Software Analytics & Diagnostics Engineer, Chassis Systems

The Chassis Systems Software team is looking for a software integration engineer who will gather and analyze fleet vehicle data to help identify potential issues or opportunities for improvement in the fleet and ensure software robustness in the real-world.
Using knowledge of the software, customer behaviors, and real-world fleet exposure, you will identify failure modes with precision and urgency, develop fleet data-driven requirements for diagnostics and prognostics, and inform system design decisions. You will collaborate cross-organizationally with software, mechanical, and electrical teams to define the confidence metrics and rollout strategy for new safety-critical algorithms. You will develop dashboards to visualize fleet data trends and ensure cross-organizational alignment on behaviors and critical metrics.
Come join a multi-disciplinary team of exceptional, motivated engineers to build out the future of automotive diagnostics and fleet analytics that is uniquely the Tesla advantage and is at the bleeding edge of the industry.

Responsibilities

• Analyze vehicle data and extract useful statistics and insights to drive actionable updates to the software, product performance, quality, and customer experience

• Write efficient SQL/Python code and complex queries across extensive data sets

• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports

• Work with the software developers to implement additional diagnostics, alerts, or software changes.

• Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework

Requirements

• Bachelor's Degree in Mechanical Engineering, Computer Science, Math, Statistics or related field, or equivalent experience
• Prior internship/work experience in data analytics or related field
• Demonstrable engineering fundamentals in vehicle chassis systems or automotive physics.
• Proven proficiency in SQL and Python for writing efficient queries, data manipulation, and analysis
• Working knowledge of data visualization techniques and tools using Matplotlib, Seaborn, etc.
• Experience working with time-series sensors data to perform robust engineering analyses
• Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset

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

$111,200 - $433,680/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.