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Remote Robotics Engineer Jobs in Connecticut (NOW HIRING)

Relativity

Software Engineer

Bridgeport, CT · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ...

Cardinal Health

Software Engineer

Hartford, CT · Remote

... engineering practices. This job family programs and configures end user applications, systems ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

Atlas Technica

Systems Engineer - Hybrid

Stamford, CT · On-site +1

Systems Engineer - Hybrid Reports to: Client Technology Manager Location/Type: Stamford, CT Status: Non-Exempt Atlas Technica's mission is to shoulder IT management, user support, and cybersecurity ...

Zaelab

General Application

Westport, CT · Remote

Developers & Engineers * Delivery & Engagement Leaders * Product, Platform, and Integration Specialists Whether your background is functional, technical, or strategic, we're interested in people who ...

Zaelab

General Application

Westport, CT · On-site +1

Developers & Engineers * Delivery & Engagement Leaders * Product, Platform, and Integration Specialists Whether your background is functional, technical, or strategic, we're interested in people who ...

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All JobsRobotics Engineer JobsRemote Robotics Engineer JobsRemote Robotics Engineer Jobs in Connecticut

Remote Robotics Engineer information

See Connecticut salary details

$27.6K

$100.5K

$160.8K

How much do remote robotics engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote robotics engineer in Connecticut is $100,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $120,800.00 per year, depending on experience, location, and employer.

Is robotics a dead field?

Robotics is an active and growing field with applications in manufacturing, healthcare, logistics, and research. Robotics engineers work with sensors, automation systems, and programming languages like Python and C++, and the demand for skilled professionals continues to increase as technology advances.

What engineers make $300,000 a year?

Senior robotics engineers with extensive experience, advanced skills in automation, AI, and control systems, and often working in specialized industries or leadership roles can earn $300,000 or more annually. High compensation is typically associated with seniority, advanced certifications, and working in high-demand sectors such as aerospace, defense, or large tech companies.

What engineers make $500,000?

Senior robotics engineers with extensive experience, advanced skills in automation, AI, and control systems, and often working in specialized industries or leadership roles can earn salaries approaching or exceeding $500,000 annually. High compensation typically involves a combination of base salary, bonuses, stock options, and other incentives, especially in large tech companies or startups. Achieving this level often requires advanced degrees, certifications, and a strong track record of innovation and leadership in robotics engineering.

What is a Remote Robotics Engineer job?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Remote Robotics Engineer position, and why are they important?

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

Can a Robotics Engineer work remotely?

Yes, many Robotics Engineers can work remotely, especially those involved in software development, simulation, and system design. However, roles that require hands-on work with hardware or on-site testing may necessitate in-person presence. Remote work opportunities depend on the employer, project requirements, and the engineer's skills with tools like CAD, programming languages, and remote collaboration platforms.

What are some typical challenges a Remote Robotics Engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What are the most commonly searched types of Robotics Engineer jobs in Connecticut? The most popular types of Robotics Engineer jobs in Connecticut are:
What are popular job titles related to Remote Robotics Engineer jobs in Connecticut? For Remote Robotics Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Engineer jobs in Connecticut look for? The top searched job categories for Remote Robotics Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Robotics Engineer jobs? Cities in Connecticut with the most Remote Robotics Engineer job openings:
Remote Robotics Engineer jobs near you
Knowledge Graph Engineer / Ontologist

Knowledge Graph Engineer / Ontologist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 23 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

53rd of 261 rated insurance

Job description

Dir Data Engineering - GE06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Ontologist (Knowledge Graph Engineer) is responsible for designing, implementing, and operationalizing enterprise semantic models, ontologies, and knowledge representations that provide meaning, context, and explainability for AI-driven analytics, agentic systems, and decision automation.
This role ensures that business concepts, entities, relationships, and behaviors are explicitly modeled and consistently applied across data products and AI systems, enabling reuse, trust, reasoning, and scalable AI adoption across Customer, Operations, and Enterprise domains. This role is part of the Customer Data Ecosystem (CDE) and operates at the intersection of business semantics, data architecture, and AI enablement, translating complex domain knowledge into production-ready semantic assets that are consumable by both humans and machines.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • Lead the design and execution of enterprise-scale semantic layers to standardize business meaning and enable trusted analytics, AI, and Agentic use cases.
  • Define and operationalize ontologies, context graphs, and knowledge graphs across domains to power reasoning, explainability, and decision intelligence.
  • Enable semantic-first AI and Agentic analytics, ensuring LLMs and agents can consume governed business context, metrics, and rules.
  • Define canonical semantic vocabularies that standardize meaning across structured and unstructured data sources.
  • Drive production-scale execution of semantic and knowledge platforms with strong standards for performance, governance, security, and lifecycle management.
  • Evangelize Agentic Data Engineering, driving adoption through patterns, playbooks, and real-world deployments across the enterprise.
  • Define and promote standards and best practices for semantic modeling and ontology reuse across delivery teams.
  • Partner with architects and engineers to embed semantic models into data products, AI pipelines, and activation layers.
  • Work closely with AI Data Architects and AI Data Engineers to operationalize ontologies into production systems (e.g., via graphs, metadata services, APIs).
  • Align ontologies with enterprise data governance, lineage, and quality standards.
  • Enable explainability by ensuring AI outputs can be traced back to governed semantic definitions.
  • Serve as the enterprise authority on semantic engineering and ontology practices.
  • Contribute to communities of practice, reference guidance, and internal enablement materials.

Skills & Experience
  • 8-12+ years of hands-on experience in semantic layer architecture, ontology modeling, and knowledge graph design at enterprise scale.
  • Deep, hands-on expertise with RDF, OWL (OWL2), RDFS, SKOS, SPARQL (querying, optimization, semantic analytics), and W3C semantic web standards
  • Proven experience designing and operating knowledge graphs at enterprise scale
  • Hands-on experience with graph or triple-store technologies (e.g., Neo4j, Neptune, TigerGraph, Spanner Graph)
  • Experience integrating knowledge graphs with LLMs, RAG pipelines, vector stores, and Agentic frameworks.
  • Strong understanding of AI consumption patterns, including embeddings, grounding, and explainability
  • Experience integrating semantic layers with data platforms, APIs, metadata systems, and AI pipelines
  • Ability to translate complex domain knowledge into formal, machine-readable semantic structures
  • Strong understanding of context-aware data engineering and semantic interoperability.
  • Proven ability to move from strategy → pilot → scaled enterprise capability.
  • Strong executive influence and thought leadership in Agentic analytics and AI-native data engineering.
  • Hands-on experience with AWS, GCP, and Snowflake
  • Excellent communication, presentation, and leadership skills.

Education, Certifications and Licenses
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent work experience.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$156,000 - $234,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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