Full-Time
Simulation Engineer
AI & Data
Rescale
201-500 employees
Cloud-based HPC platform for simulations
Compensation Overview
$118k - $174k/yr
Remote in USA
Remote
 AI & Machine Learning (2) |
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- Advanced degree in Machine Learning, Computer Science, Aerospace Engineering, or a related field (preferably a PhD)
- 5-10 years of industry experience
- Strong problem-solving skills and self-motivation
- Software development experience
- Expertise in Simulation and applying AI technology to Computer-Aided Engineering workflows
- Proficiency in PyTorch, Modulus, PyG, Computer-Aided Engineering/Computational Fluid Dynamics/Finite Element Analysis, REST API development, CUDA, Kubernetes, and more
- Excellent communication and teamwork skills
- Ability to work independently and manage multiple tasks effectively
- Passion for continuous learning and professional development
- Become an expert in the Rescale platform and its application to customer workflows
- Solve complex Simulation AI problems for customers on our platform
- Integrate cutting-edge AI technologies into CAE workflows
- Collaborate with a dynamic and agile development team
- Engage directly with customers to understand their needs and provide tailored solutions
- Contribute to the development and enhancement of our AI software products
- Stay updated with the latest advancements in Simulation and AI technologies
- Participate in code reviews and provide constructive feedback to peers
Rescale provides a cloud-based platform for high-performance computing that lets engineers and scientists run large simulations without managing on-premises infrastructure. It operates as HPC-as-a-service on a hybrid cloud, automating workload orchestration and supporting more than 1,000 software applications. Rescale differentiates itself through multi-cloud partnerships (AWS, Azure, Google Cloud, Oracle Cloud), its founders’ engineering background, and a broad customer base across aerospace, automotive, life sciences, energy, semiconductors, and government. Its goal is to speed up innovation by making supercomputing capabilities accessible to organizations of all sizes for faster design, testing, and digital R&D.
Company Size
201-500
Company Stage
Series D
Total Funding
$267.5M
Headquarters
San Francisco, California
Founded
2011
Simplify's Take
What believers are saying
- NVIDIA partnership grants access to 10,000 GPUs in European Industrial AI Cloud, enabling 10x performance gains and 30x cost reductions.
- McLaren deployment demonstrates 3x productivity gains and real-time design optimization, validating enterprise adoption of agentic AI capabilities.
- Series D funding from NVIDIA, Applied Materials, and Foxconn signals semiconductor and manufacturing sector confidence in platform scalability.
What critics are saying
- CoreWeave undercuts Rescale margins with 50% lower GPU pricing through direct NVIDIA capacity deals, eroding orchestration service revenue.
- NVIDIA DGX Cloud commoditizes workload orchestration by bundling CUDA-X AI physics libraries, bypassing Rescale's platform entirely.
- EU data sovereignty mandates force CAE Hub customers to migrate to local providers like OVHcloud, slashing European revenue by 40%.
What makes Rescale unique
- Agentic AI platform automates complex engineering workflows, enabling McLaren to evaluate thousands of design iterations within hours.
- Proprietary engineering knowledge graphs capture institutional design insights, creating defensible competitive advantages through customer data accumulation.
- Multi-cloud orchestration across AWS, Azure, Google Cloud, and Oracle eliminates vendor lock-in while optimizing workload placement and costs.
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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.
