Software Engineer, Generalist (C++/Python)

Fabri•Boston, MA

21h•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, Generalist to build the software systems that connect Fabri’s digital manufacturing process end-to-end. You will work across manufacturing preparation, geometry processing, workflow automation, data collection, internal tools, and machine/process integration. Some projects may involve robotics, AWS, databases, or applied data science, but we do not expect one person to be an expert in all of these areas. The right candidate is a strong C++ and 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
Python skills in addition to C++ is a plus
Experience building backend systems, automation tools, data pipelines, infrastructure-adjacent 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, geometry, hardware, physical processes, or industrial automation.
Ability to communicate clearly with both software engineers and non-software teammates.
Willingness to work on-site and stay close to the manufacturing process.
Must be a US national (US citizen or lawful permanent resident) to comply with ITAR regulations.

Nice To Haves

Computational geometry, CAD/CAM, slicing, 3D printing, simulation, or robotics.
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.
Applied data science or machine learning for prediction, anomaly detection, inspection, or process monitoring.
Experience building internal dashboards, lightweight operator tools, and/or GUI’s.
Experience working in an early-stage startup environment.

Responsibilities

Build and extend software pipelines that prepare customer parts for manufacturing.
Develop tools for build preparation, job setup, scheduling, and production execution.
Connect internal software systems with factory workflows, operator tools, machines, and external platforms.
Write C++ and/or Python software for geometry processing, automation, data processing, and manufacturing orchestration.
Design practical data collection systems for process data, machine logs, inspection results, and operator feedback.
Build backend services, scripts, databases, and internal tools that make the factory more reliable and scalable.
Help identify where automation, instrumentation, analytics, or machine learning can improve quality, throughput, and repeatability.
Work closely with manufacturing, process engineering, and operations to turn factory problems into usable software.