Senior Manufacturing Engineer, Process Development & Data Science

Palo Alto, CA /
Manufacturing Engineering – Manufacturing Engineering /
Full Time
Process Development & High Volume Manufacturing
·         Conduct exploratory studies to identify processes to meet challenging product requirements
·         Identify critical process parameters and conduct experiments using Design of Experiments (DOE) methods to determine sensitivity and acceptable process windows
·         Develop cause and effect analysis, Process Failure Mode Effects Analysis (PFMEA) and control plan
·         Troubleshoot and identify corrective measures to critical equipment (mechanical, electrical, thermal, optical etc.) related problems
·         Conduct installation and qualification of tools using Measurement Systems Analysis (MSA), Process Stability and Capability, and equipment/process matching
·         Enable Statistical Process Control (SPC) and create standard operation and maintenance procedures to support the transition to sustainable production 
·         Execute data driven root cause analysis as part of reject validation and excursion investigations
·         Drive continuous improvement & optimization activities to meet production targets including availability, quality, and performance
Data Science
·         Solve manufacturing challenges (e.g. process capabilities, efficiency, cost) through descriptive, predictive and prescriptive analytics methods
·         Build data pipelines to enable operational and exploratory analysis
·         Define and standardize metrics, and implement reports and dashboards using data visualization tools
·         BSBS/MS/PhD in Engineering, Physics, Mathematics (or equivalent)
·         Hands-on experience in building/troubleshooting automation systems and acquiring experimental data
·         Experience with querying, aggregating, analyzing, and visualizing data
·         Proficiency with scripting (Python), querying (SQL), and statistical (JMP) languages/programs (or equivalent)
·         Strong understanding of Statistical Analysis, Design of Experiments (DOE), Gauge Repeatability and Reproducibility (GRR), Failure Mode Effects Analysis (FMEA), Statistical Process Control (SPC) and other Six Sigma Tools
·         Experience with machine/deep learning techniques are a bonus
·         Minimum of 3 years experience in an automated manufacturing environment (including internships)
·         Able to work under pressure while managing competing demands and tight deadlines of multiple simultaneous projects and challenges
·         Strong problem solving skills and aptitude for learning systems quickly
·         Communicate effectively with direct team and peers within a manufacturing and engineering organization. This includes exemplary verbal and written communication skills.
·         Detail oriented with strong record-keeping and organizational skills
·         Ability to travel both domestically and internationally as required
Department: Manufacturing Engineering
Location: Palo Alto, CA
Rivian is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Rivian is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Rivian are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Rivian will not tolerate discrimination or harassment based on any of these characteristics. Rivian encourages applicants of all ages.