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Process Engineer (Advanced R&D)

Los Angeles, CA, US • Posted 1 hour ago • Updated 1 hour ago

Full Time

On-site

USD $95,000.00 - 140,000.00 per year

Fitment

Dice Job Match Score™

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Job Details

Skills

Artificial Intelligence
Ideation
Manufacturing
Art
Machine Learning (ML)
3D Printing
Metrology
Distribution
Printing
Design Of Experiments
Research
Materials Science
Physics
Mechanical Engineering
Process Engineering
Semiconductors
Python
MATLAB
Data Analysis
JMP
Minitab
Microscopy
Scratch
Communication
Research and Development
Computer Hardware
Innovation
Collaboration
Insurance
PPO
HMO
Life Insurance
Team Building
SAP BASIS

Summary

PROCESS ENGINEER (ADVANCED R&D)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Process Engineer at Freeform, you will have the unique opportunity to invent novel processes for the world's most advanced metal 3D printing systems. You will deep dive into complex, multi-physics phenomena to gain a fundamental understanding of the system and use those learnings to create a new state-of-the-art process. You will work alongside an interdisciplinary team of mechanical, software, and simulations engineers to analyze massive in-situ data sets as well as post-print material characteristics and rapidly iterate on improving the printing technology with machine learning. The ideal candidate will be comfortable working in a fast-paced R&D environment, solving very audacious problems from scratch.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:

Assist the Process Engineering team in developing a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process
Drive execution of experiments, analyze data, and develop and optimize processes on a metal additive system
Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure
Generate and track quality metrics of printed customer parts such as dimensional accuracy, defect distribution, and surface roughness
Assist in the development and implementation of tool qualification procedures
Collaborate with mechanical, software, and simulations engineers to analyze data and rapidly improve printing processes

Basic Qualifications:

Advanced degree (MS/PhD) in material science, physics, or similar engineering discipline
First principles thinker with strong fundamentals in physics
Experience with experimental design and statistical data analysis
Strong data analysis skills and ability to interpret important information from extremely large data sets

Nice to Have:

Undergraduate research experience in material science, physics, mechanical engineering
Process development experience from cutting edge industries such as semiconductor, solar, or displays
Experience with Python and/or MATLAB
Experience with statistical data analysis software such as R, JMP, or Minitab
Experience operating complex equipment
Familiarity with metallurgical sample preparation such as cutting, grinding, polishing, acid etching, and optical microscopy
Passion for developing new processes from scratch
Excellent verbal and written communication skills

Location:

Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
Benefits
- Significant stock option packages
- 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
- Life insurance
- Traditional and Roth 401(k)
- Relocation assistance provided
- Paid vacation, sick leave, and company holidays
- Generous Paid Parental Leave and extended transition back to work for the birthing parent
- Free daily catered lunch and dinner, and fully stocked kitchenette
- Casual dress, flexible work hours, and regular catered team building events
Compensation
- As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.
- In addition to the significant stock option package, the estimated salary range for this role is $95,000-$140,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183405
Position Id: 26341242761b6365b862a1242fbc1451
Posted 1 hour ago

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