Fleet Care Supervisor - Full Time (Los Angeles)

Freeform

MECHANICAL ENGINEER (SITE INFRASTRUCTURE) 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 Mechanical Engineer (Site Infrastructure) at Freeform, you will have the unique opportunity to bridge the gap between site infrastructure and next-generation autonomous manufacturing. You will deep dive into the complex mechanical systems that power Skyfall, our proprietary printing platform, ranging from industrial fluid and cooling systems, high-pressure gases, and factory performance monitoring systems leveraging sensors and data acquisition. This work is critical to the ultimate goal of enabling Freeform to deploy and scale its hardware stack globally. You will work alongside an interdisciplinary team of engineers to create custom solutions that ensure Freeform’s physical infrastructure is as advanced as the software driving it. The ideal candidate possesses a "no job too big or small" mentality and is a proactive problem-solver dedicated to accelerating the pace of innovation.  3D printing experience is not required to be successful here - we look for leaders who are organized, accountable, collaborative, and motivated to build and scale world-class hardware operations. Responsibilities: * Design and implement custom infrastructure for our next-gen printing system, Skyfall, including state-of-the-art thermal management (chillers), industrial plumbing, and high-flow gas delivery * Develop and integrate factory performance monitoring systems, leveraging sensors and data acquisition (DAQ) to ensure real-time visibility into utility health, pressure levels, and flow rates * Oversee critical utilities, ensuring power, process water, and industrial gases like nitrogen and argon are supplied to the Skyfall fleet in strict accordance with safety codes * Define and implement preventive maintenance for facilities equipment (pumps, compressors, and HVAC) to optimize operational efficiency and minimize system downtime with a pragmatic eye for automation opportunities * Secure the availability of specialized fluid system components and high-pressure fittings to ensure that infrastructure build-outs and engineering projects always move at the pace of innovation  Basic Qualifications: * Bachelor’s degree in mechanical or aerospace engineering or similar engineering discipline * 2+ years of facilities engineering, factory engineering, launch/ground systems engineering or similar experience * Strong first principles understanding of fluid mechanics, thermodynamics, and heat transfer * Hands-on ability to troubleshoot and repair complex mechanical and fluid systems Nice to Have: * Experience with Environmental, Health, and Safety (EHS) practices, specifically regarding high-pressure gas safety (NFPA 55) and metal powder handling * Proficiency in 3D CAD software (SolidWorks, NX, or similar) for designing facility layouts, piping routes, and custom mechanical mounts * Experience developing infrastructure for high-volume production or scaling automated manufacturing lines * Hands-on experience with industrial automation controls, PLCs, or building management systems (BMS) * Background in aerospace ground support or rocket engine test site operations involving cryogenic or high-pressure fluid systems * Experience with new facility buildouts, including managing external MEP (mechanical, electrical, plumbing) contractors * Knowledge of ITAR, ISO 9001, and/or similar industrial compliance standards * Experience with metal additive manufacturing or similar powder-based industrial processes * Excellent verbal and written communication skills with the ability to present technical infrastructure plans to cross-functional teams 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 $90,000-$150,000. 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.

