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Remote Network Programming Jobs in Arizona (NOW HIRING)

Support efforts related to automated measurement, remote instrument control, and data-driven test ... Programming ability in Python, MATLAB, or similar tools for data analysis and automation. * Strong ...

Senior Systems Engineer (OOBM)

Sierra Vista, AZ ยท Remote

$93K - $127K/yr

S. Army Network Enterprise Technology Command (NETCOM), Assistant Chief of Staff (ACofS), G-3/5. ... Remote Desktop Services (RDS) solutions on the Army's portion of the Department of Defense ...

Manager, Software Engineering

Phoenix, AZ ยท Remote

$195K - $257K/yr

Circle's platform includes the world's largest regulated stablecoin network anchored by USDC ... You have experience managing remote teams * The ability to thrive on a fast pace environment with ...

... Network Auditor for each Special Process category. Prior audit experience may be accepted at the ... Bachelor's Degree in Engineering, Business or Technical discipline preferred with applicable ...

Staff Software Engineer

Phoenix, AZ ยท Remote

$195K - $257K/yr

Circle's platform includes the world's largest regulated stablecoin network anchored by USDC ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Senior Software Engineer

Phoenix, AZ ยท Remote

$152K - $205K/yr

Circle's platform includes the world's largest regulated stablecoin network anchored by USDC ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

IT Support Engineer | USA Only

Phoenix, AZ ยท Remote

$60K - $80K/yr

This is a remote position. IT Support Engineer | USA Location: USA Type: (Remote / Hybrid ... Support Docker-based deployments, including troubleshooting container startup, networking, and ...

This is a remote position. In this role you would work Monday through Friday normal business hours ... network, applications and end-user devices, and provides guidance to ensure new systems meet ...

Final Design and implementation of the radio network accounting for infrastructure, subscribers ... Preparation of system fleetmap, encryption, and radio programming templates * Produce as-built ...

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Showing results 1-20

Remote Network Programming information

What are the key skills and qualifications needed to thrive as a Remote Network Programmer, and why are they important?

To thrive as a Remote Network Programmer, you need a solid understanding of computer networking concepts, programming languages like Python, C++, or Java, and usually a degree in computer science or a related field. Familiarity with networking protocols (TCP/IP, UDP), version control systems (such as Git), and frameworks for remote communication are commonly required, along with relevant certifications like Cisco's CCNA. Strong problem-solving, self-motivation, and effective written communication skills help you excel in a remote environment and collaborate effectively with distributed teams. These abilities ensure reliable networked applications, efficient troubleshooting, and seamless teamwork across different locations.

What is remote network programming?

Remote network programming involves developing software or applications that manage, monitor, or interact with computer networks from a distance. This can include writing code for network communication protocols, configuring servers, troubleshooting connectivity issues, and ensuring data security between remote locations. Professionals in this field often work with technologies like VPNs, firewalls, APIs, and cloud networking tools, enabling organizations to operate and maintain their networks efficiently without being physically onsite. The job typically requires expertise in programming languages such as Python, Java, or C++, along with a strong understanding of networking principles.

What are some common challenges faced by remote network programmers, and how can these be effectively managed?

Remote network programmers often encounter challenges such as troubleshooting connectivity issues without on-site access, ensuring secure communication across distributed systems, and coordinating with team members in different time zones. Effective management of these challenges typically involves using robust remote debugging tools, adhering to security best practices like VPNs and encryption, and maintaining clear, consistent communication with colleagues through collaboration platforms. Proactively documenting code and network architecture also helps streamline remote teamwork and reduces misunderstandings.

What is the difference between Remote Network Programming vs Remote Network Administration?

AspectRemote Network ProgrammingRemote Network Administration
Primary FocusDeveloping and maintaining network software, protocols, and toolsManaging, configuring, and maintaining network infrastructure
Required SkillsProgramming, scripting, understanding of network protocolsNetwork setup, troubleshooting, security management
CertificationsCCNA, CompTIA Network+ (useful but not mandatory)CCNA, CompTIA Network+ (often required)
Work EnvironmentSoftware development environments, remote coding setupsRemote network labs, monitoring tools, remote access systems

Remote Network Programming focuses on creating network software and protocols, while Remote Network Administration involves managing and maintaining existing network infrastructure. Both roles often require similar certifications and can be performed remotely, but their core responsibilities differ significantly.

What are the most commonly searched types of Network Programming jobs in Arizona? The most popular types of Network Programming jobs in Arizona are:
What are popular job titles related to Remote Network Programming jobs in Arizona? For Remote Network Programming jobs in Arizona, the most frequently searched job titles are:

ML Infrastructure Engineer

Bright Vision Technologies

Tempe, AZ โ€ข On-site, Remote

$100K - $150K/yr

Full-time

Posted 3 days ago


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:โ€ฏ100% Remote (U.S.) 
Position Type:โ€ฏFull-time, Direct W2 
Salary Range:โ€ฏ$100,000โ€“$150,000 Annually 
Experience Required:โ€ฏ6+ years 
 
Sponsorship:โ€ฏU.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 
  • Bachelorโ€™s or Masterโ€™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 providerโ€™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 toโ€ฏJenny@bvteck.comโ€ฏor 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.