Field Application Engineer within the Device Product Group, working with Consumer electronic device manufacturers, IoT device manufacturers and major actors of the automotive ecosystem to ensure the success of the integration of Thales Products & Solutions into final customer products.
Responsibilities
Ensure technical support to Sales & Marketing teams throughout the product lifecycle from opportunity detection to products delivery and throughout deployment.
Support customers for the integration of Thales products and solutions, from the early stages of the project (design stage) up to final validation in customer production line.
Define and drive the development of all needed tools required to support the integration in customer environment.
Be the official Thales technical representative towards customers for product integration and be the “technical voice” of the customer internally to Thales.
Responsible for providing active assistance to the customer throughout all the implementation of the product/solution (including attendance at the customer's premises and/or remote support).
Requirements
Bachelor’s degree in Electronics or Computer Science, Telecommunications etc.
Focused on building leading-edge Data & Analytics products for enabling value-based healthcare, population health management, and enterprise analytics, responsible for the product lifecycle of existing and newly developed interactive analytics products.
Responsibilities
Engage with cross-functional stakeholders to identify pain points and business and technical requirements and design data solutions using best-practice patterns and modern architecture
Own end-to-end design and development, testing of interactive analytics products using technology such as Databricks, SQL Server, and Power BI
Provide ad-hoc reporting and analysis
Develop standard reporting models to support and improve business processes
Develop visualizations to help disseminate information in a non-technical manner
Requirements
BA or BS degree in Computer Science, Information Systems, or related field
The Long Term Strategic Planning Analyst is responsible for maintaining and improving our 10 year North American whisky supply planning model and providing strategic recommendations to business leaders. This role uses our future demand signals to create actionable insights that drive spending, volume, and operational decisions.
Locations (3)
New York, New York, United States
Shelbyville, United States
Stamford
Compensation
3 WORLD TRADE CENTER, NY: SALARY RANGE IS FROM $74,175 TO $123,625 (ANNUAL)
Responsibilities
Analyze Diageo's demand signals to drive distillation decision making
Work alongside blending, finance, supply, and brand teams to build a long term strategy that meets business goals
Manage liquid, yeast, and barrel movements both within Diageo and with third parties
Provide input on demand signals based on historical volumes and trends
The Investment Risk Manager provides independent, experienced insight, oversight and constructive challenge on investment risk and portfolio construction, as part of a second line of defence with a front-office mindset.
Responsibilities
Lead independent oversight, insight and constructive challenge for a designated group of investment strategies
Produce and present risk reporting, deep-dive analyses and bespoke research
Originate and lead research on portfolio construction, thematic and emerging risks, and market behaviour
Contribute to and lead projects that advance the function's analytical toolkit, automation and AI-enabled workflows
Prepare and present material for investment risk discussions with investment strategies, product groups, committees, boards and governance forums
Requirements
Relevant graduate or postgraduate qualifications (Maths, Sciences, Economics, Finance or Computing)
Nice to have: AI
Nice to have: Large language models
Nice to have: Agentic or automated workflows
Nice to have: Knowledge of Emerging Markets, Asia-Pacific and China equity markets
Senior AI Engineer focused on practical and innovative AI projects, encompassing data science and generative AI development, with an emphasis on quality and timely delivery.
Responsibilities
Take solutions from concept to production, including Gen AI development, data pipelines, database and API integrations
Define, build, and monitor efficient data pipelines that support AI model development and deployment
Dive deep into complex datasets to surface insights and define and validate data pipelines
Design and maintain robust evaluation frameworks for AI Agents
Hypothesize, design, implement and measure experiments to formulate solutions and actionable optimization steps
Senior Applications Engineer leading system performance related technical escalation, tech lead in driving time to containment and solution individually, with team members and leveraging resources to ensure class leading CS Application support on an advanced node HVM in US region.
Compensation
The current base annual salary range for this role is currently: $108,375-158,950
Responsibilities
Play an important role in new site production ramp and the node transfer from Taiwan to Arizona
Participate and/or co-lead projects aligned with lead application engineer aimed at new systems introduction and supporting the HVM2HVM node transition
Own workstreams within a larger project; develop and drive autonomously a project plan and chase a successful execution with regular updates to relevant internal and external stakeholders
Support troubleshooting and escalation process for customer on-product issues on ongoing basis
Translate a customer on-product issue into a potential lithography or metrology related problem statement, resolve these issues to help them maximize the performance and use of ASML products
Develop system-level expertise of the EUV light source and serve as a technical expert in areas such as laser light generation and amplification, laser-plasma interaction, debris mitigation, optics, and control systems.
Compensation
The current base annual salary range for this role is currently: $172,875-253,550
Responsibilities
Characterize system performance and validate new technologies
Troubleshoot complex issues and drive continuous improvement of EUV source products
Apply physics-based models, analytical methods, and experimental techniques to characterize and improve EUV source performance
Design and execute experiments to validate hardware and software performance
Collect, process, and analyze large data sets using MATLAB and Python
Requirements
Bachelor’s degree with at least 10 years of relevant experience
Master’s degree with at least 8 years of relevant experience
PhD with at least 5 years of relevant experience in Plasma Physics, Engineering Physics, Applied Physics, or a related technical discipline
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