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Math Software Engineer Jobs in Buffalo, NY (NOW HIRING)

Calculus 3 Tutor

Buffalo, NY · Remote

$18 - $40/hr

Adapts instruction using 3D graphing software, step-by-step parametrization guidance, and engineering-focused problems for STEM majors and advanced mathematics students. * Effective Teaching Methods:

Define system and product requirements and generate software/hardware performance and reliability ... Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics , or a related ...

Emphasizes mathematical rigor in engineering analysis and connects electrical engineering to power ... Adapts instruction using circuit simulation software, worked examples, and laboratory-connected ...

Deep knowledge of collateral characteristics, default/prepayment models, and various analytics software (Bloomberg, Yieldbook, Intex etc..) . * Quantitative degree (Math, CS, Engineering, etc.

Project Manager

Buffalo, NY · On-site

$110K - $140K/yr

We partner with top architects, engineers, and contractors to bring complex, high-performance ... Proficiency in Microsoft software (Word and Excel.) Project Management Software (for job costing ...

This role bridges the gap between teams for seamless and secure application and software ... Engineering, Mathematics/Statistics - Demonstrating proficiency in AWS CloudFormation and Azure ...

Machinist - CNC Mill

Sanborn, NY · On-site

$28 - $38/hr

You'll be programming in Mastercam/CAD at a high level, setting up complex jobs, and producing ... Write complex CNC milling programs at the machine and offline using CAD/CAM software (Mastercam ...

Showing results 21-40

Math Software Engineer information

See Buffalo, NY salary details

$61.5K

$142.9K

$199.1K

How much do math software engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for math software engineer in Buffalo, NY is $142,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $167,600.00 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.

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.

What is a math software engineer?

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.

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 cities near Buffalo, NY are hiring for Math Software Engineer jobs?

Cities near Buffalo, NY with the most Math Software Engineer job openings:

Infographic showing various Math Software Engineer job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $142,901 per year, or $68.7 per hour.

GenAI Python Systems Engineer - Experienced Associate

Pwc

Buffalo, NY • On-site

$61K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Apply a learning mindset and take ownership for your own development.
Appreciate diverse perspectives, needs, and feelings of others.
Adopt habits to sustain high performance and develop your potential.
Actively listen, ask questions to check understanding, and clearly express ideas.
Seek, reflect, act on, and give feedback.
Gather information from a range of sources to analyse facts and discern patterns.
Commit to understanding how the business works and building commercial awareness.
Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will contribute to innovative projects that leverage advanced technology. As an Associate you will focus on learning and supporting client engagements while developing your technical skills and building meaningful relationships. This role offers a unique chance to work with advanced AI techniques and cloud platforms, enhancing your knowledge in a fast-paced environment.
Responsibilities
- Build and maintain sturdy relationships with clients and team members
- Contribute to the development of solutions in a dynamic environment
- Work with team members to achieve project objectives
- Analyze data to derive insights and inform decision-making
- Uphold professional standards and ethical practices in every task
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
- At least 1 year of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate]
- Skilled in programming languages like Python, Java, or Scala
- Demonstrating competence in SQL and relational databases
- Managing containerized deployments with Docker
- Maintaining software quality through developer-led testing
- Understanding AI techniques enhancing LLMs
- Designing data architecture strategies for business needs
- Working with stakeholders to translate data requirements
- Familiarity with machine learning and data science workflows
- Monitoring and troubleshooting data pipelines, data warehouses, and workflows to promote data quality, system reliability, performance, and cost management
- Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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