• Work with various cross-functional teams to develop requirements for new BMS features, diagnostics, algorithms, etc.
• Design, implement and test cutting-edge algorithms for run-time BMS logic to derive State-of-Charge, State-of-Health, State-of-Power and State-of-Energy computations
• Develop Software-in-the-Loop infrastructure in an object-oriented fashion, making high degree of re-use of existing objects and objects that are highly reusable
• Develop and enhance existing battery models to ensure Real vs. Simulation accuracy
• Design rapid test iteration framework for developers to use for quick, at-desk spot checks
• Develop "real world" playback mechanism for field data, integrating with existing Tesla data systems
• Develop behavior models for various subcomponents of the vehicle, complete with fault insertion capability engineered in
• Develop complex battery aging model(s) which accurately reflect true cell aging patterns

• Bachelor's Degree in Electrical Engineering, Computer Science, Computer Engineering, practical Software Engineering experience or proof of exceptional skills in related fields, or equivalent
• Minimum 2 years of relevant experience (firmware engineer, embedded design and/or validation) or has demonstrated exceptional abilities in shorter time
• Expertise testing devices and debugging hardware (oscilloscope, logic analyzer, DMM)
• Desire to participate in improving code robustness and designing testing infrastructure
• Ability to think creatively and produce "outside of the box" solutions
• Proficiency in C and C and scripting skills in at least one common language (Python, Perl, Shell)
• Preferred: CANalyzer / CANape experience
• Preferred: Experience in schematic design & capture (Altium Designer)
• Preferred: Experience with FPGA or HDL (Verilog, VHDL)
• Preferred: Background with Simulink and modeling embedded designs

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

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