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Posted by Tesla on 07/13/2020 in Automotive
Senior Solar Product Engineer

Senior Solar Product Engineer

Company:

Tesla


Location:

Palo Alto, CA, USA


Job Post Date:

07/13/2020


Employment Type:

Full-Time


Level:

Senior-level


Industry:

Automotive


Job Function:

Engineering



Description:

The Role

Tesla is committed to making our photovoltaic systems the most reliable on the market.  To accomplish this, we must be diligent in gathering and analyzing performance data from our solar fleet. The Tesla Solar Service Engineering team is looking to hire a product engineer to improve data integrity across our fleet, develop faster methods of diagnosing of system faults, and ensure our systems produce the energy we committed to our customers. You will be leading these efforts to monitor, analyze, and model fleet data to ensure our customers continue to be delighted with our product.

Responsibilities

  • Lead efforts to improve end-to-end data quality for solar sites, starting with the data captured by our site-level monitoring systems and ending with the data stored on Tesla’s servers
  • Build paretos of system failures, based on a combination of on-site telemetry, customer feedback, and third party data
  • Automate scripts to identify correctable sources of underperformance, including installation errors and failure of components / sub-systems
  • Identify opportunities to improve the accuracy of our production models, for both standard flat-plate installs as well as our proprietary Solar Roof

Requirements

  • Prior experience with product development, reliability engineering, failure analysis, systems test engineering, product quality, or service engineering
  • BS in Electrical, Chemical, Materials, Mechanical Engineering or proof of exceptional skills in related fields
  • Minimum 2+ years of experience writing and deploying Python code for large scale data analysis
  • Minimum 1+ year of hands-on experience using SQL or equivalent to query large data sets
  • Minimum +1 year experience with time series analysis and machine learning using CNNs and RNNs.  Experience with machine learning frameworks such as TensorFlow, PyTorch or scikit-learn
  • Excellent oral, written communication and collaborative skills

Some travel to customer or test installations will be required, and is expected to comprise up to 15% of your time in this role.

Visit Tesla's website for more information about this position.



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Palo Alto, CA, USA

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