[Remote] HPC Engineer, AI and Data at Rescale

United States

$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

Skills

Key technologies and capabilities for this role

HPCAIMachine LearningPyTorchModulusPyGCAECFDFEAREST API developmentCUDAKubernetesSoftware developmentProblem-solvingTeamworkCommunication

Questions & Answers

Common questions about this position

What is the salary range for the HPC Engineer position?

The salary range is $100K - $150K.

Is this position remote?

Yes, this is a remote position.

What skills are required for this role?

Required skills include an advanced degree (preferably PhD) in Machine Learning, Computer Science, or related field, 5-10 years of industry experience, expertise in HPC and AI for CAE workflows, and proficiency in PyTorch, Modulus, PyG, CAE/CFD/FEA, REST API development, CUDA, and Kubernetes.

What is the company culture like at Rescale?

Rescale features a dynamic and agile development team where you collaborate with peers, participate in code reviews, engage directly with customers, and work in an environment that values continuous learning and professional development.

What makes a strong candidate for this HPC Engineer role?

Strong candidates have an advanced degree (preferably PhD), 5-10 years of experience, expertise in HPC/AI for CAE, proficiency in specified technical skills like PyTorch and CUDA, strong problem-solving, communication, teamwork, and self-motivation.

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 The platform helps clients overcome limitations of outdated hardware by providing scalable computing resources, enabling faster product development and improved collaboration.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