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Remote Avionics Integration Engineer Jobs in Hackensack, NJ

YO AI Labs

GPU Programmer - Remote

New York, NY · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Develop host-side logic and GPU integrations using C++ . * Create GPU-focused tasks and solutions ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Hands-on experience with SSIS, Azure Data Factory, Azure Databricks, and Snowflake * Proven skills ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Develop host-side logic and GPU integrations using C++ . * Create GPU-focused tasks and solutions ...

Reworld

Senior M&A Integration Manager

New York, NY · Remote

Our Business Reworld partners with businesses by offering cutting-edge engineering and innovative ... Remote All Reworld positions require a candidate's ability to perform the duties and ...

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Remote Avionics Integration Engineer information

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How much do remote avionics integration engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote avionics integration engineer in Hackensack, NJ is $63.49, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $77.60 per hour, depending on experience, location, and employer.

What does a remote avionics integration engineer do?

A Remote Avionics Integration Engineer is responsible for integrating, testing, and troubleshooting avionics systems in aircraft while working remotely. They ensure that all electronic systems, such as communication, navigation, and control systems, work together seamlessly. This involves collaborating with design teams, writing integration documentation, supporting system verification, and resolving technical issues. Remote engineers utilize specialized software tools and may provide guidance to on-site teams during installation and testing phases.

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

To thrive as a Remote Avionics Integration Engineer, you need a solid background in electrical engineering, avionics systems, and integration processes, typically supported by a relevant engineering degree and experience in aerospace projects. Familiarity with industry tools like MATLAB, Simulink, CAD software, and certification standards such as DO-178C or DO-254 is crucial. Excellent problem-solving abilities, communication skills, and the ability to collaborate effectively in a remote, cross-functional team set top performers apart. These skills ensure the reliable integration and functionality of complex avionics systems, compliance with safety standards, and efficient teamwork across distributed environments.

What are some common challenges faced by remote avionics integration engineers when collaborating with distributed teams?

Remote Avionics Integration Engineers often work with multidisciplinary teams spread across different locations and time zones, which can make real-time communication and troubleshooting more complex. Ensuring seamless data sharing, maintaining version control of software and hardware designs, and coordinating system tests remotely are typical challenges. To overcome these, engineers rely heavily on collaborative tools, clear documentation, and regular virtual meetings. Proactive communication and strong organizational skills are essential for staying aligned with the team and meeting project milestones efficiently.

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Remote Avionics Integration Engineer jobs near you

GPU Programming Software Engineer Expert - Remote

YO AI Labs

New York, NY • Remote

$60 - $85/hr

Full-time

Posted 5 days ago

Job description

GPU Programmer / Software Engineer

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 LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities

  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications

  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan