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Digital Twin Engineer Jobs in Oregon (NOW HIRING)

Senior Software Engineer, Digital Twin Platform

OR · On-site +1

$122K - $161K/yr

... digital twin. * Collaborate closely with machine learning engineers, computer vision engineers, product teams, and data scientists to move models and data pipelines from research to production.

OR

$135K/yr

... Twin/Digital Thread framework for additive manufacturing. * Define and mitigate risks and opportunities. * Apply business process improvement practices to re-engineer methodologies and principles.

OR

$135K/yr

... Twin/Digital Thread framework for additive manufacturing. * Define and mitigate risks and opportunities. * Apply business process improvement practices to re-engineer methodologies and principles.

Principal Technical Manufacturing Architect

OR · On-site +1

$155K - $204K/yr

The ideal candidate collaborates closely with Operations, Engineering, IT, and MES stakeholders to ... Serve as the technical architect and subjectmatter expert for INFICON FPS Digital Twin for ...

Hands-on experience with real-time 3D workflows, developer libraries, SDKs, APIs, simulation, rendering, or digital twin technologies. * Familiarity with OpenUSD, 3D application pipelines, Omniverse ...

Customer Success Manager - Boston

OR · On-site +1

$110K - $135K/yr

... digital twin visibility, and AI-assisted network diagnosis. You'll do this by building deep ... Build and own multi-threaded stakeholder maps across IT Operations, Network Engineering, and ...

Customer Success Manager - Austin, TX

OR · On-site +1

$110K - $135K/yr

... digital twin visibility, and AI-assisted network diagnosis. You'll do this by building deep ... Build and own multi-threaded stakeholder maps across IT Operations, Network Engineering, and ...

Work closely with product and engineering teams to ensure seamless integration and interoperability ... Digital Twin of an Organization (DTO) Solution, and the Customers' Choice in 2023 Gartner Peer ...

Digital Twin Engineer information

See Oregon salary details

$85.1K

$147.4K

$193K

How much do digital twin engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for digital twin engineer in Oregon is $147,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,800.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a digital twin engineer?

A Digital Twin Engineer is a professional who designs, develops, and maintains digital replicas of physical assets, systems, or processes. These virtual models use real-time data to simulate, predict, and optimize performance, allowing organizations to improve efficiency, detect problems early, and make data-driven decisions. Digital Twin Engineers typically work in industries such as manufacturing, energy, automotive, and smart cities, leveraging technologies like IoT, AI, and simulation software to create and manage digital twins.

What are the key skills and qualifications needed to thrive as a digital twin engineer?

To thrive as a Digital Twin Engineer, you need a strong background in systems engineering, data modeling, simulation, and a relevant engineering or computer science degree. Familiarity with digital twin platforms (such as Siemens NX, ANSYS Twin Builder), IoT frameworks, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable effective design, monitoring, and optimization of virtual models, ensuring accurate real-time insights for operational decision-making.

What are some common challenges digital twin engineers face when integrating real-time data from physical assets?

Digital Twin Engineers often encounter challenges related to data quality, connectivity, and system interoperability when integrating real-time data from physical assets. Ensuring that sensors and IoT devices reliably provide accurate, timely data can be complex, especially in large-scale or legacy environments. Additionally, aligning data formats and protocols between various systems requires strong problem-solving and collaboration with IT and operations teams. Overcoming these hurdles is crucial for building effective digital twins that deliver actionable insights.

What is the difference between Digital Twin Engineer vs Data Engineer?

AspectDigital Twin EngineerData Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related fields; knowledge of IoT, simulation, and modelingBachelor's in Computer Science, Data Science, or related fields; expertise in databases, ETL, and data pipelines
Work EnvironmentIndustrial settings, manufacturing, IoT platforms, simulation labsData centers, cloud platforms, analytics teams, software development environments
Employer & Industry UsageManufacturing, aerospace, energy, smart citiesTech companies, finance, healthcare, e-commerce

The Digital Twin Engineer focuses on creating virtual replicas of physical assets for simulation and monitoring, often working in industrial environments. In contrast, Data Engineers build and maintain data pipelines and infrastructure to support data analysis across various industries. While both roles require technical skills, their applications and environments differ significantly.

What are popular job titles related to Digital Twin Engineer jobs in Oregon?

For Digital Twin Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Digital Twin Engineer jobs in Oregon look for?

The top searched job categories for Digital Twin Engineer jobs in Oregon are:

What cities in Oregon are hiring for Digital Twin Engineer jobs?

Cities in Oregon with the most Digital Twin Engineer job openings:

Infographic showing various Digital Twin Engineer job openings in Oregon as of August 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $147,352 per year, or $70.8 per hour.

Senior Software Engineer, Digital Twin Platform

Instacart

OR • On-site, Remote

$122K - $161K/yr

Full-time

Posted 7 days ago


Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

42nd of 64 rated delivery companies


Job description

Overview

The Digital Twin Platform team at Instacart is responsible for understanding exactly what is on store shelves at all times. Inventory estimates power some of the most important product experiences at Instacart, from search and advertising to logistics and fulfillment. We own the end-to-end data supply chain - from ingestion and integration of partner data sources to collecting inventory observations, to model development, serving, and integrations across our products.

We are looking for a highly motivated Senior Software Engineer to join our team. You will be instrumental in building our next generation platforms for understanding where products are in a store - think: platforms that provide the precision and depth of a smart warehouse but scaled to every local store. In close collaboration with machine learning engineers, computer vision engineers, product teams, and data scientists, you will enable sophisticated models and data collection platforms to scale while driving new product innovation.

This is a chance to roll up your sleeves with a team that goes far together, solves creatively, and grows the pie by making the entire grocery ecosystem more efficient. We move quickly, work through ambiguity, and focus on delivering real impact for our customers, shoppers, retailers, and the broader business.

You can read more about some of the things our team is doing here: democratizing AI for grocers of all sizes and advancing real-time shelf intelligence.

About the Job
  • Design, build, and operate the platforms and services that power a real-time understanding of products on store shelves across our network.
  • Develop data ingestion, processing, and serving systems that combine partner data, inventory observations, and machine learning outputs into a reliable, scalable digital twin.
  • Collaborate closely with machine learning engineers, computer vision engineers, product teams, and data scientists to move models and data pipelines from research to production.
  • Take on ambiguous, large-scale challenges across mapping, inventory, logistics, and computer vision, balancing fast delivery with long-term architectural quality.
  • Contribute to a culture of ownership and continuous improvement, where we serve our users generously, put ideas on the table with transparency, and go far together as a team.
About YouMinimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
  • 5+ years of software engineering experience designing, building, and operating large-scale production systems.
  • Strong proficiency in at least one backend programming language such as Python, Java, Scala, or Go, and experience with SQL.
  • Experience with distributed systems, data pipelines, and cloud infrastructure such as AWS, GCP, or Azure.
  • Track record of shipping production software with a focus on reliability, testing, observability, and maintainability.
Preferred Qualifications
  • Experience with machine learning infrastructure, computer vision, image-based data pipelines, or annotation platforms.
  • Experience with real-time, streaming, or geospatial services and systems in production.
  • Experience building data-intensive products in e-commerce, retail, logistics, or grocery.
  • Experience with edge devices, IoT, or hardware-software integration.
  • Familiarity with data processing frameworks such as Spark, Kafka, or Airflow.

#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012