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SeniorВ офисеПолная занятость

Senior Process Engineer (Advanced R&D)

Оценка ИИ

Исключительная вакансия в высокотехнологичном стартапе с отличным соцпакетом, опционами и возможностью работать на острие технологий (AI + 3D Printing).


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью глубоких знаний в области физики металлов, материаловедения и анализа данных (DOE), а также работы в быстро меняющейся R&D среде.

Анализ зарплаты

Медиана165 000 $
Рынок135 000 $ – 210 000 $
Оценка ИИ

Предлагаемый диапазон $140k-$200k полностью соответствует рыночным стандартам для Senior-позиций в области Deep Tech и R&D в Лос-Анджелесе. Верхняя граница выше медианы, что отражает высокую ценность узкоспециализированных навыков.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Process Engineer position at Freeform. With over five years of experience in process development for complex physics-based applications, I have developed a deep expertise in designing experiments (DOE) and analyzing large-scale data sets to optimize system performance. My background in semiconductor and advanced manufacturing aligns perfectly with Freeform’s mission to unify software, hardware, and physics into a single integrated manufacturing system.

In my previous roles, I have successfully led R&D initiatives that required a fundamental understanding of multi-physics phenomena and the implementation of statistical process control. I am particularly drawn to Freeform’s approach of using machine learning to iterate on printing technology. I am eager to bring my skills in metallurgical analysis and data-driven process optimization to your interdisciplinary team in Hawthorne and contribute to scaling this world-changing technology.

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Присоединяйтесь к команде Freeform и создавайте будущее металлической 3D-печати с использованием ИИ!

Описание вакансии

SENIOR 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 Senior 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:

  • Develop 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
  • Work independently to design and execute 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
  • Develop and implement tool qualification procedures
  • Collaborate with mechanical, software, and simulations engineers to analyze data and rapidly improve printing processes
  • Strategize continuous improvement plans to enhance system performance, reliability, and scalability

Basic Qualifications:

  • Bachelor’s degree in material science, physics, mechanical engineering, or similar engineering discipline
  • 5+ years of process development experience in complex physics-based applications such as semiconductor, solar, or additive manufacturing
  • Experience developing Design of Experiments (DOE), statistical data analysis, and process optimization
  • Experience gathering and processing large data sets

Nice to Have:

  • Master’s or PhD in material science, physics, mechanical engineering
  • Process development experience from cutting edge industries such as semiconductor, solar, or displays
  • Experience with machine learning or data science
  • Experience with statistical data analysis software such as R, JMP, Python, or Minitab
  • Experience with statistical process control and tool health monitoring
  • Experience operating complex equipment
  • Familiarity with metallurgical sample preparation such as cutting, grinding, polishing, acid etching, and optical microscopy
  • Familiarity with programming languages such as MATLAB or Python
  • 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.

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 $140,000-$200,000. 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.
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Навыки

  • Process Development
  • Design of Experiments
  • Data Analysis
  • Material Science
  • Physics
  • Python
  • MATLAB
  • R
  • JMP
  • Minitab
  • Machine Learning
  • Statistical Process Control
  • Metallurgy
  • Microscopy

Возможные вопросы на собеседовании

Проверка опыта в планировании экспериментов, что критично для оптимизации процессов 3D-печати.

Расскажите о самом сложном дизайне эксперимента (DOE), который вы разработали. Каких результатов удалось достичь?

Вакансия предполагает работу с огромными массивами данных с датчиков (in-situ data).

Какие методы и инструменты вы используете для обработки и анализа больших наборов данных, полученных в режиме реального времени?

Важно понять, как кандидат справляется с неопределенностью в исследовательских проектах.

Опишите случай, когда результаты эксперимента полностью противоречили вашим ожиданиям. Как вы изменили свой подход?

Позиция требует взаимодействия с инженерами по ПО и симуляциям.

Как вы выстраиваете коммуникацию с разработчиками ПО для внедрения алгоритмов машинного обучения в физические процессы?

Проверка технических навыков контроля качества материалов.

С какими методами метрологии и анализа микроструктуры сплавов вы работали наиболее плотно?

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