Process Engineer (New Grad Summer 2027)

FreeformFreeformLos Angeles, California, United States
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Posted

8/19/2026

Employment

Full time

Range

$95k - $120k/year

Work style

On-site

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AI summary

Core responsibilities

The Process Engineer will support the development of metal additive manufacturing processes by analyzing in situ data and executing experiments. They will collaborate with interdisciplinary teams to optimize printing technology and perform post-build material property analysis.

Requirements overview

Candidates must hold a bachelor's degree in materials science, physics, mechanical engineering, or a related field. Strong fundamentals in physics, experimental design, and data analysis using Python or MATLAB are required.

Key skills

Process engineeringMetal additive manufacturingData analysisPythonMATLABExperimental designStatistical analysisMetrologyMaterial sciencePhysicsMechanical engineeringIn situ data analysisMetallurgical sample preparationQuality metricsMachine learningProblem solving

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Education requirements

bachelor degreepostgraduate degree

About Freeform

Industry

Industrial Automation

Employees

67

Type

Privately Held

Size

51-200 employees

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. We are a team of first-principles thinkers driven by a shared mission: to build the fundamental technology that moves the world forward. We believe that solving the foundational challenges of production requires a massive diversity of expertise, deep collaboration, low ego, and a healthy sense of humor. Whether you are an engineer, a builder of systems, or a creative problem-solver in any field, we invite you to help us align the physical world with the pace of human imagination. We are backed by industry leading VC's including Founders Fund, NVIDIA's NVenures, Threshold Ventures, Two Sigma Ventures, Linse Capital, 8VC, Valor, and more who share our conviction in scaling Physical AI to revolutionize manufacturing.

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Job categories

EngineeringManufacturingTechnologyScience & ResearchData & Analytics

Description

PROCESS ENGINEER (NEW GRAD SUMMER 2027) 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 help invent novel processes for the world's most advanced metal 3D printing systems. You will work alongside senior engineers to deep dive into complex, multi physics phenomena, gaining a fundamental understanding of the system and using those learnings to support the creation of new state of the art processes. You will collaborate with an interdisciplinary team of mechanical, software, and simulations engineers to analyze massive in situ data sets as well as post print material characteristics, helping rapidly iterate on improving the printing technology with machine learning. 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: Support 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 Assist in the execution of experiments, analyze data, and help 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 support rapid improvement of printing processes Basic Qualifications: Bachelor's degree in materials science, physics, mechanical engineering, or a similar engineering discipline from an ABET accredited university or college First principles thinker with strong fundamentals in physics Coursework or research experience with experimental design and statistical data analysis Strong data analysis skills and ability to interpret important information from large data sets Experience with Python and/or MATLAB Nice to Have: Advanced degree (Master's, PhD) in materials science, physics, or a similar engineering discipline Undergraduate research experience in material science, physics, or mechanical engineering Process development experience from cutting edge industries such as semiconductor, solar, or displays 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 Comfortable working in fast paced, ambiguous environments and iterating quickly (comfortable building the plane as we fly it) Excellent verbal and written communication skills Demonstrated indicators of excellence and/or achieving success against adversity (i.e. top academic performance, leadership in engineering clubs, first generation college student, or other examples of resilience and achievement 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 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-$120,000, dependent on the candidate's academic level (Bachelors, Masters, or PhD) and demonstrated out of classroom experience. 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.

Requirements

  • Process engineering
  • Metal additive manufacturing
  • Data analysis
  • Python
  • MATLAB
  • Experimental design
  • Statistical analysis
  • Metrology
  • Material science
  • Physics
  • Mechanical engineering
  • In situ data analysis
  • Metallurgical sample preparation
  • Quality metrics
  • Machine learning
  • Problem solving

Benefits

  • Stock options
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • 401(k)
  • Relocation assistance
  • Paid vacation
  • Sick leave
  • Paid parental leave
  • Catered lunch
  • Catered dinner

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