Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.
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
Cae
Cam
Data Processing
Domain-Specific Languages
Geometric Processing
Machine Learning
Optimization
Python
Simulation
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Natural Language Processing • Software
As a Junior Research Enablement Engineer, you will develop tools for the LanguageAI research team, focusing on machine learning tasks. Responsibilities include designing applications, working with data services, conducting research, and enhancing product quality.
Top Skills:
JavaKotlinPython
Financial Services
The IT Operation Engineer focuses on supporting and managing IT operations, ensuring efficient systems, and contributing to research tasks.
Blockchain • Software
Conduct research on scalable, secure blockchain systems; perform feasibility studies; design specifications and proofs of concept; write papers; collaborate with engineering, product, and business teams to advance Layer 2 and related protocols.
Top Skills:
Arbitrum,Prysm,Zerodev,Blockchain,Layer 2 Technologies,Distributed Protocols,Cryptographic Algorithms,Formal Methods,Secure Multi-Party Computation
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
