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Remote Embedded Jobs in Bergenfield, NJ (NOW HIRING)

1 point system

Cloud Architect

New York, NY · Remote

$66.50 - $84.75/hr

FULLY REMOTE, INTERVIEW VIA TEAMS A Cloud Architect with AI experience will provide the following ... As AI tools become embedded across business processes, we need expertise in securely connecting ...

Revivn

Product Engineer, Customer Platform

New York, NY · On-site +1

$110K - $150K/yr

We're looking for a Product Engineer to be the embedded technical presence for our customer-facing ... Please note this role is based on-site at our Brooklyn Navy Yard office with Remote Wednesdays.

Grasshopper Bank

Fintech Risk Analyst

New York, NY · On-site +1

Remote Description Grasshopper Bank is a client-first , digital bank built for the business and ... Ongoing collaboration with various teams, including BSA, Embedded Finance, Operations, and Product ...

KAST

Frontend Developer (Flutter; DeFi)

New York, NY · On-site +1

$113K - $132K/yr

Location: remote from the US. What You'll Be Doing * Build and own consumer-facing DeFi features in ... Familiarity with embedded/MPC wallet providers or self-custody / key import-export flows.

Anysphere, Inc

Software Engineer, Security

New York, NY · On-site +1

Remote Apply Our mission is to automate coding. The first step in our journey is to build the best ... and protections embedded directly in our products. You'll build the tools and features that ...

Brex

Bill Pay Counsel

New York, NY · On-site +1

$220K - $270K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Serve as the embedded legal partner to engineering, design, and product teams building bill pay and payments ...

Alpaca

Director of Data Platform

New York, NY · On-site +1

Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and ... Experience managing distributed/remote teams across multiple time zones. * Strong stakeholder ...

Esprow

QA Team Lead / QA Manager (Remote)

Manhattan, NY · On-site +1

... is embedded throughout the software development lifecycle and that releases meet the highest ... Benefits You Will Enjoy - Full time position (mix of onsite and remote). - Competitive package ...

Magellan AI

Measurement Growth Director

New York, NY · On-site +1

$70K - $110K/yr

Shape how measurement gets adopted, used, and embedded into workflows across the audio ecosystem ... Remote-first work environment * Opportunities to work closely with a small, experienced team ...

Magellan AI

Measurement Growth Director

New York, NY · Remote

$70K - $110K/yr

Shape how measurement gets adopted, used, and embedded into workflows across the audio ecosystem ... Remote-first work environment * Opportunities to work closely with a small, experienced team ...

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All JobsEmbedded JobsRemote Embedded JobsRemote Embedded Jobs in Bergenfield, NJ

Remote Embedded information

See Bergenfield, NJ salary details

$75.2K

$164.8K

$187K

How much do remote embedded jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote embedded in Bergenfield, NJ is $164,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,300.00 and $185,900.00 per year, depending on experience, location, and employer.

What are remote embedded jobs?

Remote embedded jobs involve designing, developing, and maintaining embedded systems software or firmware, while working from a location outside of a traditional office—often from home. These roles typically require expertise in programming languages such as C or C++ and familiarity with hardware interfaces, microcontrollers, and real-time operating systems. Remote embedded engineers collaborate with teams using online tools and may work on products ranging from consumer electronics to automotive or industrial devices. The remote aspect allows for flexible work arrangements and access to a broader range of job opportunities across the globe.

What are remote embedded jobs?

Remote embedded jobs include positions within the software and development industry that focus on engineering, developing, and maintaining software for embedded systems and networks. Common titles include “remote embedded software engineer” and “remote embedded developer.” Embedded software has a specific task related to the operations of a hardware system. As an embedded software engineer who works from home, your duties include coding software to perform a particular function, such as the control of a piece of machinery or the collection of data from a system. As a remote embedded software developer, you perform a similar job and sometimes help clients customize embedded software. You may also work as a remote quality assurance engineer where your responsibilities involve testing existing software.

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

To thrive as a Remote Embedded Engineer, you need a solid background in embedded systems design, programming in C/C++, and a relevant degree in electrical engineering, computer engineering, or a related field. Familiarity with hardware debugging tools, version control systems like Git, and real-time operating systems (RTOS) is typically required. Strong problem-solving abilities, effective communication skills, and the ability to work independently are essential soft skills for remote collaboration. These skills and qualities are crucial for developing reliable embedded solutions and ensuring seamless teamwork across distributed environments.

