Trane is seeking a Reliability Engineering Leader to build and lead a growing reliability team. This leader impacts the business through execution of a reliability strategy, organizational development, and cross-functional collaboration to drive improved product reliability across the product portfolio.
Compensation
Annual Base Salary Range or Hourly Base Pay Range: $146,521.66 - $235,500.00
Responsibilities
Lead, build, and scale a high-performing reliability team for the commercial HVAC business unit including managers, senior engineers, and data analysts
Establish reliability operating system, strategies, standards, tools, KPIs, and governance
Embed reliability engineering best practices into the way products are designed, validated, released, and supported
Improve the reliability, durability, and lifecycle performance of commercial HVAC products
Work with product architects and systems engineers to characterize component application requirements using tools like functional analysis, DFMEA, and component failure analysis
Requirements
Bachelor’s degree in engineering, or related field
Nice to have: Experience with complex highly engineered systems
$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Write unit tests for Python and Java
Perform fault injection and mocking
Design and write white-box and black-box tests
Add regression tests to existing software
Conduct large-scale test design and failure mode analysis
Requirements
Bachelor’s degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university
Define and own the manufacturing quality strategy for infrastructure hardware programs, including compute, GPU, storage, and networking platforms, across NPI and mass production phases
Establish and track key manufacturing quality metrics including yield, first-pass rate, defect density, and field return rates, driving accountability and continuous improvement across internal teams and contract manufacturing partners
Lead Data Scientist (IC3) in the Anti-Money Laundering (AML) Handling & Prevent team, responsible for developing AI and LLM solutions to automate and improve financial crime mitigation workflows.
Responsibilities
Lead development and deployment of AI models for operational workflows
Establish labeling taxonomies and evaluation datasets
Senior Testing Engineer in a laboratory setting, responsible for executing functional, mechanical and electrical tests, developing testing methods, managing complex test setups, analyzing data, and collaborating with R&D on validation projects.
Compensation
Fascia salariale base indicativa: €37.900,00-€52.150,00
Responsibilities
Esecuzione di test funzionali, meccanici ed elettrici su componenti e prodotti
Sviluppo e ottimizzazione di metodi e procedure di prova
Allestimento, configurazione e gestione di set-up di prova complessi
Utilizzo e gestione di camere classificate e di altre apparecchiature specialistiche del laboratorio
Analisi dei dati sperimentali, individuazione dei failure mode e supporto alla definizione di soluzioni tecniche
Continuously evaluate and enhance test coverage, methodologies, and infrastructure to improve hardware reliability and performance at scale against defined targets
Lead root cause analysis and corrective action programs for systemic hardware failures, managing failure analysis workflows and driving closure of critical issues against defined yield and reliability targets
Partner with cross-functional engineering teams to drive power optimizations and performance tuning for compute and GPU systems during the manufacturing validation phase
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