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Amazon Software Engineer Part Time Jobs in California

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Amazon Software Engineer Part Time information

What does a part-time Amazon software engineer do?

A part-time Amazon Software Engineer is responsible for designing, developing, and maintaining software systems and applications, but with a reduced work schedule compared to full-time engineers. They collaborate with teams, write code, participate in code reviews, and help solve technical challenges, all while working fewer hours per week. This role is ideal for individuals seeking flexibility, such as students or those balancing other commitments, while still gaining valuable industry experience at Amazon.

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

To thrive as an Amazon Software Engineer (Part Time), you need strong programming skills (such as Java, Python, or C++), a solid grasp of computer science fundamentals, and a relevant degree or equivalent experience. Familiarity with Amazon Web Services (AWS), version control systems like Git, and agile development tools is typically required. Excellent problem-solving abilities, teamwork, and effective time management are standout soft skills, especially in a part-time capacity. These skills and qualities are crucial to efficiently deliver high-quality code, collaborate across teams, and contribute to scalable solutions within limited working hours.

How does a part-time Amazon software engineer typically collaborate with full-time team members and stay aligned on project goals?

As a part-time software engineer at Amazon, you will often work closely with full-time engineers through regular stand-up meetings, code reviews, and collaboration tools like Amazon Chime and Slack. Clear communication is key, as you may need to coordinate your hours and progress with the team to ensure seamless project development. You’ll also have access to documentation and project management platforms, which help keep everyone aligned on priorities and deadlines. While part-time schedules offer flexibility, proactive engagement and effective time management are essential for integrating successfully with your team and contributing to shared goals.

What is the difference between Amazon Software Engineer Part Time vs Amazon Software Engineer Intern?

AspectAmazon Software Engineer Part TimeAmazon Software Engineer Intern
CredentialsBachelor's degree in CS or related field, relevant experienceCurrently enrolled in or recent graduate of a CS or related program
Work EnvironmentFull-time or part-time professional role, ongoing projectsTemporary, internship program, learning-focused
Employer UsageRegular employee, contributing to ongoing product developmentIntern, gaining industry experience, supporting teams

Amazon Software Engineer Part Time roles are ongoing positions requiring relevant credentials and involve contributing to Amazon's projects. Intern roles are temporary, designed for students or recent graduates to gain experience. The main difference lies in employment status, responsibilities, and duration.

Is it hard to get a job at Amazon as a software engineer?

Getting a software engineer position at Amazon is competitive and typically requires strong technical skills, including proficiency in programming languages like Java or Python, and experience with data structures and algorithms. Candidates often go through multiple interview rounds assessing coding ability, problem-solving, and cultural fit. Having relevant experience, a solid portfolio, and preparation for technical interviews can improve chances of success.

What are the most commonly searched types of Amazon Software Engineer jobs in California?

The most popular types of Amazon Software Engineer jobs in California are:

What cities in California are hiring for Amazon Software Engineer Part Time jobs?

Cities in California with the most Amazon Software Engineer Part Time job openings:

Infographic showing various Amazon Software Engineer Part Time job openings in California as of June 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Temporary. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior Underwater Acoustics Physicist / Digital Signal Processing Engineer - Part Time - 26-028

AUSGAR Technologies Inc

San Diego, CA • On-site

$112K - $154K/yr

Full-time, Part-time

Posted 27 days ago


Job description

Description

JOB TYPE: FULL-TIME


MUST POSSESS A SECRET SECURITY CLEARANCE (PREFERRED) OR THE ABILITY TO OBTAIN ONE.


WE USE E-VERIFY TO ELECTRONICALLY CONFIRM THE EMPLOYMENT ELIGIBILITY OF NEWLY HIRED EMPLOYEES.


COMPETITIVE SALARY, COMPREHENSIVE BENEFITS AND A COMPANY THAT CARES! 


AUSGAR Technologies, Inc., an equal opportunity employer, is an established, Service-Disabled Veteran-Owned Small Business (SDVOSB) Department of Defense, government contractor with core competencies in Information Assurance, Cybersecurity and Systems Engineering. With offices on both the East and West coasts, an inviting culture and above-standard benefits, opportunity abounds for the right individual!


Senior Underwater Acoustics Physicist / Digital Signal Processing Engineer - 26-028 - San Diego, CA


As a growing Department of Defense Contractor, AUSGAR Technologies has an exciting opportunity for a Senior Underwater Acoustics Physicist / Digital Signal Processing Engineer to join our team of smart and innovative technical team members in the Point Loma area of San Diego.


