Simulation Engineer, AI & Data

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$100,000 – $150,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

High Performance Computing, Cloud Computing, Engineering SoftwareIndustries

Requirements

Candidates should have an advanced degree in Machine Learning, Computer Science, Aerospace Engineering, or a related field, preferably a PhD. They must possess 5-10 years of industry experience, strong problem-solving skills, and self-motivation. Software development experience is required, along with expertise in Simulation and applying AI technology to CAE workflows. Proficiency in key skills such as PyTorch, Modulus, PyG, CAE/CFD/FEA, REST API development, CUDA, and Kubernetes is essential. Excellent communication and teamwork skills are necessary, as is the ability to work independently and manage multiple tasks effectively. A passion for continuous learning and professional development is also important.

Responsibilities

The Simulation Engineer will become an expert in the Rescale platform and its application to customer workflows. They will solve complex Simulation AI problems for customers on the platform, integrate cutting-edge AI technologies into CAE workflows, and collaborate with a dynamic and agile development team. Engaging directly with customers to understand their needs and provide tailored solutions is a key duty. Additionally, they will contribute to the development and enhancement of AI software products, stay updated with the latest advancements in Simulation and AI technologies, and participate in code reviews, providing constructive feedback to peers.

Skills

Machine Learning

Computer Science

Aerospace Engineering

PyTorch

Modulus

PyG

CAE

CFD

FEA

REST API development

CUDA

Kubernetes

Simulation

Software development

Rescale

Cloud platform for high-performance computing

About Rescale

Rescale offers a cloud-based platform for high-performance computing (HPC) solutions aimed at computational engineering and research & development (R&D). The platform helps clients overcome limitations of outdated hardware by providing scalable computing resources, enabling faster product development and improved collaboration. Rescale differentiates itself with a pay-as-you-go model, allowing clients to access computing power on demand. The company's goal is to enhance innovation and competitiveness in the digital engineering sector.

San Francisco, CaliforniaHeadquarters

2011Year Founded

$148.2MTotal Funding

SERIES_CCompany Stage

Industrial & Manufacturing, Enterprise SoftwareIndustries

201-500Employees

Benefits

Health Insurance - Medical, dental and vision coverage.

Apple Gear - Get the latest tools to do amazing work.

Team Events - Happy hours, picnics, and hackdays

Catered Lunches - Get tasty meals delivered three days a week.

Commuter Benefits - Pre-tax savings on your commute.

401(k) + Stock Options - Receive meaningful equity in the company.

Risks

Competition from NVIDIA's Omniverse Blueprint may overshadow Rescale's simulation offerings.

Ansys and NVIDIA partnership could draw customers away from Rescale.

Reliance on partnerships exposes Rescale to risks if partners face difficulties.

Differentiation

Rescale offers cloud-native HPC solutions for diverse R&D and engineering applications.

The platform supports AI-driven real-time simulations, enhancing design efficiency and productivity.

Rescale's partnerships expand its capabilities in quantum computing and sustainable energy sectors.

Upsides

Collaboration with NVIDIA enhances Rescale's AI-based CAE acceleration capabilities.

Partnership with IonQ opens new markets in healthcare and national security.

Recognition by Gartner and Deloitte boosts Rescale's market credibility and client attraction.

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