ZipRecruiter

Log In

1

From Home Linux Kernel Developer Jobs in Phoenix, AZ

Artech Information System LLC

Python developer

Chandler, AZ

$49.50 - $68.25/hr

... Linux administration Experience with private cloud implementations such as OpenStack The cloud ... from application to network. This person will interface with technical leads throughout the ...

Inficare Technologies

Java Developer with Webflux

Phoenix, AZ · On-site

$50.75 - $65.50/hr

Phoenix, AZ (Hybrid - 3 days onsite, 2 days WFH--local candidate only) Job Type: Contract (Long Term) Experience: 10+ years Job Overview Our client is seeking a seasoned Java Developer with strong ...

Tanisha Systems

Java developer

Phoenix, AZ

$50.75 - $65.50/hr

... from office locations in USA and India. Job Title: Java developer Job Location: Phoenix, Arizona ... Implement shared components and frameworks using Java in a Linux based environment. Quality minded ...

Select Minds LLC

Mainframe Developer

Phoenix, AZ · On-site

$80K - $88K/yr

Mainframe Developer Location : Phoenix, AZ - Hybrid We are looking for an experienced Mainframe ... Experience: 8+yr Flexible work from home options available.

Tanisha Systems

Java developer

Phoenix, AZ · On-site

$50.75 - $65.50/hr

... from office locations in USA and India. Job Title: Java developer Job Location: Phoenix, Arizona ... a Linux based environment. • Quality minded with a strong understanding of writing good test ...

INT Technologies

Red Hat Linux Engineer

Chandler, AZ

The candidates will need to be flexible to work a Mon-Thurs schedule...anywhere from noon to 22:00 or 16:00 to 02:00 (region dependent --- Eastern, Central, Mountain, Arizona, Pacific, Alaska) * We ...

BloKchain Talent

Audio Conference DevOps Engineer

Tempe, AZ · On-site

$51.25 - $70.25/hr

Resolve escalation tickets from technical support Qualifications * Develop Ansible playbooks to ... In-depth knowledge of Linux operation commands, config files, and packages * In-depth knowledge of ...

BloKchain Talent

Audio Conference DevOps Engineer

Tempe, AZ · On-site

$51.25 - $70.25/hr

Resolve escalation tickets from technical support Qualifications * Develop Ansible playbooks to ... In-depth knowledge of Linux operation commands, config files, and packages * In-depth knowledge of ...

INT Technologies

Red Hat Linux Engineer

Chandler, AZ · On-site

The candidates will need to be flexible to work a Mon-Thurs schedule...anywhere from noon to 22:00 or 16:00 to 02:00 (region dependent --- Eastern, Central, Mountain, Arizona, Pacific, Alaska) * We ...

Implify Inc

Pega Developer

Phoenix, AZ

$55.75 - $73.25/hr

... Linux) scripting At least 2 years' experience in database Oracle or MS/SQL At least 2 years ... from an accredited institution. Will also consider three years of progressive experience in the ...

premier it Solutions

Sr. ETL Developer

Tempe, AZ · On-site

$48.75 - $64/hr

Extensive experience in developing complex mappings from varied transformations like Source ... Experience in Unix/Linux Operating System and Shell scripting. Experience in integration of various ...

previous page

Showing results 41-60

All JobsLinux Kernel Developer JobsFrom Home Linux Kernel Developer JobsFrom Home Linux Kernel Developer Jobs in Phoenix, AZ

From Home Linux Kernel Developer information

See Phoenix, AZ salary details

$100.3K

$148K

$174.8K

How much do from home linux kernel developer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for from home linux kernel developer in Phoenix, AZ is $148,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $163,800.00 per year, depending on experience, location, and employer.

What does a from home Linux kernel developer do?

A From Home Linux Kernel Developer is a software engineer who works remotely to design, develop, and maintain the core of the Linux operating system, known as the kernel. Their responsibilities include writing and debugging kernel code, adding new features, fixing bugs, and collaborating with a global community of developers. They often contribute to open source projects and must be skilled in C programming, operating system concepts, and version control. Working from home allows them flexibility, but also requires strong communication and self-management skills.

