Autopilot AI Software Engineer
1 day ago
**Tesla's Autopilot AI Team: A Hub for Machine Learning Excellence**
We are seeking a highly skilled **Software Engineer - Model Scaling, Autopilot AI** to join our team at Tesla. As a key member of our Autopilot AI team, you will play a crucial role in optimizing and scaling our neural network training infrastructure.
You will work closely with a specialized team of machine learning experts and have access to one of the world's largest model training clusters. Your primary focus will be on designing, implementing, and maintaining high-performance applications for neural network training, evaluation, and data processing pipelines.
In this role, you will:
- Design and implement large-scale data pipelines that handle petabytes of autonomous vehicle data, ensuring scalability and reliability;
- Optimize neural network training processes by optimizing code and data formats for faster data loading, orchestrating auto-labeling jobs, and debugging bottlenecks to enhance overall training efficiency;
- Enhance system performance by developing and implementing automation, monitoring, and optimization tools to improve resource utilization, parallelism, and data I/O;
- Collaborate with machine learning researchers to understand and execute their data and infrastructure requirements, providing solutions that facilitate rapid experimentation and production-scale model deployment;
- Develop evaluation tools and dashboards to support the development and refinement of neural networks;
- Implement low-level integrations that integrate with high-level training frameworks to enhance performance across various hardware platforms, including Dojo, Tesla's supercomputer;
- Stay updated with the latest advancements and technologies in machine learning engineering to continually improve Tesla's AI infrastructure.
**Requirements:**
- Strong software engineering skills, with extensive experience in Python and software engineering best practices, including code optimization and system-level programming;
- Experience with deep learning frameworks, such as PyTorch or TensorFlow, with hands-on experience in optimizing model training processes;
- Data manipulation and analysis expertise, with proficiency in tools like Jupyter notebooks, numpy, scipy, matplotlib, and scikit-learn, and experience handling large-scale data processing;
- System optimization and debugging expertise, with demonstrated experience in profiling and optimizing CPU/GPU code and debugging complex system-level software to ensure high performance and reliability;
- Distributed systems experience, with a proven track record of building and managing large-scale distributed systems, particularly in AI/ML workflows, with a deep understanding of parallel computing, resource utilization, and data handling;
- Knowledge of storage and data formats, with a strong understanding of underlying storage mechanisms and experience designing and optimizing data formats for machine learning workflows;
- Familiarity with high-performance networking, with experience in high-performance networking technologies, such as Infiniband, RDMA, and NCCL.
**Benefits and Compensation:**
Tesla offers competitive compensation, including an estimated salary range of **$140,000 - $360,000 per year**, plus cash and stock awards, and a comprehensive benefits package, including health insurance, 401(k) matching, employee assistance programs, and more.
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