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Eda Tools Software Engineer Jobs in Arizona (NOW HIRING)

Relativity

Software Engineer

Phoenix, AZ · On-site

Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices * Participate in pair programming to improve software quality and share design and ...

Socket.dev

Advanced Software Engineer

Phoenix, AZ · On-site

This role is responsible for a variety of professional-level engineering responsibilities and requires the application of advanced knowledge of software engineering disciplines, processes, and tools ...

Sapsol Technologies Inc

Software Engineer

Phoenix, AZ · On-site

Experience with software development tools, version control systems, and continuous integration ... test), engineering tools (montpa, x-scribe, managing and developing other tools to help), jira ...

Sapsol Technologies Inc

Software Engineer

Phoenix, AZ · On-site

Experience with software development tools, version control systems, and continuous integration ... test), engineering tools (montpa, x-scribe, managing and developing other tools to help), jira ...

RTA Fleet

Software Engineer

Glendale, AZ · On-site +1

$160K - $190K/yr

Software Engineer III (Coordinator of Code) $160k - $190k / year Fully remote Description RTA is an ... You maintain the context files, rules, and prompts that make those tools work for a whole team, not ...

Intel

Silicon Packaging Design Engineer

Phoenix, AZ · On-site

$135K/yr

Intel seeks a motivated and innovative Silicon Packaging Design Engineer to join our team, driving ... Proficiency in custom layout and Auto-place-and-route EDA tools including Virtuoso, Innovus ...

Ron Turley Associates LLC

Software Engineer

Glendale, AZ · On-site

$160K - $190K/yr

Description Software Engineer III (Coordinator of Code) $160k - $190k / year Fully remote ... You maintain the context files, rules, and prompts that make those tools work for a whole team, not ...

ApplyMint

Software Engineer

Glendale, AZ · On-site

As a Software Engineer on the Search Acceleration team, you will design and build foundational ... Experience with infrastructure‑as‑code and cloud automation tools such as Terraform, Helm, or ...

Connexta

Software Engineer

Phoenix, AZ · On-site

Octo specializes in providing agile software engineering, user experience design, cloud services ... Agile, Scrum processes or tools * Eclipse/IntelliJ * Maven * JUnit * CXF SOAP and REST web services

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Eda Tools Software Engineer information

What is the difference between Eda Tools Software Engineer vs PCB Design Engineer?

AspectEda Tools Software EngineerPCB Design Engineer
Required CredentialsBachelor's in Computer Science or Electrical Engineering; knowledge of EDA toolsBachelor's in Electrical Engineering or related; PCB design certifications
Work EnvironmentSoftware development teams, EDA tool companies, tech firmsElectronics manufacturing, design firms, R&D labs
Industry UsageDevelops and maintains EDA software tools used in PCB and IC designDesigns printed circuit boards for electronic products

The main difference is that Eda Tools Software Engineers focus on developing software tools used for PCB and IC design, while PCB Design Engineers specialize in creating the physical layouts of printed circuit boards. Both roles require electrical engineering knowledge but serve different stages of the electronic product development process.

What cities in Arizona are hiring for Eda Tools Software Engineer jobs?

Cities in Arizona with the most Eda Tools Software Engineer job openings:

Infographic showing various Eda Tools Software Engineer job openings in Arizona as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Software Engineer

Phoenix, AZ • On-site

Relativity
See more jobs at Relativityexternal

Other

Medical, Retirement

Re-posted 21 days ago

Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting

Apply