Applied AI Scientist

Posted 3 Days Ago
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Hiring Remotely in New York, NY
Remote
Senior level
Energy • Renewable Energy
The Role
Develop and implement AI solutions for optimization in supply chain and project engineering, focusing on automation and real-time decision-making.
Summary Generated by Built In

Job Description:

Applied AI Scientist to develop and deploy cutting-edge AI solutions to enhance the effectiveness and scalability of critical supply chain and project engineering processes. Collaborate with cross-functional teams to identify bottlenecks, transform multi people and multi department business processes and engineering challenges into automation opportunities, and deliver high-impact solutions. Design mathematical optimization models and implement AI tools to achieve real-time decision-making in dynamic logistics scenarios while reducing costs, ensuring compliance with complex constraints, and increasing efficiency. Focus on rapid prototyping, stakeholder feedback integration, and scalable AI implementation, taking full ownership of the AI development lifecycle – from defining objectives/challenges, selecting frameworks, building models and data schemas, evaluating performance, and deploying production-ready solutions.

Responsibilities:

  • Develop and implement AI algorithms to optimize multimodal supplier allocations, improving scalability and minimizing landed costs.
  • Design and deploy optimization models to ensure compliance with supplier commitments, capacity constraints, sourcing policies, and delivery requirements.
  • Collaborate with cross-functional teams to translate complex business/engineering needs into technical solutions and improve logistics/engineering workflows.
  • Build an application with user interface to enable scenario simulations and rapid allocation adjustments in response to real-time supply chain fluctuations.
  • Develop LLM-based tools to extract and interpret requirements from engineering documents and validate NCU plans and mapping files, reducing errors and time spent on reworks due to quality issues.
  • Prototype software to analyze site/stow CAD drawing files and automate parameter assignment for NCUs/SPCs, wind/flood/GHI sensors, and channels while respecting configuration restrictions.

Qualifications:

  • Ph.D in engineering related field
  • 5+ years professional and research related projects

At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services.

For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations.

Nextracker is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Culture is our Passion

Top Skills

AI
Automation
Cad
Llm Tools
Mathematical Optimization
Software Prototyping
User Interface Design
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The Company
Fremont, CA
1,107 Employees
On-site Workplace

What We Do

Since day one, Nextracker’s mission has been to transition the world to affordable, renewable power, by developing the highest-performing and resilient solar tracking technologies and software in the market for our customers.
From sustainable tracker solutions that conform to uneven terrain and withstand extreme weather, Nextracker systems have resilience built in. Nextracker leads the solar industry with solar tracker technologies that optimize and increase energy production while reducing costs for significant plant ROI

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