Vellex Computing
Details
Positions: Engineering Intern
Location: Remote or in-person in Berkeley, CA
Innovation Area: Software and Data Analytics
Position Type: TomKat Center-supported
Compensation: $8000
Internship Term: 8 weeks
Vellex Computing is building a computing engine for addressing key challenges in the energy industry. Our technology stack accelerates critical computations, simplifies regulatory processes, and enhances data-driven decision-making for enabling more efficient and sustainable power systems. Our core technical innovation is a neural-inspired hardware accelerator tailored for power systems computations that delivers unprecedented computational performance for energy applications.
Responsibilities
Work with our founding team to develop software and hardware tools to accelerate renewable energy integration with the grid. You’ll take on diverse roles in engineering, leveraging AI/ML models for optimizing renewable energy systems, designing algorithms for site planning and single-line diagram generation, and creating scalable solutions for energy applications. Additionally, you will work on building data pipelines and developing tools for modeling and simulating power systems, ensuring tools and algorithms meet real-world demands.
Join us to drive renewable energy innovation with a tangible impact on sustainability. Work with a passionate, multidisciplinary team shaping the future of clean energy, gaining hands-on experience with cutting-edge technologies in AI, ML, and renewable energy.
Who Should Apply
We are looking for a motivated and passionate engineer to join our mission in reshaping the future of the electric grid. You should be comfortable with uncertainty, able to work independently, and willing to take ownership of mission-critical projects. If you are deeply passionate about sustainable energy and ready to make a significant impact in a short sprint, this is your calling. It’s a plus if you have knowledge of power systems, along with coding expertise and a solid understanding of algorithms. If you thrive in dynamic environments and have a drive to innovate in the energy sector, we encourage you to apply.
Required expertise
Programming experience, algorithms, power and energy systems
Preferred skills/Majors
Background in EE or CS with background or interest in AI/ML/data science