1

Internship Software Engineer Applied Math Jobs in Pennsylvania

Senior Software Engineer

Pittsburgh, PA · On-site

$118.90K - $156.80K/yr

Required : • BS/MS/Phd in Computer Science, Applied Mathematics, Data Science, or a related field ... software to accelerate innovation in the engineering design of silicon to systems. Founded in 1988 ...

We are seeking a skilled Software Engineer to join our development team and contribute to the ... Strong mathematical aptitude, including applied problem-solving and analytical reasoning.

$109.30K - $191K/yr

... Science, Applied Mathematics, or Computer Science * Version control software such as Git ... Bachelor's Degree - Engineering or Science 14+ years of relevant experience Required Certifications:

$76.70K - $129.50K/yr

A degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Engineering Science, Physics, Applied Mathematics, or Computer Science * Version control software such as Git

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

next page

Showing results 1-20

Internship Software Engineer Applied Math information

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

AspectInternship Software Engineer Applied MathInternship Data Scientist
Required SkillsProgramming, applied mathematics, algorithmsStatistics, programming, data analysis
Work EnvironmentTech companies, R&D labs, financeTech firms, consulting, research
Common Industry UsageSoftware development, modelingData analysis, predictive modeling

Internship Software Engineer Applied Math focuses on applying mathematical techniques to software development and algorithm design, often in tech and finance sectors. In contrast, Internship Data Scientist emphasizes analyzing data to extract insights, using statistical and machine learning methods. Both roles require programming skills, but their core focus and industry applications differ.

What are the most commonly searched types of Software Engineer Applied Math jobs in Pennsylvania? The most popular types of Software Engineer Applied Math jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Internship Software Engineer Applied Math jobs? Cities in Pennsylvania with the most Internship Software Engineer Applied Math job openings:
Infographic showing various Internship Software Engineer Applied Math job openings in Pennsylvania as of May 2026, with employment types broken down into 29% Internship, 43% Full Time, 14% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution.
Senior Software Engineer

Senior Software Engineer

Cadence

Pittsburgh, PA • On-site

$118.90K - $156.80K/yr

Full-time

Posted 10 days ago


Job description

Job Summary:
Cadence is a technology company focused on developing leaders and innovators. They are seeking a passionate Senior Software Engineer to join their Virtuoso place and route infrastructure team to enhance the routing foundation using advanced math, computer science, graph theory, and machine learning.
Responsibilities:
• Ability to work in a fast-paced research and development environment.
• Strong analytical thinking and debugging skills.
• Experience with rapid prototyping in open-source AI/ML projects.
Qualifications:
Required:
• BS/MS/Phd in Computer Science, Applied Mathematics, Data Science, or a related field.
• 10+ years of experience.
• Strong foundation in machine learning, deep learning, and natural language processing (NLP) and LLM.
• Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc.
• Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
• Comfortable working with LLM APIs and integrating them into applications.
• A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.
• Proficiency in Python is essential. C++ also valuable.
• Ability to work in a fast-paced research and development environment.
• Strong analytical thinking and debugging skills.
• Experience with rapid prototyping in open-source AI/ML projects.
Preferred:
• Domain knowledge in analog circuits design and layout, and VLSI design flow is preferred
Company:
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Founded in 1988, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.