What is the difference between From Home Linux Kernel Developer vs From Home Software Engineer?

AspectFrom Home Linux Kernel DeveloperFrom Home Software Engineer
CredentialsBachelor's in Computer Science, Linux kernel certificationsBachelor's in Computer Science or related field, programming certifications
Work EnvironmentRemote, Linux-based systems, development teamsRemote or on-site, various programming environments
Industry UsageOpen-source projects, tech companies, hardware firmsTech, finance, healthcare, diverse industries
Search & ComparisonFocused on kernel development, Linux expertiseBroader software development roles, application focus

While both roles involve software development, a From Home Linux Kernel Developer specializes in Linux kernel modifications and requires deep Linux expertise. In contrast, a From Home Software Engineer has a broader scope, working on various applications across industries. The choice depends on your focus on kernel-level work versus general software development.

What are the key skills and qualifications needed to thrive as a from home Linux kernel developer?

To succeed as a From Home Linux Kernel Developer, you need deep knowledge of C programming, operating system concepts, and prior experience contributing to the Linux kernel, often supported by a computer science degree or equivalent experience. Familiarity with Git, Linux build tools, kernel debugging utilities, and sometimes certifications like LFCE or LFCS are typically important. Strong problem-solving abilities, written communication, and self-motivation are vital soft skills for collaborating remotely and navigating complex codebases. These competencies enable developers to make meaningful kernel contributions, efficiently solve issues, and work effectively within distributed open-source teams.

What are some common challenges faced by remote Linux kernel developers, and how can they be effectively addressed?

Working as a remote Linux Kernel Developer often presents challenges such as coordinating with geographically dispersed teams, maintaining clear communication, and staying updated with the latest kernel developments. To address these, developers frequently use collaborative tools like Git, mailing lists, and video conferences, and participate in open-source communities to stay engaged. Regular code reviews and documentation are crucial for ensuring code quality and transparency. Proactively setting up a dedicated workspace and structured work hours also helps maintain productivity in a home environment.
What are the most commonly searched types of Linux Kernel Developer jobs in Phoenix, AZ? The most popular types of Linux Kernel Developer jobs in Phoenix, AZ are:
From Home Linux Kernel Developer jobs near you

ML Infrastructure Engineer

Bright Vision Technologies

Phoenix, AZ • On-site, Remote

$100K - $150K/yr

Full-time

Posted 3 days ago

New

Job description

ML Infrastructure Engineer - Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: ML Infrastructure Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. 
Key Responsibilities 
  • Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. 
  • Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. 
  • Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. 
  • Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. 
  • Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. 
  • Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. 
  • Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. 
  • Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. 
  • Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. 
  • Partner with research and applied ML teams to plan capacity for upcoming training runs. 
  • Implement security controls, isolation, and access management for multi-tenant AI infrastructure. 
  • Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. 
  • Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. 
  • Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. 
Required Qualifications 
  • Bachelor’s or Master’s degree in Computer Science or a related field. 
  • Six or more years of experience in infrastructure, platform, or HPC engineering. 
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure. 
  • Strong proficiency in Python and at least one systems language such as Go or C++. 
  • Deep understanding of distributed training, accelerator architectures, and collective communication. 
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. 
  • Strong understanding of Linux internals, networking, and high-performance storage. 
  • Experience with at least one major cloud provider’s ML infrastructure offerings. 
  • Strong software engineering practices including testing, CI/CD, and code review. 
  • Excellent communication and cross-functional collaboration skills. 
Preferred Qualifications 
  • Experience operating InfiniBand or RDMA networking at scale. 
  • Contributions to open-source ML infrastructure projects. 
  • Familiarity with custom orchestrators or research-grade training stacks. 
  • Exposure to frontier model training operations. 
  • Experience with FinOps for AI workloads. 
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Apply