Tesla Expands Workforce to Launch In-House Production of Optimus Robots

Electric vehicle giant Tesla Inc. is expanding its workforce by hiring several engineers and manufacturing technicians to ramp up production of its humanoid robot, nicknamed Optimus. The company is looking to fill various positions, including production manager, manufacturing quality technician, and manufacturing engineer, mostly based in California.

Job Openings and Responsibilities

The process engineer position job listing requires the hired individual to:

  • Identify and resolve key constraints to full-scale production
  • Lead cross-functional implementation of complex assembly processes to production

As stated by Karissa Thein, Senior Sourcer at Tesla, “My team is turning Tesla Bot into a reality! We’re building Tesla Bot in our Fremont Factory in California and we’re looking for engineers up for the challenge of getting this product ramped up for high volume production.”

Production Plans and Goals

Elon Musk, Tesla CEO, announced that the company intends to produce several thousand units of its Optimus humanoid robot this year. These robots will be deployed in the Tesla factory and will inform the production of the next version of the robot, slated for launch next year. The company plans to sell the next version of the robot to rival companies.

Price and Revenue Projections

Musk stated that the production cost of the Optimus robot will be below $20,000 once production reaches a million units per year. The price of the robot will be determined by market demand, and Musk expects demand to be high due to the multiple use cases of the product. He also projected that Optimus has the potential to generate revenue of over $10 trillion in the long term.

Conclusion

Tesla’s expansion of its workforce and production plans for the Optimus robot mark a significant step towards the company’s goal of launching a humanoid robot. With its potential for high revenue and multiple use cases, the Optimus robot is an exciting development in the field of electric vehicles and artificial intelligence.