About Us:
Tula is driven by an overriding passion to increase efficiency and improve the environment. With more than 340 patents issued or pending for multiple technologies, and a combined 450 years of engineering behind those patents, we’re focused primarily on applications for passenger automobiles, commercial vehicles for on and off road and electric vehicles of any size. Our approach to improving efficiency sets us apart. We come at it with demonstrated software solutions, and we deliver proven results with more than one million vehicles on the road using our technologies to decrease greenhouse gas emissions and increase fuel savings. But we’re not stopping there. We’re working to reduce or eliminate the use of rare earth elements in electric vehicles through improved electric motor efficiency and exploring efficiency in other means of mobility, too, including robotics, e-aviation and industrial machinery. Tula drives efficiency.
In this role your primary responsibility will be to develop high-performance control for electric motor systems including motor-generators, power inverters, and energy storage systems, and create, maintain, and effectively use simulation and embeddable models of these systems for performance evaluation. You will be expected to derive high integrity plant and control models validating these through simulation and testing. This may involve auto-coding from the derived control simulation, hand coding and coding of the hardware abstraction layer. You are expected to be comfortable in an initially high uncertainty design environment which progressively removes uncertainties and builds toward releasable products that meet customer needs. We will require strong team membership skills, and the ability to lead and support multiple simultaneous projects related to Tula’s advanced control products implementing next-generation vehicle efficiency.
Responsibilities
Skills and Experience
Bonus Points
Salary Range: $132,000 – 195,000 + benefits and stock options (actual compensation will be determined based on experience level).
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