Reliability Engineer III - Project Based

Autonomous Solutions•Fort Worth, TX

About The Position

This is a project-based employee role supporting the initial development phase of our autonomous vehicle platforms. Development phases of this nature typically span up to project completion (typically 2–4 years), though scope and duration are driven by business needs. JOB SUMMARY The Reliability Engineer III is responsible for ensuring the durability, safety, and long-term performance of ASI's autonomous vehicle systems and components. This role leads reliability investigations and develops strategies to identify and mitigate failure risks across mechanical, electrical, and software systems used in real-world autonomous operations. As a Level III contributor, this role drives reliability testing initiatives, conducts advanced failure analysis, and collaborates closely with cross-functional engineering teams to implement design improvements that enhance system robustness and lifecycle performance. The position plays a key role in validating system durability through structured testing, reliability modeling, and data-driven engineering decisions.

Requirements

Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Reliability Engineering, or a related technical field
5–8 years of experience in reliability engineering, system validation, failure analysis, or related engineering roles
Strong understanding of reliability engineering methodologies including FMEA, fault tree analysis, and root cause analysis
Experience with reliability testing techniques such as accelerated life testing, HALT/HASS, or environmental stress testing
Strong analytical skills with the ability to interpret complex reliability and performance data
Experience using data analysis tools such as MATLAB, Python, R, or similar platforms
Strong written and verbal communication skills with the ability to clearly present technical findings
Ability to work effectively within cross-functional engineering teams

Nice To Haves

Experience working with robotics, autonomous systems, or complex electromechanical platforms
Familiarity with reliability modeling methods such as Weibull analysis or reliability prediction tools
Experience implementing Design for Reliability (DFR) and reliability growth strategies
Experience with reliability engineering tools such as ReliaSoft or Reliability Workbench
Familiarity with quality and reliability standards such as ISO 9001 or IEC 61508
Experience working with supplier quality and component reliability evaluation

Responsibilities

Develop and execute reliability testing plans for autonomous systems and subsystems including mechanical, electrical, and software components
Perform reliability analyses such as Failure Modes and Effects Analysis (FMEA), root cause analysis (RCA), and fault tree analysis
Design and conduct accelerated life testing, environmental testing, and stress testing to simulate real-world operating conditions
Analyze reliability test data to identify trends, potential failure risks, and system performance limitations
Collaborate with engineering teams to incorporate Design for Reliability (DFR) principles into system development
Establish and monitor reliability metrics to evaluate system performance and support continuous improvement
Lead failure investigations to determine root causes and recommend corrective actions
Support development of predictive maintenance strategies and reliability-centered maintenance approaches
Work with suppliers and manufacturing partners to evaluate component reliability and quality
Document reliability methodologies, testing procedures, and results to support engineering decision-making
Contribute lessons learned and reliability insights to improve future system designs