Software Intern (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Software Intern (AI): Exploring and applying AI/ML techniques, including Graph Neural Networks (GNNs), to graph- or mesh-structured engineering data with an accent on developing AI-driven approaches for engineering and physics-based applications. Focus on improving model accuracy and performance, and contributing to technical discussions.
Location: Austin, USA
Company
hires and develops leaders and innovators who want to make an impact on the world of technology.
What you will do
- Explore and apply AI/ML techniques, including Graph Neural Networks (GNNs), to graph- or mesh-structured engineering data
- Assist in developing AI-driven approaches for engineering and physics-based applications, such as thermal and structural simulation
- Work with researchers and engineers to prototype, test, and evaluate AI models in simulation workflows
- Analyze experimental results and help improve model accuracy and performance
- Contribute to technical discussions, documentation, and research or prototype code
Requirements
- Bachelorβs or higher in Computer Science, Engineering, or a related field
- Strong foundation in data structures and algorithms
- Programming experience in C/C++ and Python
- Familiarity with basic software development practices (debugging, version control)
- Strong collaboration skills, curiosity, and motivation to learn
Nice to have
- Familiar with mesh-based data structures or graph representations
- Coursework or project experience related to AI/ML
- Experience using GNNs for mesh- or graph-based engineering and simulation problems
- Exposure to EDA, CAD/CAE, or other simulation-based domains
- Interest in performance optimization, parallel computing, or GPU acceleration
- Experience with ML frameworks (e.g., PyTorch, TensorFlow) is a plus
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β