acceler8 talentSomerville, MA
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence Engineer
acceler8 talentSomerville, MA
today
Research and Development in the Physical, Engineering, and Life SciencesEngineering ServicesAll Other Professional, Scientific, and Technical Services
Apply for this role (opens in a new tab)Member of Technical Staff — Applied AI & Physics
What if your next role let you combineAI, physics and simulationto solve some of the hardest engineering challenges facing the next generation of AI infrastructure?
Our client:
an exceptionally well-funded AI research startup — is hiring aMember of Technical Staff, Applied AI(Cambridge, MA — Hybrid).They’re building anAI-native physics laboratory, combining machine learning, scientific simulation and first-principles modelling to tackle real-world physical challenges, starting with the power and cooling constraints of AI data centres.
The role:
- Build simulations, digital twins and surrogate models of complex physical systems
- Combine physics-based solvers with neural networks and machine learning approaches
- Develop AI-driven models to optimise engineering systems and infrastructure
- Validate simulations against real-world measurements, physical constraints and experimental data
- Work across scientific computing, applied ML and engineering research
- Own technical projects end-to-end, from initial research through to real-world deployment$58M seed funding led by a leading climate and deep-tech investor
- Work alongside world-class researchers and engineers fromNVIDIA, Google, MIT, Harvard and Carnegie MellonSolve complex problems at the intersection ofAI, physics, simulation and scientific machine learning
- Join a highly technical team of just27 people, with significant ownership from day one
- Help build an AI-native physics research platform with ambitions extending beyond data-centre optimisation
- Work directly with experienced scientific and technical leadership in a high-ownership research environment
- Cambridge, Massachusetts — Hybrid (3 days onsite)
We’re looking for engineers or researchers with strong backgrounds in physics, mechanical engineering, scientific computing or related disciplines.
Experience building physical simulations or digital twins is particularly valuable. Deep expertise in scientific ML isn’t essential if you have strong physical-domain knowledge and practical AI experience.
Also on the board Same function, level within a rung
Level
Lead
Location
Somerville, MA
Occupation
Physicists
Industry
Research and Development in the Physical, Engineering, and Life Sciences
Posted
today