Vinci

Engineering

SimulationRuntimeSoftwareEngineer(Senior)

$220–265k Palo Alto, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Simulation Runtime Software Engineer (Senior) at Vinci. Skills: Parallel computing, Runtime applications, GPU computing. Design low-latency solutions. Implement low-latency solutions”

What You'll Achieve.

Increase simulation throughput by two orders of magnitude; Expand simulation capabilities; Support global, multi-entity deployment

Industry & Context.

Engineering
Problems you'll solve

Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

Deep understanding of scientific computing, Deep understanding of boundary decomposition problems, Deep understanding of parallel computing, Experience working on HPC runtime applications, Experience with highly parallel computing, Contributed to a production data processing system

Nice to Have

Worked on highly performant deployed inference environments, Shipped HPC library components, Experience going from early stage prototype to production, Experience with highly parallel ML training frameworks

What You'll Do.

Design low-latency solutions

Implement low-latency solutions

Design scalable solutions

Implement scalable solutions

Decompose production simulations

Distribute production simulations

Increase simulation throughput

Expand simulation capabilities

Support global deployment

How You'll Work.

Team & Collaboration

Cross-functional teams; Physicists; AI researchers; Software Engineers; Computational Geometry experts

Full Job Description

THE MISSION At Vinci, we are building the operator intelligence infrastructure that modern hardware programs rely on daily. We have already proven that a single foundation model works out of the box across physics on realistic production workloads. - Trained on PetaBytes of structured physics data - Running billion-voxel inference in production - Tier-1 semiconductor and hardware customers - Operating across multiple physical scales and operator regimes We are scaling deployment at industrial magnitude: - Increase simulation throughput by two orders of magnitude - Expand simulation capabilities to maximize utility and domain coverage - Support global, multi-entity deployment across Tier-1 ecosystems Our ambition is to become the default operator intelligence layer that hardware companies run on. SIMULATION RUNTIME Mapping a computational problem to a runtime environment is the engine of our product. Making our simulations run fast across heterogeneous compute platforms while retaining accuracy is at the center of our value proposition to customers. Delivering involves overcoming many challenges; efficient data sharing or customizing inference and math to bespoke runtime hardware. The value: making Vinci Simulations run effectively regardless of the hardware: from a single desktop to multi-gpu clusters that span global data center sites. This kind of compute platform flexibility means simulations are easier to run and complete faster when hardware permits. The ability to losslessly divvy up simulations across large scale compute resources will unlock new utility for our customers and power larger more useful applications. WHAT YOU WILL DO Your north star will be parallelism and correctness. In this role you will design and implement low-latency, scalable solutions to decompose and distribute our production simulations across the most challenging computational boundaries; - Multi-GPU machines - Multi-Node clusters - Networked nodes WHAT WE’RE LOOKING FOR Being success

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