
Ares Materials is an innovative materials science company focused on developing next-generation optical polymers using AI and Machine Learning. Their proprietary platform, Pylux, combines unique…

Ares Materials is an innovative materials science company focused on developing next-generation optical polymers using AI and Machine Learning. Their proprietary platform, Pylux, combines unique…
Headquarters: Plano, Texas
Core product: Pylux — AI-driven materials informatics platform for optical polymers
Applications: Films, coatings, OCA/PSA, OCR for mobile, foldable, tablets, automotive, AR/VR, transparent displays
Founded: 2015–2016 (company formation timeframe)
Recent stage (public profiles): Series B
Materials design for display and optical applications
2015
Materials technology
Public profiles list Series B as most recent round; amounts and exact dates not publicly disclosed in provided evidence.
“Backed by venture capital and government grants (investors listed include 1200 VC, L'ATTITUDE, National Science Foundation and others)”
We are looking for a junior-level engineer or early-career scientist who has studied one of the following disciplines: computer science, chemistry, physics, or materials science, and who is comfortable working across both software development and scientific domains.
This is a hybrid role at the intersection of software development and scientific problem-solving, focused on automating atomistic simulation workflows. The ideal candidate combines hands-on programming skills with a strong interest in scientific problems, and is motivated to build robust, automated simulation pipelines.
The core objective of the role is to support and progressively contribute to the automation of large-scale simulation workflows that enable high-throughput calculation of chemical and physical properties. This includes working with simulations on a computational cluster, interacting with distributed task queues, and helping manage results stored in databases and distributed file systems.
The role involves close collaboration with simulation scientists and infrastructure teams, and offers mentorship and guidance while developing scalable, reproducible, and maintainable software systems.
Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
70,000+
Startups
82,000+
Open Roles
4,600+
New This Week
| Company |
|---|
Required background
Nice to have / strong plus
Responsibilities
Tipo de puesto: Tiempo completo
Sueldo: $15,000.00 - $25,000.00 al mes
Beneficios:
Puede trasladarse/mudarse:
Escolaridad:
Ubicación:
Lugar de trabajo: Empleo presencial