MOEV AI™ software has been approved as a network provider by SCE’s Charge Ready Program

MARCH 16, 2022

MOEV (https://www.moevinc.com) is delighted to announce that its MOEV AITM software has been approved as a network provider by Southern California Edison’s (SCE’s) Charge Ready Program which supports the deployment of charging stations in SCE’s service area.  If you are a fleet operator of transit buses, school buses, last mile trucks, delivery vehicles or first mile trucks, and are looking to electrify your fleet by applying to SCE’s Charge Ready Program, you can now choose MOEV as your network provider. Find out more information about SCE’s Charge Ready Program at: https://www.sce.com/evbusiness/chargeready  The MOEV AITM software uses AI-based machine learning to manage EV charging and EV operations to reduce the fleet operator’s electric bill, optimize utilization of EVs in the fleet and reduce stress related to range anxiety as fleets transition to electric.  If you have questions about how our software works, please email info@moevinc.com.

We have a software engineer position opening.

Feb 28, 2022

MOEV Inc., a California-based startup with operations in Los Angeles and Silicon Valley, has developed Artificial Intelligence (AI) and Machine Learning (ML) technology for Smart Management of Electric Vehicle Charging Infrastructure with a focus on Fleets. MOEV’s Los Angeles office has a software development position to support the following activities.
Requirements:
  • Must have a BS or MS degree in Computer Science, Data Science, Mathematics, Engineering with software development emphasis, or other related areas. 
  • Must have experience with AI/ machine learning techniques and algorithms, especially in the area of model training, prediction, clustering, deep learning, and neural networks. 
  • Must have extensive experience with machine learning software and tools available in Python such as Sklearn, Tensorflow, Keras, Pytorch, etc. 
  • Must have strong data analytics skills including data cleaning, analysis, statistics, data mining techniques. etc.
  • Must have extensive experience with database and SQL language
  • Must have experience with Linux, AWS, Google Cloud Platforms, etc. 
  • Experience with optimization techniques using classical and AI/machine learning algorithms and software development is a plus. 
  • Familiarity with web technologies, html/php, javascripts, etc. is a plus. 
  • Experience with Mobile App (both iOS and Android) development is a plus.
To apply for this position, please email their resume and to info@moevinc.com 

MOEV welcomes Dr. Rohit Chandra to its advisory board

FEB 2, 2022

MOEV Inc. welcomes Dr. Rohit Chandra to its advisory board

MOEV welcomes its advisory board member Dr. Rohit Chandra, who has been Senior Vice President at Verizon Media, Vice President at Yahoo, Vice President of Engineering at Sunshine, and is now joining as Chief Digital Officer of Cleveland Clinic.  Dr. Chandra received his doctorate degree in Computer Science from Stanford University and his undergraduate degree in Computer Science from Indian Institute of Technology (IIT) Kanpur.  He will be guiding us on our technology and engineering efforts.

 

MOEV, Gardena Transit to Enable Electrification of Fleets – Metro Magazine

OCT 22, 2021

MOEV, Gardena Transit to Enable Electrification of Fleets

Artificial Intelligence software will manage battery electric bus power

MOEV is implementing a system that automatically manages the recharging of battery electric buses at the City of Gardena’s GTrans to minimize the electric bill, improve operational efficiency, reduce operator and driver stress, and extend the buses’ battery life. 

 

The system is backed by a $3.3 million grant from the California Energy Commission (CEC).

Additionally, the system will maximize the use of energy from solar panels at the transit agency and helps improve grid resilience.

 

“GTrans is excited to work with MOEV as we plan to convert our entire 58-bus fleet to zero-emission buses by 2035,” said Ernie Crespo, MOEV’s partner and GTrans’ director of transportation. “We look forward to integrating this smart technology into our system and are thankful for this investment by the CEC.”

Read more at: https://www.metro-magazine.com/10154434/moev-gardena-transit-enable-electrification-of-fleets

 

MOEV and Gardena Transit Are Enabling Electrification of Fleets – Newswire

PRESS RELEASE  OCT 20, 2021 19:48 EDT by NEWSWIRE 

MOEV and Gardena Transit Are Enabling Electrification of Fleets

 

Artificial Intelligence software will manage battery electric bus power

Backed by a $3.3 million grant from the California Energy Commission (CEC), the software startup MOEV (pronounced “move”) is implementing a system that automatically manages the recharging of battery electric buses at the City of Gardena’s GTrans to minimize the electric bill, improve operational efficiency, reduce operator and driver stress, and extend the buses’ battery life.

Read more at: https://www.newswire.com/news/moev-and-gardena-transit-are-enabling-electrification-of-fleets-21532648 

 

MOEV Seeks Three Software Engineers

MOEV Inc. is a California-based startup with operations in Los Angeles and Silicon Valley that has developed AI and Machine Learning Technology for Smart Management of Electric Vehicle Charging Infrastructure with a focus on Fleets. MOEV’s Los Angeles office has job openings to support these activities. 

MOEV is the future. A team of UCLA engineers and business management professionals behind MOEV have developed a startup company that is innovating the future of sustainable zero emissions transportation. 

MOEV’s technology has been installed on both coasts of the U.S. and is rapidly expanding nationwide. Working for MOEV is an opportunity to make a large scale impact on the environment by helping to develop and improve EV technology and meet the needs of its customers. We are targeting last mile van fleets (Amazon, UPS, FedEx, etc.) and transit municipal bus fleets (endorsed by the department of transportation in the New Green Deal). Restricted stock units are offered with these positions.

Interested candidates should apply through this link:  https://forms.gle/rjefd8zFys1oq3fz7 

Position 1 – AI/ machine learning for prediction and planning

Requirements:

  • AI/ machine learning techniques, algorithms, and software development Python programming language
  • Experience with machine learning software tools available in Python

Position 2 – Optimization via data science and numerical techniques including AI/Machine Learning

Requirements:

  • Optimization techniques using classical and AI/machine learning Algorithms and software development Python programming language
  • Experience with software tools available in Python

Position 3 – Android and iPhone app development

  • Android dev – Programming experience in Android phone app dev, knowledge of background tasks, web service, push notification, Xamarin Forms, or Xamarin Android
  • IOS dev – Programming experience in IOS phone app dev, knowledge of background tasks, web service, push notification, Xamarin Forms or Xamarin, Android, Cobject, C++ or other OOP.

Paul Glenney joins MOEV Advisory Board

MOEV is pleased to announce that Paul Glenney has joined our Advisory Board

Paul was the CEO of Hubject Inc. for over three years, the North American division of the most widely adopted interoperability and Plug&Charge software ecosystems for electric vehicle charging networks in the world. As an early participant in the electric vehicle industry, Glenney has been at the forefront of electric vehicles since the launch of Nissan LEAF and the BMW ActiveE.  Playing key roles at Faraday Future, NRG EVgo and AeroVironment, Glenney has led teams and projects focused on providing charging infrastructure and supporting programs needed for electric vehicle adoption resulting in well over 1,000 L2 and DCFC installations in North America.  Combined with Glenney’s experience in renewable energy technologies such as solar, wave, tidal and small wind, as well as micro-grids and energy storage, Glenney has a deep understanding of the relationship between eMobility, DERs, utilities and government.