Sr. Reliability Engineer

Mindlance; Lake Forest (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Mindlance is seeking an experienced Reliability/Quality Engineer for an R&D focused role in California. You will improve state-of-the-art reliability programs for instruments, review designs and testing regimens, and collaborate with NPI teams to drive pre-verification testing and product robustness.

You will plan and execute automated tests, LabVIEW scripts, Python/R tooling, and hardware testing, ensuring timely completion and clear feedback.

Qualifications

• BS degree in Engineering with 4+ years in R&D focused on reliability and quality.
• Experience applying reliability methods and basic statistics.
• Familiarity with GMP/QSR regulations.
• Knowledge of embedded systems, CAN bus and Ethernet.
• Test automation experience; LabVIEW, Python, and R.
• Fixture design, lab testing and equipment validation.
• Experience transferring products from R&D to manufacturing in cross‑functional teams.
• Strong analytical, reporting and design critique skills.

Responsibilities

• Implement and enhance quality/reliability programs to support R&D objectives.
• Review designs, processes and testing regimens for reliability and compliance.
• Collaborate with NPI teams on pre-verification testing and product improvement.
• Develop and execute automated tests, LabVIEW programs, robotics, HALT/ALT, environmental tests.
• Ensure timely testing completion and feedback to development teams.
• Produce DHF verifications/validations grounded in solid science.
• Support technical transfer and corrective actions with project teams.

Skills

Reliability engineering

R&D experience

Test automation

LabVIEW

Python

R

Statistical methods

GMP/QSR familiarity

Embedded systems

CAN bus

Ethernet protocols

Mechanical design

Electrical design

Education

BSc in Engineering (Industrial/Mechanical/Electrical)

ASQ Certifications in Quality/ Reliability

MS preferred

Tools

LabVIEW

Python

R

CAN bus testing

Ethernet testing

Job description

Duration - 3+ Months , Will extend till next year

Position Summary:

• Implements/enhances state-of-the-art quality and reliability systems/programs to support R&D objectives relating to instruments.
• Reviews/critiques product designs, proposed processes, and testing regimens ensuring a rigorous focus on reliability, quality, and compliance throughout NPI.
• Collaborates with NPI teams in identifying and executing key pre-verification characterization testing and other activities necessary for continuous product improvement and robustness enhancement.
• Plans/develops/executes automated test scripts, Labview programs, robotic programs, HALT, ALT, environmental, transportation, life testing, PCBA stress screening, engineering tests and/or V&V to ensure timely and efficacious completion of R&D development projects within budgetary and resource constraints.
• Ensures timely completion of testing with continuous feedback to development team for ongoing design enhancements.
• Uses analytical skills in statistical analysis, tolerancing/simulation, measurement science, stress testing, reliability assessment, simulation, and design critique as appropriate to support NPI DfR objectives.
• Works with technical transfer functions to ensure timely corrective actions of design, assembly, supplier, or other production issues encountered during NPI.
• Works with project teams to produce DHF reports, verifications and validations are compliant, documented, and grounded in solid science.

Skills:

• ≥4 yrs with BS Degree or two years with a MS Degree.
• Must include at least 4 yrs in R&D with primary focus on new product reliability and quality engineering activities.
• Proven experience in the application of reliability engineering, including:
• Some familiarity required in applying basic statistical methods.
• Must be familiar with GMP/QSR regulations.
• Some knowledge with embedded systems, communication protocols for CAN bus and ethernet.
• Practical experience in test automation and programming SW such as LabView, Python and R.
• Some experience required in fixturing, lab testing methods and/or equipment validation.
• Proven strong learning agility required.
• 1-2 years of experience in executing process/product validation, transfer of products from R&D into manufacturing, and working on multidisciplinary teams that include all functions in the manufacturing environment.
• Proven knowledge in mechanical, electrical, or optical design principles.

Education:

• BSc. in Engineering (Industrial, Mechanical or Electrical)
• MS and ASQ Certifications in Quality Engineering and Reliability Engineering strongly preferred.
• Fluent in English, proficient in preparing detailed technical reports and interim presentations of results.

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”