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Remote Linux Device Driver Developer Jobs in Missouri

Jobgether

$128K - $133K/yr

Working in a collaborative, remote-first environment, you will drive the evolution of modern AI ... Linux systems, networking fundamentals, and monitoring solutions. * Excellent communication ...

Jobgether

Create abstractions and developer tools that enable engineering teams to work more effectively with ... Hands-on experience with cloud infrastructure, Linux environments, and infrastructure automation.

Jobgether

... DevOps, and customer-facing functions in a remote-first environment. The position combines ... Experience working with Linux, Windows, and Mac operating system environments. * Knowledge of ...

Jobgether

$44 - $58.50/hr

Manage cloud platforms, virtualization technologies, network infrastructure, and remote monitoring ... Proficiency with Linux and Windows server administration, virtualization technologies, and ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... remote access and debugging) on macOS or Linux. Preferred Skills * Infrastructure as Code:

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

... remote access and debugging) on macOS or Linux. Preferred Skills Infrastructure as Code: Terraform, plus IaC static analysis tooling such as Checkov. Azure messaging and networking: Event Grid ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

... remote access and debugging) on macOS or Linux. Preferred Skills Infrastructure as Code: Terraform, plus IaC static analysis tooling such as Checkov. Azure messaging and networking: Event Grid ...

Optiv Security, Inc.

Sr. Zscaler Engineer

Kansas City, MO · Remote

$111K - $153K/yr

This position will be fully remote and can be hired anywhere in the continental U.S. Optiv is ... Ability to analyze device and traffic logs, extensive knowledge of TCP/IP protocol stack * Ability ...

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... remote access and debugging) on macOS or Linux. Preferred Skills * Infrastructure as Code:

GardaWorld

Software Engineer

Saint Louis, MO · On-site +1

$100K/yr

Software Engineer (Azure Cloud, Data Engineering & Automation) | Hybrid - St. Louis, MO We are ... remote access and debugging) on macOS or Linux. Preferred Skills * Infrastructure as Code:

The Timberline Group

SR. SOFTWARE ENGINEER

Saint Louis, MO · On-site +1

$119K - $157K/yr

Maintain knowledge and skills in cross-platform mobile device application development. Significant ... Remote in the USA Only * Contract-to-Hire 3-6 months * Must be US-Citizen or Green-Card only * Will ...

The Timberline Group

SOFTWARE ENGINEER

Saint Louis, MO · On-site +1

Maintain knowledge and skills in cross-platform mobile device application development. Significant ... Remote in the USA Only * Contract-to-Hire 3-6 months * Must be US-Citizen or Green-Card only * Will ...

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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?

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 Linux Device Driver Developer jobs near you

Engineering Manager - AI Product

Jobgether

Remote

$128K - $133K/yr

Full-time

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager - AI Product based in Netherlands.

Join an opportunity to lead the development of a cutting-edge AI platform that powers innovative products at scale. This role combines technical leadership with hands-on engineering, offering the chance to shape architecture, mentor a talented team, and contribute directly to production-grade AI systems. Working in a collaborative, remote-first environment, you will drive the evolution of modern AI infrastructure while balancing strategic decision-making with active software development. If you enjoy building high-performance AI platforms, leading by example, and delivering meaningful impact in a fast-paced setting, this role offers an exciting next step in your career.

Accountabilities
  • Lead, mentor, and develop a small team of AI engineers, fostering a culture of ownership, collaboration, and engineering excellence.
  • Define the technical vision and architectural direction of the AI product, ensuring high standards for performance, scalability, reliability, and cost efficiency.
  • Contribute hands-on to the design, implementation, and optimization of production AI systems, including model serving, inference pipelines, retrieval systems, orchestration, and evaluation frameworks.
  • Oversee the end-to-end AI platform, including GPU infrastructure, model deployment, versioning, embedding pipelines, monitoring, and quality evaluation processes.
  • Collaborate closely with Product, Infrastructure, Security, and Backend teams to align priorities, deliver integrated solutions, and support strategic business goals.
  • Conduct regular performance reviews, coaching sessions, and technical mentoring while translating long-term objectives into clear execution plans and ensuring successful project delivery.
Requirements
  • 7+ years of experience in software engineering, including at least 2 years in an engineering management or technical leadership role.
  • Proven experience building and operating production AI/ML platforms or inference infrastructure, with expertise in model serving, GPU workloads, latency optimization, and cost management.
  • Strong backend engineering skills, including Python proficiency and experience with distributed systems; knowledge of Go, Rust, or similar languages is considered an advantage.
  • Hands-on experience with modern LLM technologies, including model APIs, open-weight models, serving frameworks, vector databases, retrieval systems, and prompt or context engineering.
  • Solid understanding of AI quality evaluation, benchmarking, observability, regression testing, and monitoring for non-deterministic systems.
  • Experience with cloud environments, preferably AWS, along with Kubernetes, containerization, Infrastructure-as-Code tools, CI/CD pipelines, Linux systems, networking fundamentals, and monitoring solutions.
  • Excellent communication, leadership, and decision-making skills, with the ability to balance strategic planning, technical execution, and people management.
Benefits
  • Fully remote position with collaboration across the European time zone.
  • Opportunity to lead a highly impactful AI product with significant ownership and technical influence.
  • Hands-on leadership role combining engineering management with active software development.
  • Exposure to cutting-edge AI technologies, including LLMs, inference infrastructure, GPU computing, and distributed systems.
  • Close collaboration with cross-functional engineering, infrastructure, product, and security teams.
  • Career growth through technical leadership, architecture ownership, and strategic decision-making.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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