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Math Software Engineer Jobs in Delaware (NOW HIRING)

Delaware Solid Waste Authority

Engineer

Dover, DE · On-site

Manages the Drone Program and the Propeller Software * Manages the GIS Program and the ESRI ... Knowledge of mathematical and statistical concepts. Knowledge of applicable state, federal and ...

Delaware Solid Waste Authority

Engineer

Dover, DE

Manages the Drone Program and the Propeller Software * Manages the GIS Program and the ESRI ... Knowledge of mathematical and statistical concepts. Knowledge of applicable state, federal and ...

Hologic Inc.

Systems Engineer

Newark, DE

$78K - $122K/yr

... software components. * Knowledge across multiple engineering disciplines. * Strong critical thinking, analytical, and problemsolving skills. * Familiarity with physical and mathematical modeling ...

Hologic

Systems Engineer

Newark, DE · On-site

$78K - $122K/yr

... software components. * Knowledge across multiple engineering disciplines. * Strong critical thinking, analytical, and problem-solving skills. * Familiarity with physical and mathematical modeling ...

Marencor

UI Developer/ React/Node

Wilmington, DE · On-site

$165 - $180/hr

They are responsible for updating and/or enhancing existing software capabilities applying principles and techniques of computer science, engineering, and mathematical analysis. Core Responsibilities:

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$63.6K

$147.7K

$205.7K

How much do math software engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for math software engineer in Delaware is $147,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $173,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Math Software Engineer, and why are they important?

To thrive as a Math Software Engineer, you need a strong background in mathematics, computer science, and algorithm development, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or MATLAB, along with experience using mathematical libraries and tools like NumPy or SciPy, is essential. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills that enhance performance in this role. These skills ensure the development of robust, efficient, and accurate mathematical software solutions that meet complex computational requirements.

What engineers make $300,000 a year?

Senior software engineers, especially those working in high-demand fields like finance, technology, or with expertise in specialized skills such as machine learning or cloud computing, can earn $300,000 or more annually. Roles in leadership, such as engineering managers or principal engineers, and those at large tech companies or startups with equity compensation, often reach this level with experience and advanced skills.

How do Math Software Engineers typically collaborate with other teams during the development process?

Math Software Engineers often work closely with cross-functional teams, such as data scientists, product managers, and front-end developers, to ensure mathematical models and algorithms are accurately implemented in software products. Collaboration involves regular meetings to discuss requirements, problem-solving sessions to address computational challenges, and code reviews for maintaining mathematical integrity. Communicating complex mathematical concepts in an accessible way is a key part of the role, enabling teams to create robust and efficient solutions that meet user needs.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians as part of their scientific and technical staff, often in roles related to cryptography, data analysis, and cybersecurity. These positions typically require strong analytical skills, a background in mathematics or related fields, and security clearances. Mathematicians in the FBI may work on intelligence analysis, code-breaking, or developing algorithms for investigations.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like machine learning, data science, or working at large tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive or executive-level roles.

What are Math Software Engineers?

Math Software Engineers are professionals who design, develop, and optimize software that performs complex mathematical computations. They often work on algorithms, numerical analysis, and simulation tools used in scientific research, finance, engineering, or data analysis. Their work ensures that mathematical models and computations are both accurate and efficient within various applications. Math Software Engineers typically have a strong background in mathematics, computer science, and programming languages such as Python, C++, or MATLAB.

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

A math degree can be a strong foundation for a software engineer position, especially when combined with programming skills in languages like Python, Java, or C++. Many software engineering roles value analytical thinking and problem-solving skills gained through mathematics, and additional experience with software development tools and algorithms can improve job prospects.

What is the difference between Math Software Engineer vs Data Scientist?

AspectMath Software EngineerData Scientist
Required CredentialsBachelor's or higher in Computer Science, Mathematics, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentSoftware development teams, R&D labs, tech companiesData analysis teams, research departments, tech firms
Industry UsageDeveloping algorithms, modeling, simulationData analysis, predictive modeling, insights generation

Math Software Engineers focus on developing mathematical algorithms and software solutions, often working on simulations and modeling. Data Scientists analyze data to extract insights and build predictive models. While both roles require strong math skills, Math Software Engineers are more involved in software development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Math Software Engineer jobs in Delaware? For Math Software Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Math Software Engineer jobs in Delaware look for? The top searched job categories for Math Software Engineer jobs in Delaware are:
What cities in Delaware are hiring for Math Software Engineer jobs? Cities in Delaware with the most Math Software Engineer job openings:
Math Software Engineer jobs near you
Sr Manager of Software Engineering

Sr Manager of Software Engineering

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 5 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Job Description
When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorgan Chase within Corporate Technology - Treasury & CIO (TCIO) Finance Technology team, you will lead and coach multiple engineering teams while shaping the technical strategy for platforms that power internal funding and Net Interest Income (NII). You will anticipate cross-functional dependencies across Finance, Risk, Treasury, and Infrastructure, and your insights will inform budget and technical decisions that advance efficiency, resiliency, and control.
Job responsibilities
  • Provide direction, oversight, and coaching to teams of entry- to mid-level software engineers delivering solutions for internal funding, NII, and related accounting/finance use cases.
  • Manage accountability for decisions impacting team resources, budget, tactical operations, and the execution of processes and procedures across multiple pipelines and services.
  • Ensure successful collaboration across Finance, Risk, Treasury, SRE, and Data Platform stakeholders to deliver secure, scalable, and well-controlled solutions.
  • Identify and mitigate issues to execute the book of work; escalate risks proactively and drive remediation plans.
  • Manage platform strategy and modernization (cloud-first, data-first), including AI enablement for efficiency, anomaly detection, and automation of controls.
  • Champion engineering best practices for big data processing (Databricks, Spark), microservices (Java/Python), API design, CI/CD, observability, and resiliency.
  • Manage logical explanations and finance-grade controls (data lineage, reconciliations, validations) that meet accounting and reporting standards.
  • Create a culture of diversity, opportunity, inclusion, and respect, with emphasis on mentorship, talent development, and thought leadership.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
  • Experience leading multiple teams; ability to guide and coach on achieving goals aligned to strategic initiatives and regulatory timelines.
  • Proven track record hiring, developing, and recognizing engineering talent; strong mentorship and people leadership.
  • Deep understanding of finance and accounting concepts related to internal funding and NII (e.g., accruals, FTP/base rate curves, interest calculation logic, ledger alignment).
  • Practical cloud-native experience, in AWS (compute, storage, networking, security).
  • Proficiency with Databricks/Spark for large-scale data processing; strong coding skills in Python and Java; familiarity with data pipelines and controls.
  • Experience in Computer Science, Engineering, Mathematics, or a related field, with expertise across core technology disciplines (APIs, data, platform engineering).

Preferred qualifications, capabilities, and skills
  • Experience producing high-quality code and design at a senior level; ability to set standards, review designs, and drive technical direction.
  • Background in AI/ML enablement for operational efficiency, quality controls, and anomaly detection in finance data.
  • Familiarity with finance technology operating models, controls, and audit/regulatory expectations; experience coordinating with Finance and Risk stakeholders.
  • Demonstrated success driving platform modernization (cloud migration, data platform evolution) while managing day-to-day inefficiencies and scaling engineering practices.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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