Lead and architect large-scale, distributed infrastructure solutions as part of the Infrastructure as Code team.
Compensation
Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award.
Responsibilities
Demonstrate leadership across technology stacks
Ensure adherence to approved patterns and technology standards
Develop full-stack solutions
Serve as primary technical owner for key initiatives
Drive technical strategy, patterns, and standards across platforms, services, and integrations
Requirements
Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience
Nice to have: experience in the securities or financial services industry
Lead RF engineering solutions for aerospace and defense customers, designing test architectures and validating RF systems.
Compensation
The salary range for this role is 43,100 - 80,100 EUR gross annually, commensurate with the skills, talent, capabilities, and experience each candidate brings to a role.
Responsibilities
Understand customer RF test and validation needs and translate them into effective test architectures.
Design and demonstrate RF and microwave solutions for functional test, parametric characterization and system-level validation.
Develop proof-of-concept systems combining RF instrumentation, automation software and, where relevant, SDR and real-time signal processing.
Support projects from early technical discussions and architecture definition through evaluation, validation and deployment.
Collaborate on strategic customer engagements, capture application insights for Product and R&D, and create reusable demonstrations, application notes and technical content.
Requirements
Bachelor's or Master's degree in RF, Telecommunications, Electronics, Electrical Engineering or a related discipline.
Responsible for bringing up, evaluating, and characterizing RF/Analog chips and systems during the pre‑silicone phase, including debugging, testing, and documentation.
Responsibilities
Bring up chip in lab
Evaluate chip performance
Debug issues related to blocks and system
Optimize silicone system performance
Support design with mitigating issues
Requirements
Master or Bachelor Degree in Electrical Engineering
The expected hourly pay range for this position is $31.25/hr - $41.50. Please note that final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate.
Responsibilities
Assist in hardware design and testing for embedded systems.
Support firmware development for microcontrollers and embedded platforms.
Develop and maintain device drivers for custom hardware.
Perform debugging, troubleshooting, and documentation of system components.
Collaborate with cross-functional teams to ensure seamless hardware-software integration.
Lead research and development of Physical AI system modeling, foundation models, and hardware integration for humanoid and industrial robotics.
Responsibilities
Define long‑term Physical AI research direction and system architecture
Identify emerging methods and lead foundation model training and fine‑tuning
Architect, develop, and maintain virtual system world models
Own technical architecture of Physical AI data curation pipelines
Lead imitation‑learning, reinforcement‑learning, domain‑randomization, sim‑to‑real, and real‑to‑sim workflows
Requirements
Ph.D. in Robotics, Engineering Science, Computer Science, Electrical Engineering, Computer Engineering, Mechanical Engineering or a closely related field
Nice to have: neuromorphic computing
Nice to have: in‑memory computing
Nice to have: foundation model development for hardware generation
Lead the creation of high‑fidelity Digital Twins and BIM models for energy infrastructure, integrating multi‑source data and ensuring interoperability across platforms.
Responsibilities
Create high‑fidelity Digital Twins and As‑Is BIM models of substations and powerlines from point cloud survey data and asset documentation
Integrate multi‑source data (GIS, ERP, CAD) into unified BIM models
Architect and maintain a standardized BIM component library for substations and powerlines
Deliver IFC exports with clean schemas and rigorous data structures
Collaborate across disciplines with specialists in IFC, Revit, and beyond
Design, build, and operate AI workflows and backend services for Finance processes, integrating AI models with business applications and data across Finance.
Responsibilities
Design modular AI workflows using n8n, Langdock, LangChain, Pydantic AI
Translate Finance needs into technical requirements and delivery priorities
Roll out and configure enterprise AI tools and applications on Microsoft Azure
Build Python backend services and secure API integrations with Finance applications, databases and Microsoft 365
Maintain deployed solutions, including testing, monitoring, updates, troubleshooting and documentation
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Systems or comparable technical field
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