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How much do full time computational engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time computational engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computational Engineering vs Full Time Software Engineer?

AspectFull Time Computational EngineeringFull Time Software Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often includes certifications in programming or simulation toolsBachelor's or higher in computer science, software engineering, or related fields; certifications in programming languages are common
Work EnvironmentResearch labs, engineering firms, tech companies; focus on modeling, simulation, and algorithm developmentTech companies, startups, software firms; focus on application development, coding, and system design
Employer & Industry UsageUsed in aerospace, automotive, defense, and research institutionsUsed across IT, finance, healthcare, and technology sectors

Full Time Computational Engineering primarily involves developing simulations and models in engineering contexts, often requiring specialized technical skills. In contrast, Full Time Software Engineers focus on designing, coding, and maintaining software applications across various industries. While both roles require programming expertise, their work environments and industry applications differ significantly.

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The most popular types of Computational Engineering jobs are:

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The top searched job categories for Full Time Computational Engineering jobs are:

Full Time Computational Engineering jobs near you
Infographic showing various Full Time Computational Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Lead Engineer, Computational Knowledge Graph

Avathon

Pleasanton, CA • On-site

$150K - $220K/yr

Full-time

Medical, Retirement

Re-posted 19 days ago

Job description

About Neon -- Our Computational Knowledge Graph Platform

Neon is Avathon's proprietary Computational Knowledge Graph (CKG) platform that combines:

  1. Knowledge Graph -- A network of connected facts, entities, and relationships
  2. Computation Graph -- Complex analytics and computations defined on top of the knowledge graph

Neon powers decision-intelligence applications across supply chain, manufacturing, and energy domains. It enables multi-hop graph traversals, nested data operations, real-time analytics, and seamless integration with ML/AI pipelines.

About the Role

We are seeking an experienced CKG Lead Engineer to help design, develop, and scale our Neon platform. In this role, you will work on the full-stack development of our knowledge graph platform, from ontology design and schema modeling to query optimization and Python integration. You will collaborate with data scientists, product managers, and customers to build solutions that leverage Neon's unique computational capabilities. This is a mid-senior level position (5-7 years experience) that combines technical leadership with hands-on development.

You Will
  • Design and implement knowledge graph schemas, ontologies, and data models for complex domains (supply chain, manufacturing BOM, logistics)
  • Develop and optimize IQL (Intermediate Query Language) queries for multi-hop graph traversals, joins, and aggregations
  • Build data ingestion pipelines to populate and maintain knowledge graphs from diverse data sources
  • Implement computational functions and analytics on top of the knowledge graph
  • Integrate Neon with Python/NumPy for advanced analytics and ML model integration
  • Design and build APIs to expose knowledge graph capabilities to downstream applications
  • Optimize query performance for large-scale datasets (1M+ records)
  • Collaborate with product and data science teams to translate business requirements into graph solutions
  • Mentor team members on IQL, graph modeling, and Neon best practices
  • Contribute to platform roadmap and architectural decisions
You'll Have
  • 5-7 years of software engineering experience, with at least 2 years working with graph technologies or knowledge graphs
  • Strong proficiency in Python programming
  • Experience with graph databases or knowledge graph platforms (Neo4j, Amazon Neptune, TigerGraph, or similar)
  • Understanding of ontology design, schema modeling, and graph data structures
  • Experience with SQL and query optimization
  • Familiarity with REST APIs and web services architecture
  • Experience with cloud platforms (GCP preferred, AWS or Azure acceptable)
  • Strong problem-solving skills and ability to translate complex business requirements into technical solutions
  • Excellent communication skills and ability to work with cross-functional teams
  • BS or MS in Computer Science, Engineering, or related field
Preferred Qualifications
  • Experience with RDF, SPARQL, or semantic web technologies
  • Knowledge of NLP/NER pipelines for entity extraction and relationship mining
  • Experience with ML model integration and MLOps
  • Familiarity with supply chain, manufacturing, or BOM data structures
  • Experience with time series data and IoT integration
  • Knowledge of graph algorithms (shortest path, centrality, community detection)
  • Experience with data visualization for graph structures
  • Contributions to open-source graph or knowledge management projects
Key TechnologiesCategoryTechnologiesLanguagesPython (primary), Scala, IQLGraph PlatformsNeon/Maana (proprietary), Neo4j conceptsCloudGCP (primary), AWS, AzureDataSQL, NoSQL, Time Series DBsAPIsREST, GraphQL conceptsML IntegrationTensorFlow, PyTorch, NumPyCI/CDTravis CI, JenkinsInterview Process

As part of the interview process, you will be asked to complete a technical assessment.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

  • Evolving culture with the opportunity to drive new ideas and technology
  • Stock Option Grants
  • Medical Coverage and Parental Leave Plans
  • 401k with Employer Match
  • Monthly Technology Allowance
  • Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $150k - $220k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

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