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Remote Embedded Software Jobs in Clifton, NJ (NOW HIRING)

... Remote - NYCNo visa sponsorship available at this time.Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join ...

New

Remote (U.S. - EST working hours) Start Date Is: ASAP / Early July Duration: Permanent (FTE ... software engineering experience * Strong JavaScript and TypeScript development experience * Full ...

Software Engineer

New York, NY · On-site +1

$100K - $150K/yr

However, they are open to remote work for someone with a depth of experience architecting and ... Seeking a Senior Backend Software Engineer with experience in design, development, and support of ...

However, they are open to remote work for someone with a depth of experience architecting and ... Seeking a Senior Backend Software Engineer with experience in design, development, and support of ...

Senior Software Engineer

New York, NY · On-site +1

$180K - $250K/yr

You have significant experience building performant systems from scratch, such as databases, device drivers, or embedded systems. * You have excellent instincts for software architecture, memory ...

Senior Software Engineer

New York, NY · On-site +1

$180K - $250K/yr

You have significant experience building performant systems from scratch, such as databases, device drivers, or embedded systems. * You have excellent instincts for software architecture, memory ...

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction ... Strong software engineering fundamentals - you write clean, well-tested, production-ready code

Company We are building AI-powered EMR (workflow management) software for the fastest-growing group ... Remote-first work approach (with an open invite to our New York office) * Equity plan * Competitive ...

... embedded directly with customers to implement, customize, and scale the product in their ... software engineering role with direct client- or field-facing exposure (solutions engineering ...

... embedded directly with customers to implement, customize, and scale the product in their ... software engineering role with direct client- or field-facing exposure (solutions engineering ...

Showing results 41-60

Remote Embedded Software information

See Clifton, NJ salary details

$72K

$157.8K

$179K

How much do remote embedded software jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote embedded software in Clifton, NJ is $157,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,300.00 and $178,000.00 per year, depending on experience, location, and employer.

What is a remote embedded software engineer?

A remote embedded software engineer is a professional who designs, develops, tests, and maintains software that runs on embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. These engineers typically collaborate with hardware teams, write code for real-time or resource-constrained systems, and use remote tools to debug and deploy software. They may work in industries like automotive, medical devices, consumer electronics, or industrial automation. Remote embedded software engineers rely on communication and project management tools to coordinate with their teams and ensure product quality.

What are remote embedded software jobs?

Remote embedded software jobs include embedded software engineer positions. As a work from home embedded software engineer, you develop embedded software systems for a variety of computerized devices. Your responsibilities start with assessing your client’s needs. You then design and code the embedded software, troubleshoot your software systems, perform research and test actions on the software, and implement software updates whenever necessary. Other duties include maintaining the software programs, documenting solutions to issues, providing the necessary post-production support, and reviewing the implemented system to debug the embedded environment and interpret error reports.

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

To thrive as a Remote Embedded Software Engineer, you need expertise in embedded systems programming (typically in C/C++), hardware interfacing, and a relevant degree in computer engineering or electrical engineering. Familiarity with development tools such as debuggers, version control systems (e.g., Git), and real-time operating systems (RTOS) is commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed team environment. These skills ensure reliable software integration with hardware, efficient collaboration, and successful delivery of complex embedded solutions.

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

Remote embedded software engineers often face challenges such as limited access to physical hardware for testing, coordinating with hardware teams across locations, and ensuring clear communication about design specifications. To overcome these, teams typically use simulation tools, remote access labs, and detailed documentation. Regular virtual meetings and collaborative platforms also help maintain alignment and facilitate troubleshooting in distributed environments.

What is the difference between Remote Embedded Software vs Remote Firmware Engineer?

AspectRemote Embedded SoftwareRemote Firmware Engineer
Required CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDevelops software for embedded devices, often in hardware labs or remote setupsCreates low-level firmware for hardware components, typically in hardware labs or remote
Industry UsageAutomotive, IoT, consumer electronics, industrial systemsConsumer electronics, IoT, aerospace, automotive
Common Search/ComparisonYesYes

Remote Embedded Software and Remote Firmware Engineer roles both involve working on embedded systems, but Embedded Software focuses on higher-level software development, while Firmware Engineers work on low-level hardware control code. Both require similar credentials and are used across industries like automotive and IoT, often in remote or hybrid environments.

Can you work remotely as a remote embedded software engineer?

Remote embedded software engineering roles are increasingly available, allowing professionals to develop firmware and software for hardware devices from a remote location. These positions often require strong skills in programming languages like C or C++, familiarity with hardware tools, and effective communication for collaboration. Many companies offer flexible or fully remote arrangements for qualified candidates.

What cities near Clifton, NJ are hiring for Remote Embedded Software jobs?

Cities near Clifton, NJ with the most Remote Embedded Software job openings:

Infographic showing various Remote Embedded Software job openings in Clifton, NJ as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 41% Physical, 2% Hybrid, and 57% Remote job distribution, with an average salary of $157,808 per year, or $75.9 per hour.

Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Artificial Intelligence Software EngineerNew York, New York, United States Or refer someone Job OpeningsAbout the Job Artificial Intelligence Software EngineerArtificial Intelligence Software Engineer - Hybrid/Remote - NYCNo visa sponsorship available at this time.Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.Responsibilities:Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications.Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems.Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization.Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products.Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools.Document design specifications, implementation details, and best practices for internal and external stakeholders.Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.Requirements:Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred.Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role.Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.Familiarity with software engineering best practices, including version control, testing, and code review.Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.Or refer someone