Software Engineer, Backend, AI Tooling
Tesla
Job Overview
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Job Description
Software Engineer, Backend, AI Tooling at Tesla
As a member of the Autopilot AI 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 AI researchers and machine learning experts towards Tesla’s goal of a self-driving future.
The AI Tooling team is a central part of Autopilot AI. 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 AI 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 AI 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 AI 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
Key skills/competency
- Backend Engineering
- Machine Learning Workflows
- Data Processing Pipelines
- Python/Scala
- Big Data Systems (Spark, Hadoop)
- Cloud Computing (AWS)
- ElasticSearch
- Autopilot AI
- Software Generalist
- Neural Networks (optional)
How to Get Hired at Tesla
- Research Tesla's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in backend engineering, data processing, and AI tooling relevant to Tesla.
- Showcase problem-solving: Prepare to discuss complex technical challenges you've overcome, especially with large-scale data or ML workflows.
- Understand Autopilot AI: Familiarize yourself with Tesla's Autopilot goals and the role of AI in autonomous driving, even if ML knowledge is not required.
- Prepare for technical interviews: Practice coding challenges in Python or Scala, and be ready to discuss system design, data structures, and algorithms.
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