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Remote Linux Device Driver Developer Jobs in New York

Senior Firmware Engineer, OpenBMC

New York, NY ยท On-site +1

$153K - $242K/yr

Comfort with Linux kernel configuration, device trees, and BSP-level integration. * Working ... Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles. * Basic ...

Principal Graphics Engineer

New York, NY ยท Remote

$143K - $177K/yr

Linux device driver programming. Nice-to-Haves * Experience building, fine-tuning, or evaluating internal AI/agent tooling that augments engineering work. * A data-driven mindset, relying on ...

C/C++ Developer

New York, NY ยท Remote

$50.25 - $67.50/hr

... between Windows and Linux graphics stacks (runtime, drivers, and compilers), then communicating clear findings and recommended next steps to graphics driver and runtime engineers. Job ...

Control-M Developer - Data Engienering

Edison, NJ ยท Remote

$50.50 - $69/hr

Remote Experience: 10+ years Duration: 6+ Months Employment Type: Contract Job Summary We are ... Proficiency in Unix/Linux shell scripting * Strong SQL skills for data validation and ...

... remote peers across timezones, multi-tasking ticket completion and avoiding mental blockers You ... Linux fundamentals and scripting experience, preferably BASH and/or Python You have a solid ...

... remote peers across timezones, multi-tasking ticket completion and avoiding mental blockers You ... Linux fundamentals and scripting experience, preferably BASH and/or Python You have a solid ...

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Remote Linux Device Driver Developer information

What does a Remote Linux Device Driver Developer do?

A Remote Linux Device Driver Developer designs, develops, tests, and maintains device drivers for the Linux operating system while working remotely. Their main responsibility is to enable hardware devices, such as network cards or storage controllers, to communicate properly with Linux-based systems. This role involves writing low-level code in languages like C, debugging kernel modules, and collaborating with hardware and software engineers to ensure compatibility and performance. Remote work allows these developers to collaborate with teams worldwide using communication tools and version control systems.

What are the key skills and qualifications needed to thrive as a Remote Linux Device Driver Developer, and why are they important?

To thrive as a Remote Linux Device Driver Developer, you need strong proficiency in C/C++ programming, Linux kernel architecture, and hardware interface protocols, typically backed by a degree in computer science or related field. Familiarity with development tools like Git, GDB, and cross-compilation toolchains, as well as experience with kernel module development, is essential. Excellent problem-solving skills, self-motivation, and effective remote communication set top candidates apart in this role. These skills ensure robust driver performance, smooth hardware integration, and efficient collaboration across distributed teams.

How does a Remote Linux Device Driver Developer typically collaborate with hardware and QA teams?

As a Remote Linux Device Driver Developer, collaboration with hardware engineers and QA teams is crucial to ensure drivers are robust and compatible with target devices. Communication is typically managed through regular video meetings, documentation, and issue tracking platforms like Jira or GitHub. Developers often review hardware specifications, participate in design discussions, and respond to QA feedback on bugs or performance issues. This collaborative workflow ensures hardware-software integration is seamless, even when teams are distributed globally.
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Remote Machine Learning Engineer

Angenex

Jersey City, NJ โ€ข Remote

Other

Posted 13 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.