Software Engineer, Backend, SI Tooling

About the role

• Software Engineer, Backend, SI Tooling | Tesla (Tesla SI)
• Location: Palo Alto, California | Req ID: 263475 | Job Type: Full-time
• What to Expect

As a member of the Autopilot SI Tooling team you will design and implement a diverse set of tools that power our machine learning workflows. You will work closely with some of the best, world-class SI researchers and machine learning experts towards Tesla’s goal of a self-driving future. The SI Tooling team is a central part of Autopilot SI.

The systems you build will have a large impact on the entire lifecycle of model development. This includes data processing, data discovery, annotation, and visualization. This also includes tools that help us automate the entire workflows of training, validation, and productionization of our Autopilot neural networks.

As an Engineer on the SI Tooling team, you bring top-notch software engineering skills and can contribute to our tooling systems immediately. Knowledge of machine learning, computer vision, or neural networks is a plus but not required. That can be learned on the job as you work with our machine learning experts. A strong candidate for the SI Tooling team will either be an excellent software generalist, or someone who is exceptionally strong in either backend or frontend engineering.

What You'll Do

• Design and implement large-scale data processing pipelines that handle a diverse set of Autopilot related data such as images, sensor inputs, and human labels
• Design and implement tools, tests, metrics, and dashboards to accelerate the development cycle of our model training
• Work closely with frontend engineers to seamlessly integrate with backend systems
• Work closely with SI researchers to support evolving research projects and implement new production features

What You'll Bring

• Strong knowledge of at least one programming language related to data engineering, such as Python or Scala is required
• Experience with scientific computing libraries such as numpy, pandas, or scikit-learn is a plus
• Experience with big data systems such as Spark, Hadoop/MapReduce is a plus
• Experience with cloud computing such AWS EC2/S3/RDS is a plus
• Experience with ElasticSearch or other scalable search systems is a plus
• Experience with real-time data processing is a plus
• Knowledge of machine learning, computer vision, or neural networks is a plus but not required
• Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability

Benefits

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

• Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
• Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Expected Compensation$140,000 - $300,000/annual salary + cash and stock awards + benefitsPay 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.