We are seeking a highly experienced Senior Underwater Acoustics Physicist/Digital Signal Processing Engineer to support advanced underwater acoustic research, sonar system development and performance analysis for defense and naval applications. The ideal candidate will have extensive experience in signal processing, acoustic propagation modeling, statistical analysis, algorithm development and software engineering. This position requires expertise in analyzing complex acoustic datasets, developing innovative signal processing techniques, and supporting the design, evaluation, and optimization of underwater sensing systems.

  • Develop, implement and optimize advanced digital signal processing algorithms for underwater acoustic and SONAR applications.
  • Analyze and interpret large volumes of underwater acoustic data to characterize system performance and evaluate detection capabilities.
  • Design, implement and enhance conventional and adaptive beamforming algorithms for two-dimensional and three-dimensional array processing.
  • Develop and maintain DIFAR processing algorithms, visualization tools and associated analysis techniques.
  • Perform SONAR equation performance predictions and assess system effectiveness against specified target signals and operational scenarios.
  • Conduct acoustic propagation modeling using Bellhop and other propagation models to evaluate environmental effects on system performance.
  • Develop software applications and automated tools for acoustic data processing, visualization and analysis.
  • Design and execute Monte Carlo simulations to evaluate localization accuracy, detection probability and overall sensor performance.
  • Develop statistical models utilizing Gaussian, Rayleigh, Binomial and related probability distributions to support system performance assessments.
  • Design and implement automated detection algorithms for tonal, transient and broadband acoustic signals.
  • Develop simulation environments capable of generating realistic underwater acoustic scenarios, including environmental noise, multipath propagation and sensor array responses.
  • Perform filtering, frequency translation, decimation, correlation and spectral analysis of acoustic signals.
  • Support machine learning initiatives by evaluating regression and clustering techniques for acoustic data analysis and sensor optimization.
  • Document technical methodologies, software and analytical approaches while providing technical guidance and mentoring to engineering teams.
  • Collaborate with multidisciplinary teams to develop innovative solutions for complex underwater sensing and signal processing challenges.

Requirements

Required Qualifications:?? 

  • Possess a Secret security clearance (preferred) or the ability to obtain one.
  • Bachelor's degree in Physics, Electrical Engineering, Applied Mathematics, Computer Engineering or a related technical discipline from an accredited college or university.
  • 10+ years of experience in underwater acoustics, digital signal processing or sonar system development (20+ years preferred).
  • Strong understanding of underwater acoustic propagation, array processing and sonar performance analysis.
  • Experience developing signal processing algorithms using C and Python.
  • Experience with beamforming, DIFAR processing and acoustic array processing techniques.
  • Knowledge of SONAR equation analysis and performance prediction methodologies.
  • Experience with Bellhop or similar underwater acoustic propagation models.
  • Experience developing simulation and modeling tools using Monte Carlo techniques.
  • Strong statistical analysis skills with experience applying probability distributions to engineering problems.
  • Ability to analyze large datasets and present technical findings clearly. Excellent problem-solving, analytical and technical communication skills.

Preferred Qualifications:

  • Experience supporting U.S. Navy or Department of Defense underwater acoustic programs.
  • Experience with machine learning techniques for acoustic signal analysis.
  • Experience developing acoustic visualization and analysis software.
  • Knowledge of localization techniques including Time Difference of Arrival (TDOA).
  • Experience with acoustic array simulation and environmental modeling.
  • Familiarity with adaptive beamforming, detection theory and sensor performance optimization.

Salary Range: $150K-$165K


Based on your qualifications, you will be placed in Level I-V. 


An essential qualification for this position is successfully obtaining a security clearance issued by the Federal Government, which may require successful completion of a background check. 


We use E-Verify to electronically confirm the employment eligibility of newly hired employees.


AUSGAR's salary range is dependent upon a variety of factors, which include experience, skills, education, certifications and geographical location. Our salary range includes a base salary and excellent benefits package as part of our total compensation.


AUSGAR Technologies, Inc. is an equal opportunity employer. If you are a qualified individual with a disability or a disabled veteran

and need assistance in completing the application, you have the right to request reasonable accommodation. Please e-mail us at jobs@ausgar.com if you are unable or limited in your ability to use or access www.ausgar.com careers page as a result of your disability.