Freeform

PRINCIPAL MACHINE LEARNING RESEARCHER (PHYSICAL AI) 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. This architecture enables continuous generation of petabyte-scale, high-fidelity data capturing the physics of metal printing - from in-situ process signals and machine state to geometry and material outcomes. Each factory node contributes to a growing learning system that improves modeling accuracy, control performance, yield, and scalability over time.  Freeform is hiring a Principal Machine Learning Researcher to lead the development of advanced learning and control problems in a production-scale, AI-native metal manufacturing system. The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy frameworks. Work includes modeling relationships between process inputs, geometry, and machine state to predict thermal, mechanical, and geometric outcomes during printing, using hybrid physics–ML approaches and multi-modal in-situ data.  Research is validated against physical outcomes and deployed into production systems, where improvements directly impact stability, yield, throughput, and capability across an expanding fleet of manufacturing nodes. Your work will have a direct and meaningful impact on how frontier technologies are designed and produced at scale.  Responsibilities: * Design and develop machine learning models for complex, multi-physics manufacturing processes.  * Develop hybrid modeling approaches that combine first-principles physics with data-driven learning.  * Lead the formulation of learning-based models used for prediction and control in production-scale metal additive manufacturing systems.  * Develop methods to learn from large-scale, high-dimensional in-situ sensor data collected during printing.  * Design unsupervised and self-supervised learning techniques to correlate process signals with part quality, geometry, and performance.  * Develop models that link process parameters, geometry, and machine state to thermal and mechanical outcomes.  * Integrate learned models with physics-based simulation and digital twin frameworks.  * Contribute to the design of closed-loop control and autonomy systems that operate in real time on production hardware.  * Develop learning-based approaches for machine health monitoring, anomaly detection, and system diagnostics.  * Guide the integration of machine learning models into production software and manufacturing workflows.  * Help define research direction and technical standards for machine learning applied to physical systems within the organization.  Basic Qualifications: * 5+ years of experience in machine learning, applied research, or related technical fields or a PhD in machine learning, applied mathematics, physics, robotics, controls, or a closely related discipline.  * Strong foundations in machine learning applied to physical systems, modeling, or control.  * Proficiency in Python and at least one systems-level programming language (C/C++ preferred).  * Experience working with large-scale, noisy, real-world datasets.  Nice to Have: * MS or PhD in applied mathematics, physics, robotics, controls, materials science, or a related discipline.  * Experience with hybrid physics–ML models, digital twins, or simulation-in-the-loop learning.  * Background in autonomy, robotics, model predictive control, or reinforcement learning for physical systems.  * Experience with image-based or sensor-based inference in industrial or scientific settings.  * Familiarity with computational geometry or geometric modeling.  * Comfort working across theory, experimentation, and deployment in tightly coupled systems.  * Ability to reason from first principles and translate theory into working models and systems.  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 $200,000-$400,000. However is this a unique position with outsized impact for the right game-changing hire, so we will consider compensation outside of this range on a case-by-case basis. * 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.

Freeform

SENIOR FPGA ENGINEER 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 FPGA Engineer at Freeform, you will be a key technical contributor on our next-generation compute platform, a distributed system of hundreds of FPGAs orchestrating many dozens of high-power lasers in real time. This is not a standard FPGA role. You will be working at the boundaries of what’s physically possible with reconfigurable compute: processing hundreds of thousands of frames per second through a real-time ML inference pipeline, with latency budgets that leave no margin for error. You will work with cutting-edge silicon including the Xilinx Zynq Ultrascale+ MPSoC, and tightly couple FPGA fabric with state-of-the-art GPUs as part of one of the most demanding heterogeneous computing platforms in existence.  You will be a core builder of the FPGA platform at Freeform, designing new components, going deep on implementation, tackling hard problems across RTL, timing, and system integration, and having a major seat at the table on major architectural decisions. We are pioneering the use of FPGAs for real-time machine learning in an industrial manufacturing context, a space where almost no prior art exists. This is high-impact work at the frontier of what FPGA-based computing can do, and it sits at the heart of what makes Freeform’s technology unlike anything else in the world.  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: * Design, implement, and optimize subsystems within a massively parallel, ultra-low latency FPGA pipeline processing hundreds of thousands of frames per second across a fleet of hundreds of FPGAs  * Collaborate closely with software, electrical, and process engineering teams to build and advance FPGA capabilities at the system level  * Build and optimize real-time ML inference pipelines directly on FPGA fabric, one of the most demanding and least-explored frontiers in reconfigurable computing  * Develop RTL components and IP blocks with rigorous attention to timing closure, resource utilization, and deterministic latency  * Implement high-performance signal processing algorithms on FPGA, including custom arithmetic, filtering, and feature extraction at line rate  * Implement deterministic, nanosecond-precision controllers for high-power laser systems operating under strict real-time constraints  Basic Qualifications: * Bachelor’s degree in computer engineering, electrical engineering, computer science, or related field   * 8+ years of FPGA development experience in SystemVerilog or VHDL   * Familiarity with Xilinx Vivado/Vitis toolchain development environment   * Experience with high-speed IO, board bring up, and similar hardware-centric FPGA development domains  Nice to Have: * Master’s degree in computer engineering, electrical engineering, computer science, or related field   * Experience with image processing or DSP  * Experience with Xilinx Zynq Ultrascale+ MPSoC   * Experience with embedded software development including embedded Linux and System on Chip (SoC)-based architectures   * Experience implementing math/advanced computations on FPGAs   * Experience with heterogeneous computing platforms and high-speed data acquisition systems   * Familiarity with C/C++ or other high-level programming languages   * Excellent verbal and written communication skills   * Creative thinker able to apply first-principles reasoning to solve complex problems   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 $160,000 - $250,000/year. 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.