2

Remote Computer Engineering Jobs in New Jersey (NOW HIRING)

Hoboken, NJ or Remote with Travel Division : Revenue Department: Customer Success About Us: Quantum ... Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, Information ...

next page

Showing results 1-20

Remote Computer Engineering information

How to make $100,000 a year working from home?

Remote computer engineers can earn $100,000 or more annually by gaining specialized skills in high-demand areas such as cybersecurity, cloud computing, or software development, and obtaining relevant certifications. Building a strong portfolio, gaining experience, and working for established companies or freelancing can also increase earning potential while working from home.

What engineers make $500,000?

Senior computer engineers, especially those in specialized fields like software architecture, machine learning, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or companies, often in leadership or highly technical roles.

What engineers make $300,000 a year?

Senior software engineers, especially those working in high-demand fields like cloud computing, AI, or cybersecurity, can earn $300,000 or more annually, often with bonuses and stock options. Specialized roles such as hardware engineers or engineering managers in large tech companies may also reach this compensation level, particularly with extensive experience and advanced skills.

Can a Computer Engineer work remotely?

Yes, many computer engineering roles can be performed remotely, especially those involving software development, system design, and troubleshooting. Remote work often requires strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or security clearances depending on the employer.

How do remote computer engineers typically collaborate with team members across different time zones?

Remote computer engineers often work with colleagues located in various parts of the world, which requires effective communication and collaboration tools. Teams usually rely on project management platforms, version control systems, and regular video meetings to stay aligned. Clear documentation, asynchronous communication, and flexible schedules help ensure that everyone can contribute efficiently, even when working hours don't fully overlap. Adapting to this environment can be challenging at first, but it fosters strong communication skills and autonomy.

What are the key skills and qualifications needed to thrive as a Remote Computer Engineer, and why are they important?

To thrive as a Remote Computer Engineer, you need a strong background in computer science, software development, and problem-solving, usually supported by a relevant degree or equivalent experience. Familiarity with programming languages, version control systems like Git, and cloud platforms such as AWS or Azure is typically required, alongside certifications like CompTIA or AWS Certified Solutions Architect. Excellent communication, self-motivation, and time management are essential soft skills for effective remote collaboration and productivity. These skills and qualities are crucial for delivering high-quality technical solutions while working independently in distributed teams.

What is the difference between Remote Computer Engineering vs Remote Software Development?

AspectRemote Computer EngineeringRemote Software Development
Required CredentialsBachelor's in Computer Engineering, certifications like Cisco CCNA or CompTIA Network+Bachelor's in Computer Science or Software Engineering, certifications like Microsoft Certified, AWS Developer
Work EnvironmentDesigning hardware, embedded systems, network infrastructure; often involves labs or on-site hardware testingWriting, testing, and deploying software applications; primarily computer-based work
Employer & Industry UsageTelecommunications, hardware manufacturing, embedded systems companiesTech companies, startups, software firms, IT services

Remote Computer Engineering focuses on hardware design, embedded systems, and network infrastructure, often requiring specialized certifications and hardware labs. In contrast, Remote Software Development centers on coding, testing, and deploying software applications, with a primary emphasis on programming skills and cloud certifications. Both roles are in high demand but serve different technical needs within the tech industry.

What is remote computer engineering?

Remote computer engineering refers to the practice of working as a computer engineer from a location outside of a traditional office, often from home or another remote setting. Remote computer engineers design, develop, test, and maintain computer hardware and software systems, collaborating with teams using digital communication tools. This role requires strong technical skills, self-motivation, and the ability to manage projects independently while staying connected with colleagues virtually. Remote positions are popular in the tech industry due to their flexibility and access to a global talent pool.
What are the most commonly searched types of Computer Engineering jobs in New Jersey? The most popular types of Computer Engineering jobs in New Jersey are:
What job categories do people searching Remote Computer Engineering jobs in New Jersey look for? The top searched job categories for Remote Computer Engineering jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Computer Engineering jobs? Cities in New Jersey with the most Remote Computer Engineering job openings:

Remote Machine Learning Engineer

Angenex

Jersey City, NJ • Remote

Other

Posted 16 days ago


Job description

Remote Machine Learning Engineer

Jersey City, NJ, United States

About the Job

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.