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Remote Computer Engineer Jobs in Arizona (NOW HIRING)

Joby Aviation

Flight Research Remote Pilot

Yuma, AZ · Remote

$91K - $125K/yr

Act as the remote pilot in command for various R&D aircraft platforms * Conduct preflight planning ... Basic CAD and manufacturing experience * Systems engineering * A&P or similar experience * Aircraft ...

Joby Aviation

Flight Research Remote Pilot

Yuma, AZ · Remote

$91K - $125K/yr

Act as the remote pilot in command for various R&D aircraft platforms * Conduct preflight planning ... Basic CAD and manufacturing experience * Systems engineering * A&P or similar experience * Aircraft ...

Circle

Senior Software Engineer

Phoenix, AZ · Remote

$152K - $205K/yr

Bachelor's degree in Computer Science or a closely related field (or equivalent). * Led teams (2-4) ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Circle

Staff Software Engineer

Phoenix, AZ · Remote

$195K - $257K/yr

Computer Science degree or a closely related field (or foreign equivalent). * Technical leadership ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Bex Partners

Automation Engineer

Phoenix, AZ · On-site +1

Prolonged periods of sitting at a desk and working on a computer. What You GET: * Growth ... Phoenix-based hybrid environment preferred, with fully remote options considered for the right ...

Ascend Learning

Principal AI Engineer

Gilbert, AZ · On-site +1

Remote will be considered HOW YOU'LL SPEND YOUR TIME * Lead the Design, develop, and deploy ... Bachelor' degree preferred in Computer Science/Artificial Intelligence or closely related field.

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Remote Computer Engineer information

See Arizona salary details

$45.2K

$113.2K

$128.1K

How much do remote computer engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for remote computer engineer in Arizona is $113,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $122,500.00 per year, depending on experience, location, and employer.

Can a computer engineer work remotely?

Yes, many computer engineering roles can be performed remotely, especially those involving software development, system design, and troubleshooting. Remote work often requires strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or security clearances depending on the employer.

What are some common challenges faced by remote computer engineers, and how can they be overcome?

Remote computer engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with colleagues, and staying motivated without direct in-person supervision. Overcoming these challenges typically involves proactive scheduling, frequent updates via team messaging tools, and focusing on structured routines to manage tasks independently. Many companies also offer virtual stand-ups, regular check-ins, and supportive remote work cultures to foster connection and keep team members engaged. With the right strategies and tools, remote engineers can collaborate effectively and thrive in their roles.

What is a Remote Computer Engineer job?

A Remote Computer Engineer is a professional who designs, develops, tests, and maintains computer systems and software while working remotely. They may specialize in areas such as software development, network engineering, cybersecurity, or cloud computing. These engineers collaborate with teams using online tools, troubleshoot technical issues, and ensure systems run efficiently. Remote work allows flexibility but requires strong communication skills and self-discipline. Many companies hire remote computer engineers to reduce costs and access global talent.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand areas like tech giants or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses in addition to base salary.

What are the key skills and qualifications needed to thrive in the Remote Computer Engineer position, and why are they important?

To thrive as a Remote Computer Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Experience with collaboration platforms (like Git, Jira, or Slack), cloud technologies, and relevant certifications such as AWS or CompTIA Network+ is often required. Excellent time management, self-motivation, and written communication skills are crucial for successful remote work. These qualities enable consistent productivity, seamless teamwork, and effective project delivery in a decentralized environment.

How can I make $100,000 a year working from home?

A remote computer engineer can earn $100,000 annually by gaining specialized skills in high-demand areas such as cybersecurity, cloud computing, or software development, and obtaining relevant certifications like AWS or Cisco. Building a strong portfolio, gaining experience, and working for companies that offer competitive salaries or freelance projects can also help reach this income level.

What engineers make $200,000 a year?

Senior computer engineers, especially those with expertise in software development, cybersecurity, or data engineering, can earn $200,000 or more annually, often with extensive experience, advanced skills, and relevant certifications. High-paying roles typically involve leadership, specialized technical knowledge, or working in high-demand industries such as finance or technology firms.
What are the most commonly searched types of Computer Engineer jobs in Arizona? The most popular types of Computer Engineer jobs in Arizona are:
What are popular job titles related to Remote Computer Engineer jobs in Arizona? For Remote Computer Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Computer Engineer jobs in Arizona look for? The top searched job categories for Remote Computer Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Computer Engineer jobs? Cities in Arizona with the most Remote Computer Engineer job openings:
Remote Computer Engineer jobs near you
Infographic showing various Remote Computer Engineer job openings in Arizona as of July 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,239 per year, or $54.4 per hour.

ML Infrastructure Engineer

Bright Vision Technologies

Chandler, AZ • Remote

$100K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled ML Infrastructure Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
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 (Continental United States)Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Salary - $100K - $150K
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099. All our roles are W2.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an ML 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.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”
 

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.

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