Juul Labs

Senior Design Engineer

San Francisco, California, United States · Senior

No sponsorship$165k-$227kDetected 14 days ago

PythonData AnalysisStatisticsCustomer SupportSolidWorksFEACFDMechanical DesignResearchFood Science

About the role

This is a high-visibility position that will expose you to rewarding challenges and career growth opportunities.
In this hands-on role, you will be responsible for designing new products that are innovative, cost efficient, reliable, and ship on schedule.
You will be comfortable sketching and prototyping new ideas and be familiar with engineering best practices, concepts and procedures.

Responsible for the overall design, analysis, documentation, and functional validation of mechanical components and assemblies through daily benchtop prototyping; balancing Industrial Design with mechanical constraints.
Derive meaningful insights through data analytics to drive improvements in existing algorithms.
Design, implement, and drive to completion complex system DoEs spanning several engineering disciplines including EE, ME, FW, and SW.
Execute root cause analysis and corrective action implementation as a result of build issues and reliability testing.
Conduct and manage rapid feasibility studies to design for mechanical robustness, schedule, and cost.
Work directly with our CM or prototyping partners in support of system assembly build activities.
Facilitate design reviews.
Travel to support manufacturing builds.
Design Engineer will be joining an incredibly talented group of mechanical engineers on our Product Design team tasked with bringing new products and major product improvements to market for JUUL Labs.
You will troubleshoot and make improvements to existing products, and work closely with other members of the engineering staff to create optimal solutions to difficult design, structural, thermal, and battery life issues.

Expertise in 3D MCAD, Solidworks or Onshape preferred.
Skilled in designing consumer-oriented products using a broad range of processes and materials, with an emphasis on cosmetic plastic molding and metal parts (sheet metal, CNC, extrusion, etc).
Domestic and international travel up to 25%.
Self-motivated, team player, with a strong desire to learn new skills and grow.
A proven prototyping background and a hands-on maker mentality that allows you to prototype and test quickly in a lab environment.
Functional proficiency in Python for data acquisition and sensor-log analysis, along with an enthusiasm for leveraging modern AI tools effectively.
Ability to comfortably navigate and modify existing firmware branches to enable early-stage prototype functionality would be favorable.
Leverage existing tools, systems, and/or processes for data collection and analysis.

Equity and performance bonuses.
Cell phone subsidy, commuter benefits and discounts on JUUL products
Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits

Juul Labs's mission is to transition the world's billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products.
We have the opportunity to address one of the world's most intractable challenges through a commitment to exceptional quality, research, design, and innovation.
Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.
We are a diverse team that is united by this common purpose and we are hiring the world's best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals.
If the opportunity to build your career is compelling, read on for more details.
401(k) plan with company matching
You will drive the validation of concepts via early analysis, prototyping and testing, and work with cross-functional teams to ensure that product requirements are met to achieve optimal experiences for our customers.

This listing is sourced directly from Juul Labs's careers page and normalized into a canonical job model.