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Overnight Math Software Engineer Jobs in Georgia

We are currently seeking a Software Engineer to join the Health Research & Analytics team. This ... including mathematicians, computer scientists, statisticians, epidemiologist, and engineers

Proven ability to analyze blueprints and use mathematics to evaluate/understand complex machine ... Software Engineer - Test Systems and apply now! DIVERSITY COMMITMENT: Diversity, Equity and ...

Cross-team collaboration with frontend, data engineering and devops * On-call rotation, including occasional overnight pages Collaborate with: * Product, business development, support, data ...

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Overnight Math Software Engineer information

Does Nvidia hire math majors?

Nvidia hires math majors for roles such as Overnight Math Software Engineer, especially in positions involving algorithm development, data analysis, and machine learning. Strong mathematical skills, programming experience, and knowledge of tools like Python or C++ are often required for these roles.

Can I make 200K with a computer science degree?

A Math Software Engineer with a computer science degree can potentially earn $200,000 or more annually, especially with experience, specialized skills, and working in high-paying industries like finance or tech. Salaries vary based on location, company, and expertise, and roles involving advanced algorithms, machine learning, or leadership tend to offer higher compensation.

What is the difference between Overnight Math Software Engineer vs Math Software Developer?

AspectOvernight Math Software EngineerMath Software Developer
CredentialsBachelor's in Computer Science or Mathematics, programming skillsBachelor's or higher in Computer Science or Math, coding experience
Work EnvironmentNight shifts, remote or on-site, focused on software developmentDay shifts, office or remote, involved in coding and testing
Industry UsageTech companies, educational platforms, research firmsSoftware firms, educational tech, research institutions
Search & Comparison IntentUnderstanding overnight roles in math software developmentGeneral software development in math-related fields

The Overnight Math Software Engineer typically works night shifts, focusing on developing and maintaining math-related software, often in tech or research environments. In contrast, the Math Software Developer usually works during regular hours, involved in coding, testing, and deploying math software. Both roles require similar technical skills and educational backgrounds, but differ mainly in work hours and environment.

Can you get a software engineer job with a math degree?

A math degree can be a strong foundation for an overnight math software engineer position, as it demonstrates strong analytical and problem-solving skills. Many software engineering roles value quantitative backgrounds, especially when combined with programming experience in languages like Python, C++, or Java. Additional skills such as knowledge of algorithms, data structures, and software development tools can enhance employability in this field.

Can I be a software engineer if I'm bad at math?

Being a software engineer, including an overnight math software engineer role, typically requires strong problem-solving skills and familiarity with algorithms, which often involve math. While advanced math skills can be helpful, many software engineering tasks focus on logic, coding, and system design, so basic math proficiency is usually sufficient for most roles. Continuous learning and practical experience can also improve your skills over time.
What are the most commonly searched types of Math Software Engineer jobs in Georgia? The most popular types of Math Software Engineer jobs in Georgia are:
What cities in Georgia are hiring for Overnight Math Software Engineer jobs? Cities in Georgia with the most Overnight Math Software Engineer job openings:
Associate Product Software Engineer - Systems Engineer in Test

Associate Product Software Engineer - Systems Engineer in Test

Wolters Kluwer

Kennesaw, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Wolters Kluwer rating

8.8

Company rating: 8.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies


Job description

About the Role

Join our innovative team as an Associate Product Software Engineer, where you'll have the opportunity to work with cuttingedge technologies to build, automate, and integrate software solutions that support product quality and delivery. Your role will focus on developing and maintaining automated testing solutions and integrating them into CI/CD pipelines to improve software quality, reliability, and delivery confidence across our product portfolio, contributing directly to the success and satisfaction of our users.

Responsibilities

Learning, implementation, and execution of welldefined tasks are central to this position under appropriate technical guidance. Autonomy and responsibility are expected to increase over time as skills, experience, and familiarity grow within our application domains, with growth supported through mentorship, review, and established engineering practices.

  • Automated Test Development: Assist in designing, coding, and maintaining automated unit, integration, functional, smoke, regression, and load tests.
  • Test Integration: Support the integration of automated tests into continuous integration and continuous delivery (CI/CD) pipelines to ensure automated validation from pull request through deployment.
  • Test Code Engineering: Write and maintain test code that follows established coding standards, patterns, and best practices, treating test software as productionquality code.
  • Defect Detection and Analysis: Identify, log, and assist in analyzing software defects surfaced through automated test results, logs, and metrics.
  • Collaboration Across Teams: Work collaboratively with software engineers, quality assurance engineers, DevOps engineers, and load test engineers to support an automated, endtoend SDLC.
  • ShiftLeft Testing Support: Assist in developing and maintaining testing assets alongside feature development to ensure testing occurs early in the development lifecycle.
  • Version Control and Code Review: Use source control systems to manage test code changes and participate in code reviews to ensure correctness and maintainability.
  • Debugging and Troubleshooting: Aid in debugging test failures, automation issues, pipeline problems, and environmentrelated failures.
  • Requirements and System Understanding: Develop an understanding of application behavior, system requirements, and nonfunctional expectations such as performance, availability, and reliability.
  • Quality Metrics and Coverage: Support efforts to improve test coverage, execution reliability, and confidence metrics across a large application portfolio.
  • Learning and Skill Development: Continuously learn automated testing methodologies, tools, frameworks, CI/CD practices, and AIassisted development techniques supported by the organization.

Career Growth

This role is designed to provide foundational engineering experience and exposure to largescale systems, automation practices, and modern software delivery workflows. In this organization, the role may serve as an earlycareer foundation for building skills applicable to broader software engineering development roles, with potential growth opportunities based on demonstrated capability, performance, continued learning, and organizational needs.

Progression into other engineering roles is not automatic and is evaluated using the same performance, skills, and business criteria applied across the engineering organization.

Skills

  • Software Engineering: The ability to design, develop, and maintain software systems and applications by applying principles and techniques of computer science, engineering, and mathematical analysis. This includes understanding user requirements, creating and testing software, and resolving softwarerelated issues.
  • Software Development: The ability to design, write, test, and implement software programs, applications, and systems, including familiarity with programming languages, software architecture, and testing approaches.
  • Programming: The ability to design, write, test, debug, and maintain code using languages such as Python, Java, or C++.
  • Problem Solving: The ability to analyze complex problems, identify possible approaches, and implement effective solutions.
  • Analysis: The ability to break down complex systems or issues and understand how components interact.
  • Testing: The ability to evaluate software systems and processes to identify defects and ensure quality and functionality.
  • Agile: Familiarity with agile principles emphasizing adaptability, continuous improvement, and iterative delivery.
  • Source Code Repository: The ability to use source code repositories to manage changes, collaborate with others, and participate in branching and merging workflows.
  • Relational Database: The ability to work with relational databases, including basic SQL usage and understanding of data relationships.
  • Advanced Technology Adoption and Utilization:
    • AI Tool Proficiency for basic coding, debugging, and documentation
    • AI Output Validation to verify correctness and functionality
    • Responsible AI Usage in accordance with organizational guidelines
    • Basic Agent Usage for routine development and automation tasks

Competencies

  • Analytical Skills
  • Inclusive Collaboration
  • Drive to Perform
  • Accountability
  • Functional Expertise
  • Operational Expertise
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$61,900.00 - $105,600.00 USD

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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