Unconventionalinc

Junior System Modeling

Palo Alto, CA I US Remote · Junior · Internship

Sponsorship not specifiedDetected 49 days ago

C++AlgorithmsDatabricksMachine LearningDeep LearningPyTorchElectrical EngineeringResearchMentoring

About the role

We recently raised $475M in seed funding to turn this vision into reality.
As a Junior Member of Technical Staff, System Modeling, you will work closely with senior engineers to contribute to the development of our multi-disciplinary simulation frameworks.
Why Join Us? - Mentorship: Learn directly from the architects who built the modern AI stack at companies like Intel, Databricks, and NVIDIA. - Impact: You won't be a small cog in a giant machine.

Support the maintenance and extension of the unified end-to-end simulation environment, helping to link theory, algorithms, and device models, and ensuring alignment between high-level and near-physical simulators.
Help implement and adhere to robust experiment tracking protocols to ensure simulation results, configurations, and non-idealities are reproducible and auditable.
Collaborate with Algorithms and Hardware teams to gather requirements and ensure the modeling environment meets their needs for high-level algorithm development and lower-level hardware verification.
You will be helping build the machine itself.

Coding Proficiency: Strong skills in C++ and Python.
First Principles Mindset: You enjoy digging into "why" things work (or don't) and aren't afraid to challenge conventional software "best practices" to find a more efficient path.
Experience with compilers (LLVM, MLIR) or domain-specific languages like Triton.
Prior research or internship experience in high-performance computing (HPC) or neuromorphic systems.

Competitive Package: Significant equity and competitive salary at a well-funded, high-growth startup.

Significant equity and competitive salary at a well-funded, high-growth startup.
AI/ML Exposure: Basic familiarity with the internals of deep learning frameworks (e.g., how a PyTorch graph is executed) and common model architectures.

This listing is sourced directly from Unconventionalinc's careers page and normalized into a canonical job model.