Job description

Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management, and the integration of the world’s largest network of engineering and R&D applications. Joining Rescale means becoming part of a diverse, collaborative, and mission-driven team that’s unlocking faster innovation across industries like aerospace, energy, life sciences, and manufacturing. We’re solving complex challenges that traditional HPC can’t—and we’re seeking passionate, curious minds to help build the next wave of breakthroughs. We are seeking a highly motivated and experienced HPC Engineer, AI and Data to join our team. At Rescale, this means you will work on and impact: - Become an expert in the Rescale platform and its application to customer workflows. - Solve complex HPC 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 HPC and AI technologies. - Participate in code reviews and provide constructive feedback to peers. What we’re looking for: - Advanced degree in Machine Learning, Computer Science, Aerospace Engineering, or a related field (preferably a PhD). - 3+ years of industry experience. - Strong problem-solving skills and self-motivation. - Software development experience - Expertise in HPC and applying AI technology to CAE workflows. - Proficiency in key skills: PyTorch, Modulus, PyG, CAE/CFD/FEA, 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. Rescale is an equal opportunities employer and welcomes applications from all qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. As part of our standard hiring process for new employees, employment with Rescale will be contingent upon successful completion of a comprehensive background check. Here at Rescale, we are committed to being transparent in our policies around candidate privacy. For more details on the information Rescale collects in your application, please view the Rescale Applicant Privacy Policy rescale.com here.

Requirements

Must-haves

We are seeking a highly motivated and experienced HPC Engineer, AI and Data to join our team.
At Rescale, this means you will work on and impact:
Become an expert in the Rescale platform and its application to customer workflows.
Solve complex HPC 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 HPC and AI technologies.
Participate in code reviews and provide constructive feedback to peers.
Advanced degree in Machine Learning, Computer Science, Aerospace Engineering, or a related field (preferably a PhD).
3+ years of industry experience.
Strong problem-solving skills and self-motivation.
Software development experience
Expertise in HPC and applying AI technology to CAE workflows.
Proficiency in key skills: PyTorch, Modulus, PyG, CAE/CFD/FEA, 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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilemachine learningrestapikubernetes

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Professional Development