Design and develop geometry processing algorithms and simulation models, manage datasets, and enhance machine learning workflows for engineering applications.
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
Responsibilities
- Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
- Build services for reading, processing, and writing 2D/3D engineering data.
- Develop rendering modules for generating 2D/3D visual assets.
- Curate and manage large-scale datasets for learning-based systems.
- Implement and optimize post-training workflows for machine learning models.
- Contribute to the development of domain-specific languages for engineering tasks.
What we are looking for
- 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
- BSc or MSc in Computer Science, Engineering, or a related field.
- Proficient in writing clean, modular, and maintainable Python code.
- Experience with dataset creation and data pipeline development.
Bonus Points
- PhD or MS with a focus in Computational Design, Simulation, or AI.
- Experience developing CAD/CAM/CAE software tools.
- Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
- Experience designing or implementing DSLs or compilers.
Top Skills
Cad/Cam/Cae
Machine Learning
Python
Similar Jobs
Information Technology • Cybersecurity
Manage and develop phishing and social engineering training content, analyze threats, collaborate on security outcomes, and translate technical knowledge for nontechnical users.
Top Skills:
CSSHTML
Information Technology • Cybersecurity
As a Staff Platform Engineer, you'll build automated tools for operations, enhance observability in cloud environments, and maintain CI/CD pipelines to support scalable services at Huntress.
Top Skills:
AzureEcsGoKubernetesLinuxPostgresPythonTerraform
Information Technology • Cybersecurity
This role involves leading Detection Engineering and Threat Hunting, managing teams, strategizing with senior leaders, budgeting, and fostering a high-performance culture.
Top Skills:
BudgetingCybersecuritySecurity OperationsThreat Detection
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
