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Google Software Engineer Jobs in Philadelphia, PA

Srinav Inc.

AI Software Developer

Plymouth Meeting, PA · On-site

AI Software Developer Location: Plymouth Meeting, PA/NY/NJ/CT Duration: Longterm Your future duties ... Experience deploying AI solutions on cloud platforms including Azure, AWS, or Google Cloud.

New

Nuuly

Nuuly Services Software Engineer

Philadelphia, PA · On-site

You'll also need a reasonable amount of aptitude in designing and integrating Kubernetes services with cloud based platform APIs such as Google Cloud, AWS, or Azure. As an Engineer you'll also bring ...

Nuuly

Nuuly Services Software Engineer

Philadelphia, PA · On-site

You'll also need a reasonable amount of aptitude in designing and integrating Kubernetes services with cloud based platform APIs such as Google Cloud, AWS, or Azure. As an Engineer you'll also bring ...

Aveva

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

Experienced Software Developer Qualifications: Experience designing and developing in C#/.NET ... Experience developing cloud-native applications on Microsoft Azure (AWS or Google Cloud experience ...

AVEVA

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

Experienced Software Developer Qualifications: Experience designing and developing in C#/.NET ... Experience developing cloud-native applications on Microsoft Azure (AWS or Google Cloud experience ...

Deloitte

Google AI Architect

Philadelphia, PA · On-site

... Engineering or a related technical field. * 6+ years' experience as a Software or Solution ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

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All JobsGoogle Software Engineer JobsGoogle Software Engineer Jobs in Philadelphia, PA

Google Software Engineer information

See Philadelphia, PA salary details

$64.1K

$148.9K

$207.4K

How much do google software engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for google software engineer in Philadelphia, PA is $148,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $174,600.00 per year, depending on experience, location, and employer.

What is a Google software engineer?

A Google Software Engineer is responsible for designing, developing, testing, and maintaining software solutions that power Google's products and services. They work on large-scale systems, collaborate with cross-functional teams, and use languages like C++, Java, and Python. Engineers at Google solve complex technical challenges and contribute to high-performance, scalable applications.

What does a Google software engineer do?

Google Software Engineers typically work in cross-functional teams alongside product managers, UX designers, and other engineers. You'll regularly participate in code reviews, design discussions, and agile ceremonies to ensure the delivery of high-quality software. Collaboration often extends beyond the immediate team, offering opportunities to share knowledge, mentor peers, and contribute to company-wide technical initiatives. This team-oriented approach allows engineers to learn from different perspectives, accelerate their growth, and deliver more impactful solutions.

What are the key skills and qualifications needed to thrive as a Google software engineer?

To thrive as a Google Software Engineer, you need strong skills in computer science fundamentals, programming (particularly in languages like Java, C++, or Python), and a relevant degree or equivalent experience. Familiarity with advanced development tools, distributed systems, cloud infrastructure (such as Google Cloud Platform), and sometimes technical certifications is highly valued. Excellent problem-solving abilities, communication, and teamwork are standout soft skills in this environment. These skills are essential for building scalable products, collaborating in high-impact teams, and driving innovation at a large tech company.

Does Google still hire software engineers?

Yes, Google continues to hire software engineers to support its technology development, product teams, and infrastructure. The company regularly posts job openings requiring skills in programming, data structures, and cloud technologies, and the hiring process typically involves technical interviews and coding assessments.

Is it hard to get a job at Google as a software engineer?

Getting a software engineering job at Google is competitive, requiring strong technical skills, including proficiency in algorithms, data structures, and coding in languages like Python or C++. Candidates typically go through multiple interview rounds assessing problem-solving, system design, and technical knowledge. A solid educational background and relevant experience can improve chances, but the process remains rigorous due to high standards and demand for top talent.

What are popular job titles related to Google Software Engineer jobs in Philadelphia, PA?

For Google Software Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Google Software Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Google Software Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Google Software Engineer jobs?

Cities near Philadelphia, PA with the most Google Software Engineer job openings:

Google Software Engineer jobs near you
Infographic showing various Google Software Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $148,864 per year, or $71.6 per hour.

AI Software Developer

Srinav Inc.

Plymouth Meeting, PA • On-site

Other

Posted 3 days ago

New

Job description

Job Title: AI Software Developer
Location: Plymouth Meeting, PA/NY/NJ/CT
Duration: Longterm
 
 
Your future duties and responsibilities
. Design and build AI capabilities embedded throughout enterprise products, including agentic workflows, retrieval systems, and reasoning engines.
. Develop production-grade AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, and vector databases.
. Implement multi-agent orchestration using frameworks such as LangGraph, CrewAI, Semantic Kernel, or Model Context Protocol (MCP).
. Build AI capabilities including document intelligence, knowledge retrieval, planning, reasoning, and AI-assisted decision support.
. Design and optimize data extraction, classification, embedding, and indexing pipelines.
. Integrate AI and LLM services with enterprise APIs, document repositories, and business workflows.
. Evaluate and improve model performance, reliability, accuracy, and observability through monitoring, testing, and drift detection.
. Partner closely with software engineers, product managers, and architects to deliver scalable AI services through well-designed APIs.
. Document AI architecture, prompt engineering strategies, agent workflows, and evaluation methodologies while promoting engineering best practices.
Required qualifications to be successful in this role
. 5+ years of software engineering experience, including at least 3 years developing production-grade AI/LLM applications beyond proof-of-concept or notebook development.
. Experience developing enterprise B2B SaaS products with embedded AI capabilities.
. Hands-on experience with one or more multi-agent orchestration frameworks such as LangGraph, CrewAI, Semantic Kernel, or MCP.
. Strong experience designing and implementing Retrieval-Augmented Generation (RAG), vector database, and semantic search solutions.
. Advanced Python development experience, including FastAPI or similar frameworks for AI service development.
. Experience integrating LLM-based applications with enterprise data sources, APIs, and business workflows.
. Strong analytical, problem-solving, and collaboration skills with the ability to communicate technical concepts effectively.
Preferred Qualifications:
. Experience building AI-native enterprise products comparable in complexity to Harvey AI, Cursor, Notion AI, Linear, Canva, or similar platforms.
. Experience in regulated industries such as Life Sciences, Clinical Research, Healthcare, or Pharmaceuticals.
. Experience with Intelligent Document Processing (IDP) solutions such as Azure AI Document Intelligence.
. Experience deploying AI solutions on cloud platforms including Azure, AWS, or Google Cloud.
. Familiarity with MLOps, AI observability, model evaluation frameworks, and responsible AI practices.
 

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