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Remote Engineering Jobs in Hoboken, NJ (NOW HIRING)

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and ...

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and ...

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

Senior Software Engineer - Remote

New York, NY ยท Remote

$134K - $176K/yr

This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting. Required Skills and Qualifications:

Nextthink Engineer (Remote)

Newark, NJ ยท Remote

$100K - $120K/yr

... g team. This role focuses on improving the Digital Employee Experience (DEX) by proactively ... Develop and manage Remote Actions (Act Engine) for automated endpoint remediation. * Monitor ...

Showing results 21-40

Remote Engineering information

See Hoboken, NJ salary details

$35.6K

$68.9K

$104.5K

How much do remote engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote engineering in Hoboken, NJ is $68,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $78,800.00 per year, depending on experience, location, and employer.

What is remote engineering?

Remote engineering refers to engineering work that is performed outside of a traditional office or job site, typically from home or another remote location. Remote engineers use digital tools and communication platforms to collaborate with teams, design systems, write code, or manage projects from anywhere in the world. This work arrangement allows for greater flexibility and can help companies access a wider pool of talent. However, it also requires strong communication skills and self-discipline to maintain productivity and teamwork.

What are the key skills and qualifications needed to thrive as a remote engineer?

To thrive as a Remote Engineer, you need strong technical expertise in your engineering discipline, a relevant degree, and experience with distributed systems or remote collaboration. Familiarity with tools such as Git, cloud platforms (e.g., AWS, Azure), and team communication software like Slack or Zoom is typically required. Excellent self-motivation, time management, and clear written communication distinguish top performers in remote settings. These skills and qualities are crucial for delivering high-quality engineering solutions and maintaining productivity while collaborating with geographically dispersed teams.

How do remote engineering teams typically coordinate and communicate to ensure project success?

Remote engineering teams commonly use a combination of collaboration tools like Slack, Jira, and GitHub to stay connected and manage projects efficiently. Regular virtual stand-ups, sprint planning meetings, and code reviews help maintain alignment and transparency among team members. Clear documentation and proactive communication are essential to overcome time zone differences and prevent misunderstandings. Most teams also establish shared coding standards and utilize version control to streamline contributions from multiple engineers working remotely.

What is the difference between Remote Engineering vs Remote Software Developer?

AspectRemote EngineeringRemote Software Developer
Required CredentialsBachelor's in Engineering, relevant certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentDesign, testing, and overseeing engineering projects remotelyWriting, testing, and deploying software remotely
Employer & Industry UsageEngineering firms, manufacturing, infrastructureTech companies, startups, software firms
Search & Comparison IntentUnderstanding engineering roles vs software roles remotely

Remote Engineering involves designing and managing engineering projects remotely, often requiring technical certifications and a background in engineering disciplines. Remote Software Developers focus on coding and software deployment from a remote location, typically with programming certifications. While both roles can be performed remotely, Remote Engineering emphasizes project oversight and technical engineering tasks, whereas Remote Software Development centers on software creation and maintenance.

What are the most commonly searched types of Engineering jobs in Hoboken, NJ?

The most popular types of Engineering jobs in Hoboken, NJ are:

What are popular job titles related to Remote Engineering jobs in Hoboken, NJ?

For Remote Engineering jobs in Hoboken, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Engineering jobs in Hoboken, NJ look for?

The top searched job categories for Remote Engineering jobs in Hoboken, NJ are:

What cities near Hoboken, NJ are hiring for Remote Engineering jobs?

Cities near Hoboken, NJ with the most Remote Engineering job openings:

Infographic showing various Remote Engineering job openings in Hoboken, NJ as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $68,902 per year, or $33.1 per hour.

Agentic AI Engineering Architect (Remote -US)

OMG Technologies

Jersey City, NJ โ€ข Remote

Contractor

Posted 8 days ago


Job description

Agentic AI Engineering Architect - Remote (US)
We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a REMOTErole.

Position Overview

Lead the transformation of the software engineering organization into anAI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across theProduct Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.

Key Responsibilities

  • Define theAI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterpriseAI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • DriveAI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures acrosscloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • EstablishAI governance, security, Responsible AI, validation, and regulatory compliancepractices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such asOpenAI, Azure AI, AWS Bedrock, Google Gemini, Anthropic, LangGraph, AutoGen, Semantic Kernel, LangChain, MCP, GitHub Copilot, Cursor, and Claude Code.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
  • 12+ yearsof enterprise software engineering experience.
  • 8+ yearsleading enterprise architecture initiatives.
  • 5+ yearsleading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience inenterprise software modernization and DevSecOps at scale.
  • Strong understanding ofGenerative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementingGenAI solutions in enterprise environments.
  • Strongenterprise architecture, technical leadership, and organizational transformation skills.

Key Technical Skills

AI/Agentic AI:GenAI, LLMs, Agentic AI, RAG, Knowledge Graphs, LLMOps, AI Evaluation, AI Safety, MCP, Context Engineering.
Engineering:Python, Java, C#, TypeScript, Node.js, React, REST/GraphQL, Microservices, Kubernetes, Docker, GitHub, Azure DevOps, Terraform, CI/CD.
Cloud/Data:Azure, AWS, GCP, Databricks, Snowflake, PostgreSQL, Redis, Vector Databases, Neo4j.
AI Frameworks:LangGraph, CrewAI, AutoGen, Semantic Kernel, PydanticAI, LangChain, LlamaIndex, OpenAI/Anthropic SDKs, Azure AI Foundry.

Other Job Details:

  • Job Type:C2C or W2. (Open to market rate)
  • Duration:6+ months with a high possibility of extension.
  • Location:REMOTE.
  • Interviews:Video interviews.
  • Docs required: ID proof will be required.