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About Montauk Capital
Montauk Capital is an investment management platform that spans venture investing and venture studio efforts that builds and invests in capital in category leading companies. We focus on backing tech companies in the ‘Electron Economy,’ the massive shift toward software-enabled industrial and energy systems. This generational transition is reshaping how we power intelligence, move people and goods, and build resilient industries. From AI, data centers and Web3 to industrial robotics and re-shoring supply chains, the future of growth is built on electrification and the intelligent use of energy.
About Stealth Grid Co
Stealth Grid Co is an emerging venture currently in development through Montauk Capital studio, targeting one of the most pressing bottlenecks in energy: grid interconnection delays. As utilities modernize the grid and address interconnection queue bottlenecks, maintaining system stability has become increasingly complex. Grid planners and operators face a convergence of stressors from the adoption of inverter-based, variable renewable generation and the emergence of large, fast-acting point loads, such as hyperscale data centers, that introduce new forms of system planning and operational risk. The growing presence of concentrated, voltage- sensitive loads raises specific challenges to grid network stability, further increasing the cost and timelines to interconnect these large scale dynamic loads to the grid in a way that mitigates these risks, and heightening the need to optimize the engineering, modeling and studies of these interconnections.
Stealth Grid Co proprietary platform and turnkey solution enable faster, lower-cost grid connections for large dynamic loads, including data centers, hyperscalers, renewable generation, and large industrial loads. We are seeking a highly skilled AI / ML Engineer to design, build, and deploy intelligent systems that power our grid analytics and interconnection optimization platform. You will be responsible for developing models that blend physics-based simulations with modern machine learning, enabling faster, more accurate predictions for grid stability, interconnection feasibility, and control behavior.
Key Responsibilities
- Develop and deploy ML models for grid dynamics, stability assessment, and system optimization.
- Integrate data from simulations, sensors, and grid operators to train and validate predictive models.
- Implement hybrid AI frameworks that combine data-driven and physics-informed approaches.
- Collaborate with power systems engineers to translate complex grid behaviors into machine learning features.
- Build scalable data pipelines and ML infrastructure to support real-time analysis.
- Work closely with software engineers to integrate AI models into the core platform.
- Experiment with advanced architectures (e.g., graph neural networks, reinforcement learning) for control and optimization.
- 5+ years of experience in AI / ML, preferably with applications in energy systems, control, or simulation.
- Strong background in applied machine learning, including model development, training, and deployment.
- Expertise with frameworks such as PyTorch, TensorFlow, or JAX.
- Experience with time-series forecasting, anomaly detection, or optimization models.
- Knowledge of power systems, physics-informed ML, or numerical modeling is a strong plus.
- Proficiency in Python and familiarity with distributed computing or cloud ML environments.
- Ability to collaborate with multidisciplinary teams across AI, power engineering, and software.
- Partner with the engineering team to integrate models into the product, support the MVP and beyond
- Aligned Incentives – Competitive compensation and equity so you share directly in the value we create.
- Flexibility with Connection – A remote schedule with quarterly team offsites.
- Direct Impact & Visibility – A collaborative culture where your ideas matter and your contributions have immediate, visible impact across the firm.
- Growth with the Firm – As we scale, so will your role.
- Mission-Driven Team – We’re solving real world problems as a team and are building this together.
Key Skills
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