AI Quality Engineer to modernize and accelerate software quality engineering through AI-assisted testing and intelligent automation.
Compensation
Salary Range: $80,000 - $140,000 Annual
Responsibilities
Use GitHub Copilot to accelerate the development of automated test cases, utilities, test data solutions, API tests, and QA frameworks.
Apply Generative AI to requirements analysis, test scenario identification, test case generation, automation generation, and defect analysis.
Develop reusable prompts, instructions, skills, and engineering patterns that improve the consistency and accuracy of AI-generated QA assets.
Evaluate AI-generated tests for accuracy, stability, coverage, maintainability, and security.
Contribute to the development and enhancement of AI QA agents for requirements analysis, test design, automation generation, traceability, and defect triage.
Entry-Level or Associate Design and Analysis Engineer to join the Oklahoma City C-17 team, supporting the development, testing, and qualification of avionics software for the C-17 platform.
Compensation
Summary pay range Entry-Level(Level 1): $68,850 - $93,150
Summary pay range Associate(Level 2): $85,000 - $115,000
Responsibilities
Preparing paperwork for Lab Configuration Audits
Performing Lab Configuration Audits
Troubleshooting Software Test Bench issues
Loading Software onto LRUs
Performing Manual testing at Software Test Benches
Requirements
Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical)
Build and optimize audio runtime systems and workflows for EA SPORTS titles, collaborating with game and central teams to develop shared audio standards and pipelines.
Compensation
* British Columbia (depending on location e.g. Vancouver vs. Victoria) *$104,500 - $142,800 CAD
Responsibilities
Build audio runtime systems with visual programming and other engine scripting languages
Optimize and debug runtime audio data to work and fit within modern console limitations
Collaborate with game and central teams on building company-spanning audio standards, pipelines and shared systems
Support artists by understanding their needs and developing/improving their workflows
Document and communicate system designs, data structures, best practices, and project successes and risks to partner team members and the greater EA community
Lead a development team to design, develop, integrate, deploy, and sustain software supporting DIA’s National Digital Exploit and OSINT Center (NDOC) under a 10-year DOMEX Technology Platform contract.
Compensation
Pay Range $131,300.00 - $237,350.00
Responsibilities
Provide technical leadership for design, development, integration, deployment, and sustainment of NDOC mission applications
Collaborate with government stakeholders and engineering teams to translate mission requirements into actionable development plans
As a Senior Software Quality Assurance Engineer, you will validate the functionality, performance, and reliability of embedded networking software used in Johnson Controls fire detection solutions.
Compensation
HIRING SALARY RANGE: $98,000 - $130,000 (salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Responsibilities
Develop and execute manual and automated test strategies for embedded software and networking functionality.
Support software releases, regression testing, and defect validation activities.
Validate communication protocols, connectivity, system stability, and overall product performance.
Troubleshoot software defects through log analysis, debugging, and root cause investigation.
Test and validate next-generation fire detection system features.
Requirements
Bachelor's degree in Computer Engineering
Bachelor's degree in Electrical Engineering
Bachelor's degree in Computer Science
Nice to have: Master's degree in a related engineering discipline
Lead the development and enhancement of Bermuda Best Estimate Liability (BEL) and economic capital modeling capabilities, providing strategic risk insights to senior stakeholders.
Compensation
$155,340.00 - $255,210.00
Responsibilities
Lead hands‑on development of BEL and economic capital models from scratch
Design and implement actuarial and risk models, data pipelines, and reporting tools
Integrate data, test results, and deliver production‑ready solutions
Govern model methodology, assumptions, and documentation
Translate model outputs into actionable recommendations for product design, asset strategy, and capital usage
Requirements
Bachelor’s degree in actuarial science, mathematics, statistics, finance, or a related quantitative field
Nice to have: Associate of the Society of Actuaries (ASA)
Nice to have: Fellow of the Society of Actuaries (FSA)
Develop, plan, integrate, and deploy autonomous vehicle systems with a focus on electronics and electrical architecture, installation, setup, configuration, and maintenance.
Compensation
The current salary range for this position is as follows and may be modified in the future: $114,105 - $131,791.
Responsibilities
Develop, integrate, install, maintain, test, debug, and repair prototype autonomous vehicle electrical and electronic systems
Conduct root cause analyses and document findings
Collaborate and coordinate with colleagues in Germany or other countries on system architecture, design, configuration, modification, repair, replacement, and technical investigations of electrical and electronic components of autonomous systems
Support real world testing of autonomous systems and driver assistance systems including measurement data handling
Plan and track progress of electrical/electronic tasks using agile development processes
Lead the design and development of complex cloud products and platforms, ensuring scalable, robust solutions.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 148,500 - 281,500 in Colorado // 160,000 - 304,000 in Massachusetts
Responsibilities
Lead the project team for design and development of complex products and platforms
Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards
Provides tangible feedback to improve product quality and mitigate risks
Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members
Drives innovation and integration of new technologies into projects and activities in the software systems design organization
Requirements
Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline
Join the team building the platform that helps organizations create and operate AI-powered experiences at scale, focusing on making complex AI consumption accurate, explainable and dependable.
Compensation
The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Design and build scalable, reliable and secure cloud services, setting technical direction for resilient architecture and maintainable software.
Translate customer and business needs into technical architecture and delivered solutions, balancing long-term service goals with practical execution.
Collaborate across engineering, product and partner teams to clarify requirements, align interfaces and dependencies, and resolve technical trade-offs.
Own the end-to-end service lifecycle, from design and implementation through testing, deployment and operations, continuously improving quality and service health.
Provide hands-on technical leadership through production code, design and code reviews, and mentoring that strengthens engineering judgment and delivery across teams.
Requirements
Bachelor's Degree in Computer Science or related technical field