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Remote Android Engineer Jobs in Maryland (NOW HIRING)

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$22.3K

$133.8K

$187.8K

How much do remote android engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote android engineer in Maryland is $133,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,600.00 and $155,300.00 per year, depending on experience, location, and employer.

What are typical challenges faced by Remote Android Engineers and how can they be addressed?

Remote Android Engineers often face challenges such as staying aligned with distributed teams, managing asynchronous communication, and ensuring cohesive code integration across various contributors. Overcoming these challenges involves proactive communication, regular participation in virtual meetings, and utilizing project management tools to track progress and priorities. Engineers also benefit from establishing clear documentation and adhering to shared coding standards to maintain consistency. Building strong relationships with teammates and seeking regular feedback can make remote collaboration more effective and enjoyable.

What is a Remote Android Engineer job?

A Remote Android Engineer is a software developer who specializes in building and maintaining Android applications while working from a remote location. They are responsible for designing, coding, testing, and debugging mobile apps, often collaborating with teams through online communication tools. Their work includes improving app performance, implementing new features, and ensuring compatibility with various Android devices and versions. Remote Android Engineers typically use programming languages like Kotlin and Java, along with frameworks such as Jetpack Compose and Android SDK.

What are the key skills and qualifications needed to thrive in the Remote Android Engineer position, and why are they important?

To thrive as a Remote Android Engineer, you need a solid grasp of Java or Kotlin, experience with Android SDK, and familiarity with modern app architectures, typically backed by a degree in computer science or related field. Proficiency with version control systems like Git, automated testing frameworks, and commonly used tools such as Android Studio is essential, while certifications like Google Associate Android Developer are advantageous. Excellent communication, self-motivation, and time management skills distinguish top performers in distributed remote teams. These abilities ensure you can deliver high-quality mobile applications efficiently, collaborate effectively across time zones, and continuously adapt to evolving project requirements.

What are the most commonly searched types of Android Engineer jobs in Maryland? The most popular types of Android Engineer jobs in Maryland are:
What are popular job titles related to Remote Android Engineer jobs in Maryland? For Remote Android Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Android Engineer jobs in Maryland look for? The top searched job categories for Remote Android Engineer jobs in Maryland are:
What cities in Maryland are hiring for Remote Android Engineer jobs? Cities in Maryland with the most Remote Android Engineer job openings:
Remote Android Engineer jobs near you
Infographic showing various Remote Android Engineer job openings in Maryland as of June 2026, with employment types broken down into 79% Full Time, 3% Temporary, and 18% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $133,814 per year, or $64.3 per hour.

System Engineer - Machine Learning (ML) Integration and Optimization (AE2689523)

Advantage Engineering & IT Solutions Inc

Annapolis Junction, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

AEITS, Inc., a GTSC company, is growing its team! Seeking a System Engineer for Machine Learning (ML) Integration and Optimization to support our customer in the Annapolis Junction, MD area.

Location: Annapolis Junction, Maryland

All work is on-site. This is not a hybrid or remote position.

Mission: As a System Engineer for Machine Learning (ML) Integration and Optimization, you will be focused on testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

Requirements:

  • U.S. Citizenship
  • Active TS/SCI with polygraph
  • Fourteen (14) years of experience as a SE in programs and contracts of similar scope, type, and complexity is required.
  • Strong interpersonal, communications and writing skills.
  • Basic Linux skills required.

Desired Qualifications

  • Experience Testing Machine Learning Models.
  • Experience with Yolo
  • Experience with Python.
  • Experience with Wireshark or other protocol analyzer.
  • Knowledge of and experience with scripting languages to process automation.
  • Experience installing, monitoring, and optimizing Kubernetes clusters.
  • Familiarity / completion of Advanced Communications Signals Analysis Course (452), Intermediate Communications Signals Analysis Course (452).
  • Working knowledge of SONET/SDH/OTN, ETHERNET, PCM, VSAT, OSI Model and Computer to Computer (C2C) structure, and/or technologies/protocols such as: MPLS, VLAN, Pseudowire, TDMoIP, ATM, Frame Relay, Cisco, Nortel, TCP, UDP, VCAT, VOIP, VoFR and Voice/Video encoding.

You are responsible for:

  • Testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

BENEFITS - Full-time Employees

  • 401K with employer contribution. Fully vested at 1 year anniversary.
  • Five (5) weeks comprehensive annual leave (25 workdays).
  • Additional leave can be earned in lieu of overtime.
  • 11 Paid Federal Government Holidays.
  • Up to $5,000 annually for individually tailored education / training program.
  • All education plans must be pre-approved by Advantage Engineering management.
  • Life Insurance at 1x annual salary with employee option to purchase additional coverage for self and dependents.
  • Short-term and long-term disability.
  • We contribute a generous portion towards the cost of monthly medical plans for any of the three medical, 1 dental and 1 vision plan provided by CareFirst.
  • All employees are eligible to earn generous incentives and performance bonuses.

AEITS, a GTSC company, is proud to be an equal opportunity employer, committed to recruiting, hiring, and promoting qualified people of all backgrounds, regardless of sex, race, color, creed, national origin, religion, age, marital status, pregnancy, physical, mental or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law. Learn more about your EEO rights as an applicant.

GTSC is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. If you have a disability and require assistance with our online application process, please tell us how we can help by contacting us at Recruiting@GTSC.com

Note: This accessibility is intended for individuals requiring accommodation and should not be used to check the status of your application. Inquiries not specific to requesting accommodation will be discarded.

GTSC participates in the E-Verify program in all locations as required by law. Learn more about the E-Verify program.

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