Software Engineer, Applied ML

Fabri•Billerica, MA

12h•Onsite

About The Position

Fabri is building a fully integrated digital foundry for high-speed precision metal casting. We combine additive manufacturing, custom process software, and advanced casting operations to deliver production-quality metal parts faster and more cost-effectively than traditional methods. We are an early-stage, well-capitalized startup backed by top-tier investors and major customers. We have shipped our first customer parts and are seeing strong demand from aerospace and industrial customers. During this stage of the company, the software team works directly with the foundry. This is an on-site role for someone who wants to build software that controls, improves, and scales real-world manufacturing. The Role We are looking for a Software Engineer, Applied ML to build the software systems that connect Fabri's digital manufacturing process end-to-end. You will primarily work across manufacturing data, process analytics, workflow automation, and machine/process integration , developing software that helps improve manufacturing quality, throughput, and repeatability. Your work will include collecting and processing manufacturing data, analyzing historical process performance, identifying correlations between process variables and manufacturing outcomes, and building systems that help engineers detect and prevent production issues. Some projects may involve geometry processing, AWS, or backend infrastructure, but we do not expect one person to be an expert in all of these areas. The right candidate is a strong C++ and/or Python engineer who enjoys ambiguous problems, physical systems, and wearing many hats. You should be comfortable building reliable software around real-world processes, working directly with operators and engineers, and deciding what needs to be automated next. You will report to the CTO and own important pieces of Fabri's manufacturing software stack.

Requirements

3+ years of professional software engineering experience.
Strong programming ability in C++17 and/or Python.
Experience building backend systems, automation tools, data processing software, or technical internal tools.
Strong debugging and systems-thinking skills.
Comfortable working in ambiguous environments where requirements are not fully specified.
Interest in manufacturing, robotics, hardware, physical processes, industrial automation, or applied machine learning.
Ability to communicate clearly with both software engineers and non-software teammates.
Willingness to work on-site and stay close to the manufacturing process.

Nice To Haves

Applied data science or machine learning for prediction, anomaly detection, inspection, or process monitoring.
Manufacturing execution systems, industrial automation, sensors, machine logs, or IoT data.
Postgres, time-series data, data modeling, or analytics pipelines.
AWS, containers, batch compute, or deployment infrastructure.
Experience working in an early-stage startup environment.

Responsibilities

Design practical data collection systems for process data, machine logs, inspection results, and operator feedback.
Build software that processes manufacturing data and identifies opportunities to improve quality, throughput, and repeatability.
Analyze historical process data, geometry, and manufacturing outcomes to identify trends and correlations.
Build, train, and deploy ML models that predict manufacturing outcomes from process and geometry data, detect anomalies in production, and support inspection and process monitoring.
Write C++ software for data processing, automation, and manufacturing orchestration.
Help identify where automation, analytics, or machine learning can improve manufacturing processes.
Build backend services and internal tools that make the factory more reliable and scalable.
Work closely with manufacturing, process engineering, and operations to turn factory problems into usable software.