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%McLaren Automotive deploys agentic AI in engineering development. By Web Team March 30, 2026 2 Mins Read McLaren Automotive has deployed an end-to-end agentic artificial intelligence (AI) platform across its engineering lifecycle, in partnership with Rescale and Nvidia. Rescale's digital engineering platform, powered by an Nvidia infrastructure, creates a unified environment that connects McLaren's computer-aided engineering (CAE), systems engineering and design into a single AI 'data fabric'. The platform is trained exclusively on McLaren data and continuously learns and optimises, while adhering to the company's quality standards and performance characteristics. Nick Collins, CEO of McLaren Automotive, said of the move, "By continuously compounding and optimising our data, our intelligence and our engineering philosophies at unimaginable speed, we can deliver product developments at pace, while protecting the DNA of our company." AI-driven physics simulation reduces test cycle times, with each test feeding new data back into the system to improve surrogate models and agents' understanding of physical behaviour. McLaren says that engineers can use the systems to evaluate thousands of design iterations within hours across multiple physics and engineering domains, enabling more rapid optimisation compared with traditional computational modelling. Machine learning models enable instant performance prediction for manufacturing processes, including the production of high-performance carbon fibre structures and components. According to Rescale, the platform's agentic engineering capabilities automate complex repetitive tasks, which can increase the productivity of McLaren's experts three-fold. Rescale's platform also builds engineering knowledge graphs that capture insights from previous work, which in turn power agentic workflows and accelerate product development decisions. Joris Poort, founder and CEO of Rescale, said, "Our foundational platform allows McLaren to leverage the latest agentic engineering technologies powered by Nvidia AI infrastructure, providing a compounding source of competitive advantage for engineers in critical areas of product development, such as carbon materials, structural dynamics, durability, and ultimately the programmatic scaling of engineering excellence across every discipline." Tim Costa, vice president and general manager of computational engineering at Nvidia, added, "The future of automotive engineering is being rewritten by agentic AI and advanced simulation, turning decades of design heritage into a live, generative engine that accelerates every stage of the vehicle lifecycle."
Rescale's CAE Hub Will Provide European Engineers and Scientists with Leading-Edge Computing Resources for Digital Simulation and Industrial AISAN FRANCISCO, June 16, 2025 /PRNewswire/ -- Rescale, a digital engineering platform built for industrial AI, accelerated product development, and scientific discovery, announced that it will integrate the Rescale CAE Hub to NVIDIA's new industrial AI cloud. This collaboration gives European engineers access to an open ecosystem of simulation and AI applications at massive scale, leveraging 10,000 GPUs spanning NVIDIA DGX B200 and NVIDIA RTX PRO Servers, to accelerate manufacturing R&D and product development.The CAE Hub brings Rescale's comprehensive application catalog, workflow orchestration, AI Physics, and secure data management together with NVIDIA's NVIDIA CUDA-X libraries, NVIDIA DGX B200, NVIDIA RTX, and NVIDIA Omniverse platforms. This powerful combination of cutting-edge hardware and software enables engineers to build and scale industrial AI and high-performance computing (HPC) workloads, while meeting EU requirements for data sovereignty and compliance.Leading European innovators across industries such as automotive, energy, and advanced manufacturing use Rescale to accelerate product development, optimize simulation workflows, and leverage AI to tackle the most complex engineering challenges. Organizations are improving their operational efficiency and collaboration across their value chains with on-demand access to GPU-accelerated tools empowering digital engineering platform capabilities. This collaboration with NVIDIA ensures these technologies are delivered with the scale, speed, and data compliance necessary for European organizations to accelerate AI development and build the future of industrial AI.By orchestrating GPU acceleration, advanced AI methods, and automated data workflows, Rescale's CAE Hub enables faster, more sustainable innovation across industrial sectors. Powered by NVIDIA's latest GPU architectures, companies are achieving up to 10x performance gains and 30x cost reductions in engineering workloads to meet ambitious efficiency goals
Rescale announced a $115 million Series D funding round, bringing total funding to over $260 million. The investment will accelerate the development of Rescale's digital engineering platform, which integrates advanced computing, intelligent data, and applied AI. The platform aims to remove bottlenecks in compute, data, and AI deployment, empowering engineers and scientists to innovate faster. Key investors include NVIDIA, Y Combinator, and others.
NEC's Corporate Venture Capital fund, NEC Orchestrating Future Fund (NOFF), has invested in Rescale, Inc., a San Francisco-based startup offering pay-as-you-go cloud services for high-performance computing (HPC). Rescale addresses the challenge of efficiently utilizing computational resources by providing cloud-based HPC services, allowing users to access necessary computing resources and software environments on demand. NEC aims to integrate Rescale's services into its HPC solutions and explore hybrid service offerings.
NEC Orchestrating Future Fund has invested in Rescale, Inc., a San Francisco-based provider of a cloud high-performance computing (HPC) platform. This investment aims to enhance NEC's computing solutions by integrating Rescale's cloud services, offering hybrid on-premises and cloud options. Rescale's platform supports flexible HPC environments, intelligent data management, and applied AI, aligning with NEC's vision of creating sustainable societies. Financial details of the investment were not disclosed.