Firmware Validation Engineer, Supercharger, Semi

The Supercharger Team is responsible for Tesla's public fast charging products. As an engineer on this team, you will be responsible for testing our EV charger features to ensure the quality and safety of the charging experience for both Tesla owners and third party EVs. You will architect, design, and implement firmware validation procedures, equipment, tooling, and automation to efficiently test charging components and subsystems. You will work closely with development and integration teams to explore and validate the performance capabilities of our hardware and firmware to ensure code quality is high. Your effort to create and equip automated validation infrastructures and coverage reporting will have a direct impact on the reliability, robustness, and value of our products. Your impact will help the world's acceleration to energy sustainability.

Responsibilities

• Design advanced automated test suites for the Hardware/Processor/Software-in-the-loop (HIL/PIL/SIL)
• Architect methods of integrating the automated test suites into development processes
• Create reporting mechanisms for automated testing for firmware and hardware
• Work alongside the development and integration teams to create automated regression tests
• Assist in creating unit tests
• Explore and innovate methods of testing the robustness and quality of the charging firmware
• Understand and deconstruct complicated software systems and devise strategies to test these systems
• Create and execute test plans designed to expose weakness or faults in components
• Report the coverage of the automated tests and the metrics that the code is being evaluated against
• Cohesively work with developers to optimize the acceleration of component validation with the use of metric driven data

Requirements

• Degree in Electrical Engineering, Computer Science, Computer Engineering or the equivalent in experience with evidence of exceptional ability
• Proficiency in Python, C, C
• 2 years of relevant experience in embedded design/validation
• Expertise testing devices and debugging hardware (oscilloscope, logic analyzer, DMM)
• Desire to participate in improving code robustness and designing testing infrastructure
• Experience in electronic and system schematic design & capture (Altium Designer) preferred
• Experience with Docker preferred
• Experience designing or interfacing with test setups preferred
• Knowledge of source control (Git) and continuous integration (Jenkins) preferred
• Knowledge of EVSE, EVs preferred

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D, short-term and long-term disability insurance
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program
Expected Compensation

$133,440 - $200,160/annual salary cash and stock awards benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.