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Remote Software Engineer Jobs in Dover, NJ (NOW HIRING)

Angular Developer - Remote

Whippany, NJ ยท On-site +1

$55.50 - $68/hr

NAVA Software solutions is looking for an Angular Developer Details: Angular Developer Location: Whippany NJ / Remote is also ok Duration: 6-12 months What You Will Do: * Participate and contribute ...

Showing results 21-40

Remote Software Engineer information

See Dover, NJ salary details

$65.1K

$151.1K

$210.5K

How much do remote software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote software engineer in Dover, NJ is $151,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $177,200.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote software engineer?

Yes, many remote software engineer positions are available that allow professionals to work from anywhere with an internet connection. These roles often require proficiency in collaboration tools, version control systems, and strong communication skills. Remote work arrangements vary by employer, with some offering full-time remote options and others hybrid models.

What are some common challenges faced by remote software engineers, and how can they be effectively managed?

Remote software engineers often encounter challenges such as communication barriers, time zone differences, and maintaining work-life balance. These can be effectively managed by utilizing collaboration tools (like Slack or Zoom), setting clear expectations with team members, and establishing a dedicated workspace. Regular check-ins, asynchronous updates, and proactive communication help ensure everyone stays aligned on project goals. Building strong relationships with colleagues through virtual meetings and team-building activities can also foster a supportive remote work environment.

What are the key skills and qualifications needed to thrive as a remote software engineer, and why are they important?

To thrive as a Remote Software Engineer, you need strong programming skills, proficiency in software development methodologies, and typically a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms, and project management tools such as Jira is often required. Excellent communication, self-motivation, and time management are crucial soft skills for remote collaboration. These abilities ensure effective development, seamless teamwork, and productivity in a distributed work environment.

What does a remote software engineer do?

As a remote software engineer, you work from home to create and develop systems using programming languages and frameworks. As part of your duties, you design and install software solutions by determining specifications and developing code. You also improve software initiatives by reviewing systems and recommending solutions, often virtually guiding clients through the database, network, and computer processes. By collecting and analyzing issues, you can develop solutions for a variety of technical problems. The remote aspect of this job means you can work from anywhere with a reliable internet connection.

What is a remote software engineer?

Remote Software Engineers are professionals who design, develop, test, and maintain software applications from locations outside of a traditional office environment. They collaborate with teams and clients using digital communication tools, allowing for flexible work arrangements. Remote Software Engineers require strong technical and communication skills, as well as the ability to manage their own schedules and work independently. This role is ideal for individuals who are self-motivated and comfortable working in a virtual setting.

What is the difference between Remote Software Engineer vs Remote Web Developer?

AspectRemote Software EngineerRemote Web Developer
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, design, or related field, coding skills
Work EnvironmentCollaborates on software projects, often in teamsFocuses on website and web app development, often in teams
Employer & Industry UsageTech companies, startups, software firmsWeb agencies, tech companies, startups
Search & Comparison IntentOften compared for software development rolesRelated but more focused on web-specific tasks

Remote Software Engineers develop a wide range of software applications, while Remote Web Developers specialize in building websites and web-based applications. Both roles require similar technical skills and often work in similar environments, but their focus areas differ, making this comparison useful for those exploring career options or job opportunities in tech.

What are the most commonly searched types of Software Engineer jobs in Dover, NJ?

The most popular types of Software Engineer jobs in Dover, NJ are:

What are popular job titles related to Remote Software Engineer jobs in Dover, NJ?

For Remote Software Engineer jobs in Dover, NJ, the most frequently searched job titles are:

What cities near Dover, NJ are hiring for Remote Software Engineer jobs?

Cities near Dover, NJ with the most Remote Software Engineer job openings:

Infographic showing various Remote Software Engineer job openings in Dover, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $151,147 per year, or $72.7 per hour.

Sr. Lead Machine Learning Engineer/Remote

Apetan Consulting llc

Paterson, NJ โ€ข Remote

$80 - $150/hr

Contractor

Re-posted 11 hours ago


Job description

Sr. Lead Machine Learning EngineerLocation-RemoteJob Summary

The Sr. Lead Machine Learning Engineer is responsible for leading the design, development, deployment, and optimization of machine learning solutions that drive business value. This role combines technical expertise, strategic leadership, and cross-functional collaboration to build scalable AI/ML systems, mentor engineering teams, and guide the organization's machine learning initiatives.

Key Responsibilities
  • Lead the development and deployment of machine learning models and AI-driven solutions.
  • Design scalable ML architectures, pipelines, and production-ready systems.
  • Collaborate with data scientists, software engineers, product managers, and business stakeholders to define and deliver ML solutions.
  • Oversee data preparation, feature engineering, model training, evaluation, and monitoring processes.
  • Optimize model performance, scalability, reliability, and operational efficiency.
  • Establish best practices for MLOps, model governance, testing, and deployment.
  • Conduct code reviews and provide technical leadership and mentorship to engineering teams.
  • Evaluate emerging AI/ML technologies and recommend innovative solutions.
  • Ensure compliance with security, privacy, and responsible AI standards.
  • Support production systems by troubleshooting and resolving complex ML-related issues.
  • Drive technical roadmaps and contribute to strategic AI initiatives.
Required Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of software engineering experience, including 5+ years in machine learning engineering.
  • Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience building and deploying machine learning models in production environments.
  • Strong knowledge of data structures, algorithms, statistics, and machine learning techniques.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of MLOps tools, CI/CD pipelines, and model monitoring practices.
  • Excellent leadership, communication, and problem-solving skills.
Preferred Qualifications
  • Master’s degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • Experience with large-scale distributed systems and big data technologies.
  • Knowledge of Generative AI, Large Language Models (LLMs), NLP, computer vision, or recommendation systems.
  • Experience with Kubernetes, Docker, and cloud-native architectures.
  • Prior experience leading technical teams and enterprise AI initiatives.