Work under the guidance of the VDC Process Engineer to analyze and refine VDC workflows for improved efficiency and accuracy.
Support the implementation of process improvements by documenting standard operating procedures and best practices.
Assist VDC process documentation, ensuring it remains current and accessible to project teams.
Troubleshoot and resolve process-related issues in collaboration with the VDC Process Engineer and other team members.
Assist in evaluating and deploying new tools, technologies, and automation strategies as directed by the VDC Process Engineer.
Requirements
High School Diploma or GED required
Associate’s or Bachelor’s degree in Drafting/Design Technology, Architecture, Engineering (Civil, Structural, MEP), or Construction Management preferred
Maintain all CI/CD processes, tooling, and infrastructure that support a cross‑functional development organization.
Responsibilities
Research, design, implement, and continuously improve end‑to‑end CI/CD pipelines that support Windows (PowerShell) and Linux (Ansible) based development workflows.
Architect and maintain automated provisioning pipelines from bare‑metal host initialization through full system configuration and readiness validation.
Design DevOps processes and tooling for air‑gapped deployment scenarios, ensuring the full system stack can be delivered and operated independently at integrator and customer sites without cloud connectivity.
Drive infrastructure‑as‑code practices across all compute, network, storage, and firewall elements within the tool’s embedded data center.
Define and enforce pipeline standards, testing gates, code quality checks, and release management processes across the engineering organization.
Requirements
Academic degree in Computer Science, Software Engineering, Information Systems, or a related technical field
Perform data analysis across the development portfolio
Support site screening and buildability assessments
Conduct market and industry research
Build and maintain dashboards and analytical tools
Support executive reporting and portfolio reviews
Requirements
Bachelor’s or Master’s degree in Engineering, Construction Management, Business Management, Economics, Mathematics, Accounting, Finance, STEM, Data Science, Human Resources, or a related field
Motivated summer intern to develop and apply computational approaches to biological questions in target safety research within the Computational Toxicology group.
Compensation
The expected salary range for this position based on the primary location of California is $41.00-$52.00 hourly.
Responsibilities
Develop reproducible computational workflows to integrate and analyze single-cell transcriptomic and multi-omics datasets.
Characterize in vitro models and assess their biological relevance through quantitative analyses and comparisons with reference datasets.
Explore and benchmark AI/ML methods, including foundation models, for analyzing high-dimensional biological data.
Collaborate with computational and experimental scientists to interpret findings and contribute to reusable analysis tools, including LLM-based or agentic workflows where appropriate.
Conduct advanced physics-based research and develop computational approaches to investigate the properties of fluids and porous geological materials, interpret formation-evaluation measurements, and improve understanding of subsurface energy and storage systems.
Compensation
$80,000 + depending on qualifications
Responsibilities
Design, perform, and validate molecular-scale simulations of fluid behavior, transport, and interactions with mineral or organic pore surfaces; analyze implications for petrophysical properties.
Develop and evaluate computational models of nuclear and magnetic-resonance measurements, including applications to subsurface characterization and monitoring in well environments.
Use scientific programming, numerical methods, and high-performance computing resources to manage simulations, assess uncertainty, interpret results, and improve reproducibility.
Integrate computational predictions with available experimental measurements; investigate model sensitivity and interpret scientific findings.
Prepare technical reports, manuscripts, presentations, and research updates; coordinate with faculty, students, collaborators, and consortium sponsors.
Requirements
Ph.D. degree
Nice to have: research in molecular dynamics
Nice to have: Monte Carlo particle transport
Nice to have: magnetic resonance
Nice to have: confined fluids
Sr. Software Engineer – Robot Applications & Voice AI
Build software powering the next generation of intelligent humanoid robots, integrating Voice AI, Agentic AI, and robotic capabilities.
Compensation
Salary range $107,000 - $172,000 USD. It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors.
Responsibilities
Implement high-level application software, interaction workflows, and robotic behavioral state machines
Build core logic translating human speech, gestures, environmental cues, and contextual information into deterministic robotic tasks
Integrate vision pipelines, object detection, scene understanding, spatial tracking, and voice interactions
Verification Engineer for new Codasip IP in secure systems, focusing on system‑level verification and testbench development for ASIC and FPGA implementations.
Locations (2)
Bristol, England, United Kingdom
Cambridge, England, United Kingdom
Responsibilities
Define comprehensive verification strategies, plans, test scenarios, and coverage goals from architectural specs
Develop and maintain scalable, reusable IP‑ and system‑level verification environments using SystemVerilog/UVM
Run simulations, perform root‑cause failure analysis, support FPGA‑based validation, and drive verification closure
Develop functional coverage models and SystemVerilog Assertions (SVA) and maintain automated verification flows
Partner cross‑functionally with hardware designers and software engineers, owning estimation, prioritization, and reporting on verification metrics, progress, and risks
Build high-performing analytics teams and deliver smarter product pricing decisions for the Auto line within Personal Insurance Loss and Demand Modeling.
Locations (4)
Columbus, Ohio, United States
Chicago, Illinois, United States
Hartford, Connecticut, United States
Charlotte, North Carolina, United States
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. 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: $81,040 - $121,560
Develop and evaluate predictive modeling solutions for personal auto class plan, unconstrained loss models, and customer demand models.
Evaluate new data sources and modeling approaches to boost product performance. Engineer features to uncover additional signal for our models.
Support model implementations with state Departments of Insurance (DOI), serving as a subject matter expert on the models you build and responding to DOI queries.
Maintain a portfolio of repositories and scripts and suggest improvements to workflows. Assist in the modernization of model deployments using our cloud-based MLOps tools.
Collaborate with team members to plan and deliver projects in an Agile framework.
Requirements
Master's degree in Statistics, Data Science, Mathematics, Actuarial Science, Economics, Engineering, Physics, or similar analytical field.
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