CDL-Reliability Engineer at Infinitus

Austin, Texas, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Electric Motors, Manufacturing, Clean TechnologyIndustries

Requirements

Bachelor’s degree in Electrical, Mechanical, or Reliability Engineering
0–2 years of relevant experience (Level 1), 2–5 years (Level 2), or 5+ years (Level 3)
Basic understanding of electric motors and reliability fundamentals (Level 1), proficient in test execution, root cause analysis, and reliability tools (Level 2), or advanced understanding of reliability engineering in power electronics or electromechanical systems (Level 3)
Familiarity with LabVIEW, TestStand, NI CompactDAQ hardware, and instrumentation such as torque sensors, thermocouples, and high-voltage power analyzers
Commitment to data-driven decision making, safety, and adherence to ISO 17025 practices

Responsibilities

Develop and maintain detailed reliability test plans aligned with product requirements and application environments
Design and execute long-duration test protocols including thermal cycling, vibration, electrical overstress, humidity, load cycling, and accelerated life testing
Use LabVIEW, TestStand, and NI CompactDAQ hardware for data acquisition, logging, and test automation
Perform root cause analysis (RCA) of failures using structured methodologies (5 Whys, Ishikawa, Fault Tree, etc.)
Define and track reliability metrics such as MTTF, MTBF, FIT rates, and failure distributions
Collaborate with design and compliance teams to drive reliability improvements and support certification readiness (UL, CE, ETL)
Participate in FMEA sessions and support risk mitigation activities across the product lifecycle
Maintain accurate and traceable records for all reliability testing in compliance with ISO 17025
Contribute to continuous improvement initiatives across the lab and test infrastructure
Level 1: Assist senior engineers in reliability test execution and data recording; perform setup, calibration, and operation of environmental and electrical stress tests; support maintenance and documentation of lab test fixtures and data files; learn failure analysis and reporting methods under mentorship; adhere to safety and lab quality protocols
Level 2: Independently lead reliability test campaigns and document results; analyze test data and generate failure rate or B10 life projections; participate in design reviews and contribute to DFMEA/Risk assessment; develop automated test routines using LabVIEW/TestStand; interface with design and compliance teams to close the loop on findings
Level 3: Lead reliability strategy for new product introduction (NPI); create new test methods for emerging failure modes or field issues; guide the development of reliability metrics, dashboards, and KPIs; supervise junior engineers and mentor lab staff on reliability best practices; represent the organization in external audits or certification discussions (e.g., UL witness testing)

Skills

Key technologies and capabilities for this role

LabVIEWTestStandNI CompactDAQreliability testingroot cause analysisFMEAthermal cyclingvibration testingMTTFMTBFFIT ratesISO 170255 WhysIshikawaFault Treetorque sensorsthermocoupleshigh-voltage power analyzers

Questions & Answers

Common questions about this position

What experience levels are available for the Reliability Engineer role?

The role has Level 1 (Entry Level) for 0–2 years of relevant experience and Level 2 (Intermediate Level) for 2–5 years of relevant experience.

What technical skills and tools are required for this position?

Key skills include designing automated reliability test systems using LabVIEW and TestStand, familiarity with instrumentation like torque sensors, thermocouples, and high-voltage power analyzers, root cause analysis (RCA) using 5 Whys, Ishikawa, Fault Tree, and NI CompactDAQ hardware.

Is this a remote position or based in a specific location?

This information is not specified in the job description.

What is the salary or compensation for the CDL-Reliability Engineer role?

This information is not specified in the job description.

What teams will I collaborate with in this role?

You will work closely with Product Development, Compliance, Quality, and Test Engineering teams, and collaborate with design and compliance teams.

Infinitus

Automates B2B healthcare administrative tasks

About Infinitus

Infinitus.ai automates business-to-business conversations in the healthcare sector using artificial intelligence. Its main product is a digital assistant named Eva, which handles administrative tasks like benefit verification, prior authorization, and prescription savings calls for healthcare providers, Pharmacy Benefit Managers (PBMs), and pharmacies. Eva learns from each call and stays updated with guidelines on over 1000 therapies and procedures, allowing it to perform a variety of healthcare-related tasks accurately. Infinitus.ai differentiates itself from competitors by offering a platform that completes tasks approximately 30% faster and with 10% higher quality than human operators, leading to significant time savings and increased productivity for its clients. The goal of Infinitus.ai is to enhance operational efficiency in the healthcare system, ultimately improving patient outcomes.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$50MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Risks

Increased competition from other AI healthcare startups could threaten Infinitus's market share.

Data privacy concerns could arise as Infinitus handles sensitive patient information.

Dependence on providers' willingness to integrate AI solutions could limit growth.

Differentiation

Infinitus automates healthcare phone calls, reducing administrative burdens for providers.

Their AI platform, Eva, completes tasks 30% quicker than human operators.

Infinitus's platform learns from calls, staying updated with over 1000 therapies and procedures.

Upsides

AI in healthcare call centers is expected to grow by 20% annually.

Infinitus raised $51.5M to advance AI-powered phone automation in healthcare.

Integration of AI with EHR systems is gaining traction, improving data exchange.

Land your dream remote job 3x faster with AI

Try Jobo Free