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Edge Computing Jobs in Phoenix, AZ (NOW HIRING)

The Role and Impact As a CPU Performance Architect, you will play a pivotal role in shaping the future of Intel's cutting-edge CPU designs, driving innovation across high-performance computing and ...

We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world.

We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world.

Hands-on experience with advanced IoT technologies and their practical hardware-software integration, such as edge computing, advanced sensor fusion. * Strong capability in project planning and ...

Hands-on experience with advanced IoT technologies and their practical hardware-software integration, such as edge computing, advanced sensor fusion. * Strong capability in project planning and ...

Knowledge and experience with IoT and Edge Computing strategies and concepts * Experience collaborating with clients to translate business requirements into technical requirements * Experience ...

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Edge Computing information

See Phoenix, AZ salary details

$12

$25

$38

How much do edge computing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for edge computing in Phoenix, AZ is $25.37, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $29.86 per hour, depending on experience, location, and employer.

What are edge computing jobs?

Edge computing jobs involve designing, deploying, and maintaining computing infrastructure at or near data sources to reduce latency and improve performance. Roles often require knowledge of networking, cloud platforms, and programming languages like Python or C++, with certifications such as Cisco or AWS sometimes preferred.

What are the key skills and qualifications needed to thrive in edge computing?

To excel in Edge Computing, you need a solid background in distributed systems, network engineering, and real-time data processing, typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools and platforms such as Docker, Kubernetes, IoT frameworks, and edge-specific cloud solutions, along with relevant certifications like CompTIA IoT+ or Cisco certifications, is highly advantageous. Strong problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating across technical and business teams. These skills ensure effective design, deployment, and maintenance of decentralized computing solutions that drive innovation and performance in various industries.

What is an edge computing professional?

An Edge Computing job involves designing, deploying, and managing computing resources closer to the data source to reduce latency and improve real-time data processing. Professionals in this field work with distributed computing, networking, and security to ensure efficient and reliable performance of edge devices. Roles often include Edge Engineer, Edge Architect, or IoT Specialist, requiring expertise in cloud-native technologies, AI, and edge infrastructure. These jobs are critical in industries like healthcare, manufacturing, and autonomous systems where low-latency decision-making is essential.

What does an edge computing professional do?

As an Edge Computing professional, your daily tasks often include designing and deploying edge infrastructure, optimizing real-time data processing pipelines, and monitoring system performance to ensure low latency operations. You may coordinate with software developers, hardware engineers, and security specialists to integrate edge devices with cloud services. Troubleshooting network and latency issues, updating firmware, and implementing security protocols are also regular parts of the role. This multidisciplinary environment allows you to see immediate impacts from your work while constantly collaborating with cross-functional teams to solve complex problems.

What are the most commonly searched types of Edge Computing jobs in Phoenix, AZ? The most popular types of Edge Computing jobs in Phoenix, AZ are:
What are popular job titles related to Edge Computing jobs in Phoenix, AZ? For Edge Computing jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Edge Computing jobs in Phoenix, AZ look for? The top searched job categories for Edge Computing jobs in Phoenix, AZ are:
Infographic showing various Edge Computing job openings in Phoenix, AZ as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $52,778 per year, or $25.4 per hour.

Senior Software Engineer (R&D/Prototyping)

Kforce Technology Staffing

Phoenix, AZ โ€ข On-site

$121K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

RESPONSIBILITIES:
Kforce has a client in Phoenix, AZ (Hybrid - 3+ days onsite) that is seeking a Senior R&D Software Engineer. We are working directly with the hiring manager on this search assignment.
About the Role:
We are seeking a Senior Software Engineer to drive the design and development of prototypes, proofs of concept (PoCs), and pilot-ready solutions that validate technical feasibility and enable rapid innovation. We are working directly with the hiring manager on this search assignment. Company offers a competitive compensaton package including base salary and annual bonus. This role operates at the intersection of software, hardware, and cloud systems, making it ideal for engineers who excel in hands-on, R&D-driven environments. You will work across lab and field settings, building solutions that may evolve into production systems.
Key Responsibilities:
* Design and build prototype applications using C#, .NET, SQL Server, and Microsoft Azure
* Develop APIs, integrations, and telemetry systems connecting software with devices and external platforms
* Build cloud-native solutions leveraging Azure, Docker, and Kubernetes
* Implement AI-assisted capabilities (automation, diagnostics, analytics, decision support)
* Rapidly develop PoCs to validate emerging technologies and workflows
* Integrate software with edge devices, sensors, and telemetry systems
* Support lab testing and field validation of integrated solutions
* Develop diagnostics, logging, and monitoring tools
* Troubleshoot across hardware, firmware, networking, cloud, and application layers.
* Define prototype objectives, success criteria, and evaluation metrics
* Document architecture decisions, trade-offs, and technical findings
* Evaluate emerging technologies such as IoT, edge computing, and AR/spatial computing
Leadership
* Contribute to architecture reviews, code reviews, and Agile workflows
* Mentor junior engineers and provide technical leadership
REQUIREMENTS:
* Bachelor's degree in Computer Science, Computer Engineering or related field
* 7-10+ years of software engineering experience
* Strong expertise in C# and .NET Technologies
* Experience with SQL Server or similar relational databases
* Background in prototyping, PoCs, or experimental systems
* Experience integrating software with hardware, or telemetry, or external systems
* Strong troubleshooting skills across distributed systems
* Experience with CI/CD, DevOps, Git, and automated testing
* Excellent communication and documentation skills
Nice to haves:
* Hands-on experience with Microsoft Azure and cloud-based development
* Experience with IoT, edge computing, or connected devices
* Background in robotics, industrial automation, transportation, aerospace, or defense
* Familiarity with device communication protocols and diagnostics
* Experience with Docker, Kubernetes, and cloud-native architectures
* Experience supporting lab and field testing environments
* Knowledge of event-driven systems and observability tools
Ideal Candidate Background:
* IoT/Edge Computing
* Robotics/Autonomous Systems
* Medical Device
* Industrial Automation
* Transportation/Connected Vehicle Platforms
* Aerospace/Defense
* Applied R&D/Prototyping Teams
* Or other similar industries
This role does not require embedded firmware or electrical engineering experience, but candidates must be comfortable working with hardware-integrated systems and solving cross-domain technical challenges.
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.