Senior Software Engineer, Computational Engineering

Divergent•Torrance, CA

2d•Hybrid

About The Position

Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Purpose We are looking for a Senior Software Engineer, Computational Engineering with a strong background in developing and maintaining complex engineering software aimed for manufacturing applications. You will be contributing to Divergent’s proprietary software for advanced additive manufacture, including toolpath generation for large-format Laser Bed Powder Fusion (LBPF) printers and the integration of these solutions into the broader Divergent Adaptive Production System (DAPS). The position involves computational geometry algorithmic solutions, as well as integration with engineering and factory applications.

Requirements

Ability to lawfully access information and technology that is subject to US export controls
Bachelor’s or master’s in computer science (or related) + 5 years of professional software‑engineering experience.
Advanced proficiency in C++ for production codebases.
Strong mathematical background and an understanding of computational geometry.
Familiarity with Python.
Solid understanding of system design, scalability, and cloud‑native architecture.

Nice To Haves

CI/CD pipeline design, experience with Docker and container technologies.
Familiarity with microservice infrastructures and tools, such as Temporal and GraphQL
Experience with C++11 (and newer), multithreading, OpenMP, TBB.
Experience with CAM/CAD tools.
Experience with developing robust software in manufacturing applications.
Experience with Qt.

Responsibilities

Design, implement, test and deploy algorithmic solutions for LBPF toolpath generation
Collaborate with cross-functional teams to gather requirements and propose new solutions to improve material quality and print productivity via software solutions
Integrate engineering software into the broader factory application infrastructure
Contribute to code reviews, and produce robust code solutions that can be used in a manufacturing production environment
Contribute to CI/CD workflows to containerize and automate deployments