How does a remote embedded engineer typically collaborate with cross-functional teams while working offsite?

Remote Embedded Engineers often work closely with hardware, software, and quality assurance teams, even when not physically present. Collaboration is facilitated through regular video meetings, shared documentation, and version control systems like Git. Effective communication is crucial, as tasks such as debugging hardware remotely or reviewing code require clear coordination. Many teams use project management tools to track progress and ensure alignment, allowing remote engineers to contribute seamlessly to product development and problem-solving.

What is the difference between Remote Embedded vs Remote Firmware Developer?

AspectRemote EmbeddedRemote Firmware Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related field; experience with embedded systemsSimilar credentials, often with additional certifications in firmware development or microcontroller programming
Work EnvironmentDesigning and testing embedded systems, often involving hardware integrationDeveloping low-level firmware for microcontrollers or hardware devices
Industry UsageElectronics, automotive, IoT, consumer devicesConsumer electronics, industrial equipment, IoT devices
Search & Comparison IntentLooking for roles involving embedded system design and softwareFocusing on firmware coding and microcontroller programming

Remote Embedded roles typically involve designing and testing embedded systems that integrate hardware and software, while Remote Firmware Developers focus specifically on writing low-level firmware for microcontrollers. Both roles require similar credentials and are used across industries like electronics and IoT, but their core responsibilities differ in hardware interaction versus firmware coding.

Is remote embedded systems still a good career?

Remote embedded systems engineering remains a viable career due to ongoing demand for expertise in hardware-software integration, IoT development, and real-time systems. Skills in C/C++, debugging tools, and familiarity with hardware platforms are valuable, and remote work options are increasingly available in this field.
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Remote Embedded jobs near you

Cloud Architect

1 point system

New York, NY • Remote

$66.50 - $84.75/hr

Contractor

Posted 26 days ago

Job description

Job Title

Cloud Architect- AI Model

Client

National Judicial System

Location

100% Remote – EST hours

Type of Hire

6+ months Contract

 
Job Description:
The New Jersey Judicial department is searching for a Cloud Architect who possesses both advanced cloud engineering skills and hands-on experience supporting, configuring, and optimizing AI models and tools. 
 
FULLY REMOTE, INTERVIEW VIA TEAMS
 
A Cloud Architect with AI experience will provide the following value:

  • Design and optimization of AI-ready cloud environments: Modern AI workloads require specialized architectures, including high performance compute, GPU clusters, container orchestration, and distributed storage. An experienced architect ensures these environments are properly designed, cost efficient, and aligned with best practices.
  • Integration of AI tools into existing systems: As AI tools become embedded across business processes, we need expertise in securely connecting models, APIs, vector databases, and pipelines to our existing applications and data sources.
  • Support for model deployment and lifecycle management: Effective use of AI requires more than just model development. We need an expert who can manage deployment, monitoring, versioning, and scaling to ensure models operate reliably and safely in production environments.
  • Governance, security, and compliance: AI systems introduce new risks related to data handling, model outputs, and access control. A Cloud Architect with AI expertise can implement guardrails, enforce cloud security policies, and ensure alignment with organizational, legal, and ethical standards.
  • Cost management and operational efficiency: AI workloads can incur significant compute and storage costs if not properly architected. An experienced professional can implement automation, workload right sizing, and optimization strategies to reduce expenses.
  • Support for innovation initiatives: As AI tools continue to evolve, this role will allow the organization to pilot new technologies, evaluate vendor solutions, and rapidly implement new capabilities without compromising security or stability.

 
Requirements:

  • Hands on experience creating and managing AWS IAM users, roles, policies, and permission sets.
  • Deep understanding of Cloud Governance frameworks.
  • Experience working within AWS enterprise environments, including services commonly tied to governance and IAM such as S3, CloudTrail, CloudWatch, ECR, and Bedrock.
  • Practical AI/ML experience, preferably with cloud-native AI services (AWS Bedrock or similar), including understanding how IAM permissions impact model access, data security, and sandbox experimentation.
  • Ability to evaluate and implement access control models, including role refinement, trust policy review, and development or enhancement of permission sets used across technical teams.
  • Experience collaborating with cloud governance, security, and technical services teams to design, review, and improve identity-related workflows and ensure adherence to organizational standards.

Strong documentation and communication skills, demonstrated through writing governance procedures, IAM configuration guides, and technical recommendations for stakeholders across IT and management