Rescale Logo

Rescale

Simulation Engineer, AI/ML Development

Posted One Month Ago
Remote
Hiring Remotely in United States
118K-174K Annually
Mid level
Remote
Hiring Remotely in United States
118K-174K Annually
Mid level
Develop and support Rescale's HPC platform, integrate AI into CAE workflows, solve customer HPC/AI problems, build AI software, collaborate with engineering teams, and engage directly with customers.
The summary above was generated by AI

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 here.

Similar Jobs

14 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
158K-225K Annually
Senior level
158K-225K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Build and operate production LLM-powered agents and machine learning systems for customer risk identification and threat detection. Translate security heuristics into agent logic, collaborate with threat researchers, develop data requirements and pipelines, evaluate precision and recall, and deploy solutions through CI/CD. The role also requires production reliability ownership, observability, incident debugging, cloud infrastructure expertise, and senior staff-level technical leadership.
Top Skills: AthenaAWSCi/CdDockerElasticsearchLangchainLanggraphLlm AgentsNumpyOpensearchPandasPolarsPrestoPythonSQL
14 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
116K-165K Annually
Senior level
116K-165K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Develop production LLM-powered agents and machine learning solutions for customer risk identification and threat detection. Translate threat-research methods into agent logic, build data requirements and pipelines, evaluate precision and recall, backtest and tune models, and deploy and monitor reliable solutions using CI/CD. Collaborate with threat researchers and data engineers while addressing production reliability, observability, data quality, cost, latency, and accuracy.
Top Skills: AthenaAWSCi/CdContainerizationElasticsearchInfrastructure As CodeLangchainLanggraphLlmsMachine LearningNumpyOpensearchPandasPolarsPrestoPythonSQL
21 Minutes Ago
Remote or Hybrid
105K-173K Annually
Senior level
105K-173K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns and operates a scaled digital customer success program for mid-market SaaS customers from onboarding through renewal. Designs lifecycle campaigns, adoption plays, automated risk interventions, segmentation, health scores, and customer journeys. Partners with CSMs, Product, Marketing, and CS Operations to improve adoption, retention, customer health, and revenue outcomes. Builds dashboards, analyzes customer behavior, leverages AI and automation, and translates insights into scalable customer engagement actions.
Top Skills: AIAutomationCrm SystemsCustomer Success PlatformsMarketing Automation ToolsSaaS

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account