HPC Engineer, AI and Data

United States

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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, Artificial Intelligence, AI & Machine Learning, Engineering, AerospaceIndustries

Requirements

Candidates should possess an advanced degree in Machine Learning, Computer Science, Aerospace Engineering, or a related field, preferably a PhD, along with 5-10 years of industry experience. Essential skills include expertise in HPC and applying AI to CAE workflows, proficiency in PyTorch, Modulus, PyG, CAE/CFD/FEA, REST API development, CUDA, and Kubernetes. Strong problem-solving abilities, self-motivation, software development experience, excellent communication and teamwork skills, and the ability to manage multiple tasks independently are also required.

Responsibilities

The HPC Engineer, AI and Data will become an expert in the Rescale platform and its application to customer workflows, solving complex HPC AI problems for customers. Responsibilities include integrating cutting-edge AI technologies into CAE workflows, collaborating with the development team, engaging directly with customers to understand their needs and provide tailored solutions, and contributing to the development and enhancement of AI software products. The role also involves staying updated with the latest advancements in HPC and AI technologies and participating in code reviews.

Skills

HPC

Machine Learning

PyTorch

Modulus

PyG

CAE

CFD

FEA

REST API development

CUDA

Kubernetes

Software development

Problem-solving

Teamwork

Communication

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 The platform helps clients overcome limitations of outdated hardware by providing scalable computing resources, enabling faster product development and improved collaboration.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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