Note: The job is a remote job and is open to candidates in USA. BAE Systems is a defense, aerospace, and security company developing electronics and engineering solutions for military, commercial aerospace, and transportation platforms. The Senior Hardware Reliability Engineer provides technical leadership in reliability analysis, manages reliability program deliverables, analyzes product performance data, and drives improvements across design, manufacturing, and support environments.
Responsibilities
- Reliability Program Delivery – Manage the end‑to‑end production of all reliability program analysis documents
- Proposal & Cost Analysis – Review RFPs/RFQs to determine reliability requirements; provide inputs for cost and logistics projections
- Customer & Vendor Relations – Proactively lead relationships with internal and external stakeholders to secure program opportunities and ensure alignment with customer expectations
- Logistics & Support Management – Oversee budgets, schedules, and cost‑accounting for supportability and logistics tasks; develop and maintain support and services plans for all supported programs
- Design Influence & Logistics Innovation – Lead system‑design discussions focusing on logistics innovations that reduce Life‑Cycle Cost (LCC) and Total Ownership Cost (TOC)
- Technical Trade‑offs – Develop and review PSA, LPD, LCC, LORA, and support‑system trade‑off analyses; ensure Engineering Change Proposals (ECPs) address total logistics impact
- Process Improvement – Continuously improve reliability processes, ensuring compliance with ISO‑9001 and emerging standards such as ISO 14224, EN 497, and IEC 61508
- Cyber‑Reliability & Functional Safety – Assess reliability impact of cyber‑threats and functional safety concerns; coordinate with cybersecurity teams to embed resilience in design
- Data Analytics & Automation – Lead the adoption of Python/R, SQL, Power BI, and automated failure‑mode tools to mine telemetry, build predictive models, and generate real‑time dashboards
- Lean Six Sigma & Cost Analysis – Apply DMAIC methodology to root‑cause analyses, reduce MTBF improvements, and lower operational costs
- Professional Development – Encourage pursuit of industry certifications (CRE, CRL) and continuous learning in emerging reliability domains
Skills
- * Bachelor's degree in Electrical, Mechanical, Systems Engineering, or related technical field
- * Minimum of 5 years in reliability, maintainability, or supportability engineering; 10 years for senior roles
- * Experience with ISO‑9001, ISO 14224, EN 497, IEC 61508, or similar standards
- * Proven track record of using statistical tools (Weibull analysis, Pareto charts, MTBF/MTBUR modeling) and advanced Excel or equivalent analytical software
- * Familiarity with relational databases (Oracle, TOAD, BART, MIDAS) and modern cloud‑based analytics platforms (AWS, Azure)
- * **Technical Proficiency** – Strong understanding of electronic components, circuits, and interfaces; ability to rapidly learn customer web‑based applications for data mining and reporting
- * **Analytical Thinking** – Ability to model failure distributions, conduct (F)MECAs, and leverage machine‑learning algorithms for predictive reliability
- * **Communication** – Excellent verbal and written communication, capable of producing technical publications, proposals, and presenting data to diverse audiences
- * **Interpersonal** – Skilled at coordinating and negotiating with company personnel, customers, and suppliers; adept at leading cross‑functional teams
- * **Decision Making** – Use sound judgment while complying with relevant policies, regulations, and laws
- * **Process Orientation** – Strict attention to detail, robust documentation, and commitment to process compliance (ISO‑9001, ISO 14224)
- * BSEE +10 years of experience in In-Service Reliability or related engineering disciplines
- * Advanced degree in Reliability Engineering, Systems Engineering, or a related discipline
- * Experience applying Lean Six Sigma tools to reliability projects
- * Demonstrated ability to automate reliability analysis workflows using Python/R, Power‑BI, or equivalent tools
- * Familiarity with ISO 14224 data structures and exchange protocols, and with cyber‑reliability frameworks
- * Familiarity with Weibul Analysis and ability to model distributions using Weibul toolsAbility to recommend design changes for Reliability Improvement
- Typically a Bachelor's Degree and 4 years work experience or equivalent experience
Company Overview