Company Description

VIE Technologies is revolutionizing industrial and utility operations with a fully autonomous and non-invasive predictive solution that minimizes maintenance losses, saves energy, reduces downtime, enhances product quality, and improves plant safety. Headquartered in San Diego, CA, our virtual expert combines cloud artificial intelligence with proprietary sensors to preemptively find hidden failure modes in electrical transformers and industrial machinery. VIE Technologies was founded in 2017 by technology veterans.

Role Description

This is a full-time hybrid role as a Research And Development Engineer at VIE Technologies. The role involves conducting research, testing, product development, and utilizing analytical skills to support the innovation and enhancement of our predictive solution. Essentially you are solving problems that are at intersection of Physics, signal processing, electrical/mechanical engineering and data science. Our strength is to adapt quickly to changing requirements and address varied variety of problems by bringing learning from different fields together. In addition to exploratory work, you will be hands on writing code, testing it with real world data and integrating your solution both on device and the cloud, while collaborating with SW engineers for efficient and scalable implementations.

This is a hybrid job. While we value flexibility, we would prefer a candidate who is able to frequently meet the other team members onsite in San Diego office for brainstorming, white board discussions as and when needed.

Qualifications

• Master’s or PhD in Electrical Engineering or any other related discipline. Background in electro-magnetic modeling and/or machine learning applied to scientific problems is highly desired.
• Skilled in Python for developing advanced algorithms, including machine learning and signal processing. Familiarity with tools like TensorFlow or PyTorch is a plus.
• Knowledge of power grid systems with transformers and switchgears, including operational metrics and fault diagnosis, is highly valued.
• Experience with predictive maintenance, IoT-based sensor systems, condition monitoring systems for mechanical or electrical equipment, or handling large-scale data is a plus.
• Familiarity with applying vibration analysis for fault detection and signal processing is a plus.
• Proven experience working in multidisciplinary teams, collaborating with engineers and experts from various fields to create innovative solutions.
• Comfortable working in a fast-paced, startup-like environment, adapting quickly to new challenges and shifting priorities while staying productive and creative.
• Strong problem-solving skills with the ability to simplify complex technical ideas into clear and practical solutions.
• Excellent communication skills, including presenting research insights and writing technical reports.
• Self-starter and able to drive oneself in fast pace startup environment.