As an AI-Native Software Engineer, you build and run production software for Heidelberg Materials using AI as a core part of your engineering workflow. You delegate work to coding agents, review and own everything they produce, and keep the engineering fundamentals (security, architecture, testing, refactoring, continuous delivery) that make AI-assisted delivery safe at scale. You’ll turn AI capabilities into real product features, taking ideas from experimentation through to production and user impact.
Responsibilities
Design, build, and operate production services and applications end to end
Work in a research, plan, implement cycle: let agents research and draft the plan, review the plan with your peers before any code is written, then hand off the implementation and review the result
Raise the quality bar where AI shifts the bottleneck
Contribute what works back to our shared tooling so other teams benefit
Bring business and system context into your work through our shared knowledge base and connections to Jira and Confluence
Requirements
BSc or MSc in Computer Science or comparable education
An Ontologist and Taxonomist with 5+ years experience applying the Web Ontology Language (OWL) to problems in financial and economic analysis.
Compensation
Pay Rate is Open - US Citizen and GC - W2 Candidates only
Responsibilities
Maintain the Research Ontology (msRo) and Trending Topics Taxonomy, adding definitions of new concepts and entities as they arise in the world of financial analysis.
Coordinate these artifacts with existing reference data within and imported from external providers.
Consult with the business on projects involving natural-language processing and related ontology and taxonomy data.
Work as a bridge between business stakeholders and technology implementers to ensure that requirements are accurately transmitted to implementers and accurately fulfilled in our systems.
Aid in the manual and automatic validation of results from large-language models (LLMs) and other models, using automated testing tools and techniques and your own knowledge.
Seeking architects, engineers, and BIM professionals to support hyperscale data center programs, turning design models into structured information for program-level decisions.
Locations (2)
San Francisco, California, United States
Golden, Colorado, United States
Compensation
San Francisco, California: $80,000 to $140,000 annually
Golden, Colorado: $70,000 to $115,000 annually
Responsibilities
Develop and apply work breakdown structures and classification mappings with the client, connecting model elements and building systems to defined scopes, work packages, and relevant cost and schedule structures.
Define and maintain model metadata requirements, including parameters, identifiers, system assignments, and classification values that enable consistent analysis across disciplines and projects.
Extract, organize, and validate model data to produce structured datasets, quantities, and component inventories that remain traceable to their source.
Assess model health through information completeness, classification coverage, consistency, and quantity checks, identifying gaps that affect confidence in downstream analysis.
Lead and manage electrical engineering projects, overseeing the design, development, and implementation of electrical systems and components, focusing on embedded systems, circuit card design, and RF signal chain analysis.
Compensation
The annual base salary range for this position is $104,000 - $130,000.
Responsibilities
Circuit card design including parts selection, schematic entry, and layout
Conduct circuit analysis
Conduct RF signal chain analysis
Run 3D electromagnetic wave field solver simulations
Write VHDL for FPGA designs
Requirements
Bachelor's degree in a technical discipline such as the sciences, technology, engineering or mathematics
Nice to have: Digital Signal Processing modeling in MATLAB or Python
Nice to have: Understanding of radar fundamentals
Nice to have: Proficiency with Altium, Xpedition, or similar PCB design tools
Nice to have: Proficiency with AWR, HFSS, or similar RF modeling and simulation tools
Production Support Engineer responsible for investigating escalated technical issues, identifying root causes, reproducing bugs, and shipping small, safe fixes.
Responsibilities
Investigate and reproduce production issues
Review logs, traces and session data to identify the causes of escalated client issues
Reproduce production issues, especially those involving voice, audio, browsers and connectivity
Determine whether an issue is a bug, configuration problem, feature request or user error, and document findings
Implement small, low-risk fixes through code review and the standard release process
Senior engineer to own the voice path properly: turn-taking, interruptions, latency, which provider we use for which language and why, monitoring, and what happens when a provider has a bad day. Build reusable voice capabilities that more than one product team can adopt.
Responsibilities
Design, build and run low-latency voice and real-time services
Put streaming speech-to-text, language-model and text-to-speech providers behind a clean, configurable architecture
Make turn detection, interruption handling, latency, conversation state and provider failover work well
Build the framework that tells us which provider is better for a given language
Turn recordings and transcripts from native speakers into regression tests
Lead Databricks Engineer to drive the design, development, and optimization of data pipelines and analytics solutions on the Databricks Lakehouse platform.
Own the backend of our affiliation platform — partner catalogue, offer and reward configuration, click-out, tracking, purchase attribution and reward crediting.
Locations (4)
Paris, Île-de-France, France
New York, United States
London, England, United Kingdom
Boston, United States
Responsibilities
Own the backend of our affiliation platform — partner catalogue, offer and reward configuration, click-out, tracking, purchase attribution and reward crediting
Integrate and maintain our affiliate networks and providers — feeds, APIs, S2S postbacks and callbacks — and turn each new partner integration into a faster, more standardised & agentic process
As a Senior Backend Engineer inside the Walking Motivations Pillar, you will ship reliable APIs, services and data pipelines end-to-end, power walking experiences, build the event-driven backbone, and design data foundations to understand how people walk.
Locations (4)
Paris, Île-de-France, France
New York, United States
London, England, United Kingdom
Boston, United States
Responsibilities
Ship reliable APIs, services and data pipelines end-to-end
Power walking experiences — step ingestion at scale, real-time gamification loops (challenges, streaks, rewards, progression), habit feedback, social mechanics
As a Senior Backend Engineer inside the Growth Squad, you will ship and own features focused on Acquisition, Engagement & Retention for a large-scale international platform.
Compare model revisions and design configurations to identify changes in quantities, systems, and scope, distinguishing design changes from modeling or metadata discrepancies.
Requirements
Bachelor's degree in architecture, engineering, construction management, design technology, or a related field
Nice to have: Building systems knowledge
Nice to have: Interpreting drawings and specifications
Make tracking trustworthy end to end, cutting untracked and mis-attributed purchases, our single biggest driver of support tickets and negative store reviews
Rebuild the claims flow so users get a shorter time-to-reward, clear reasons when a purchase is rejected
Get reward computation right across promo and flash offers, level-up bonuses, caps and category rules
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