Skip to Content

Jobs

Reliability Engineer

|  Posted On: Aug 3, 2026

location:Milpitas, CA 95035

Duration:4 Months, Contract

mode of work:On-site

Log In and Apply

Job Summary

Job Title:  
Reliability Engineer
Posted Date:  
Aug 3, 2026
Duration:  
4 Months, Contract
Shift(s):  

09:00 - 17:00

Salary ($): 
44.22 - 46.54 per Hourly (compensation based on experience and qualifications)
We care about you! Explore Rangam’s benefits information

Talk to our Recruiter

Name:
 
Ankit Kemkar

Email:
 
ankitk@rangam.com

Phone:
 
847-463-3678

Description

Must Have

  • Basic statistical analysis skills for interpreting test data.
  • Reliability Analysis
  • Reliability Engineering

Nice To Have

  • Design Failure Mode and Effect Analysis (DFMEA)
  • Electronics Hardware Design
  • Fluidics
  • Optics
  • Test Automation

JOB DESCRIPTION

Candiate will support 3 projects working on th Imaging Platform, A7,Sustaining .

Temp to perm possiblity.

  • 30% lab work-launch new products final liability testing needs to be done
  • 40% Field support- products in the filed that have failed  - review with engineers  provide solutions
  • 30% sustaining- conducting cost reduction activities

Onsite 5 days a week

  • Play a critical role in the development of new life science technology as a reliability engineer in the R&D group.
  • Provide hands-on, analytical, and reliability expertise to support engineering programs associated with the development of complex instruments. 
  • Work in a team environment to assess and improve product reliability throughout the design process. 
  • Manage reliability projects by implementing tests, analyzing data, assessing reliability risks, and reporting accurate information to stakeholders.

Primary duties include the following:

  • Lead and monitor multiple reliability projects.
  • Provide reliability risk assessments to cross-functional teams and executive leadership.
  • Create and implement test plans to effectively mitigate risks in new product designs.
  • Facilitate and direct multidisciplinary discussions to evaluate technical risk through FMEA.
  • Leverage internal and external resources to complete reliability test plans.
  • Record, organize, and manage large amounts of detailed test data.
  • Methodically analyze test data and interpret results for critical reliability decision-making.
  • Troubleshoot instrument failures and/or reliability issues as necessary.
  • Direct, execute, and document root cause investigations.
  • Guide the team to corrective action identification, implementation, and validation.
  • Escalate top issues by providing clear, well-structured, high-level updates.
  • Provide engineering input for new designs to ensure reliable and robust products. 

Minimum Qualifications:

Education and Experience:

  • Minimum of a Bachelor's degree in engineering or related discipline required.
  • Minimum of 5 years of reliability engineering experience or experience performing tests to collect experimental data and performing statistical analyses to interpret results. (2 years may be substituted with advanced degree in engineering or related discipline)
  • Knowledge of reliability fundamentals and understanding of reliability analysis (i.e., life predictions, product life modeling, root cause analysis, environmental testing, accelerated testing, etc.)
  • Applies technical standards, principles, concepts, and techniques to solve problems.
  • Excellent communication skills.
  • Willingness to work in BSL2 lab
  • Willingness to prepare blood samples for testing (training will be provided). 

In addition to the above minimum qualifications, the following are considered highly desirable:

  • Knowledge of fluidic, optical, and/or electro-mechanical systems.
  • Experience with test automation (LabView, Arduino, etc.).
  • Experience utilizing FMEA to guide team discussions and priorities.
  • Statistical knowledge, especially related to six sigma tools and methodology, design of experiments, and reliability modelling.
  • Experience managing large sets of data using data processing tools such as Minitab, MATLAB, JMP, or R. 

 

AI-Assisted Application Screening

As part of our recruitment process, we may use automated tools or AI-enabled technologies to assist with resume screening and candidate matching. These tools help our recruitment team review applications more efficiently, but they do not make hiring decisions. All final decisions are made by human reviewers.