 per year, or $72.5 per hour.

Senior Staff Engineer, GCS / Communications Systems (R5020)

Shield AI

San Diego, CA

Full-time, Part-time

Re-posted 13 days ago


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:

We are seeking a GCS / Communications Systems Engineer to lead the development, integration, and validation of ground control station and communication architectures supporting advanced military aircraft and autonomous systems. This role directly impacts mission effectiveness, command and control reliability, platform connectivity, and operational resiliency by ensuring robust communication between air, ground, and distributed mission systems.

The engineer will define system behaviors, operational workflows, and communication architectures across the full lifecycle, from concept development through flight and operational test. This role plays a critical part in reducing integration risk, improving network resiliency, and accelerating deployment of mission-critical communication capabilities.

What you'll do:
  • Define GCS and communication system behaviors, operational workflows, and activity diagrams to ensure reliable command, control, telemetry, payload, and mission data exchange
  • Develop and integrate communication architectures including RF links, SATCOM, LOS/BLOS datalinks, networking infrastructure, antennas, encryption devices, and mission control interfaces
  • Lead cross-functional integration between avionics, mission systems, networking, cybersecurity, software, and test teams to improve system interoperability and reduce integration risk
  • Develop and validate interface definitions, network architectures, link budgets, and communication performance requirements for airborne and ground-based systems
  • Support lab, field, and flight test activities to troubleshoot communication issues, validate network performance, and improve operational resiliency and mission readiness
Required qualifications:
  • Bachelor’s degree in Electrical Engineering, Aerospace Engineering, Systems Engineering, Computer Engineering, or related technical field
  • 5+ years of experience in communications systems, networking, mission systems, or military aerospace integration
  • Experience with GCS architectures, datalinks, RF systems, networking, or airborne communication systems
  • Familiarity with LOS/BLOS communications, SATCOM, IP networking, encryption technologies, and hardware/software integration environments
  • Strong systems engineering, troubleshooting, and cross-functional communication skills
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Experience supporting UAV, fighter aircraft, autonomous systems, or military communication networks
  • Experience defining operational behaviors, activity diagrams, CONOPS, or system architectures using MBSE tools such as Cameo Systems Modeler
  • Background in integration labs, flight test, network resiliency, or tactical communication systems
  • Familiarity with cybersecurity, RMF, resilient communications, and contested environment operations
  • Active Secret or Top Secret clearance preferred
Compensation for this role is based on the position’s work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. 
 
 
#LI-AD6
#LE
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.
 
###
 
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.