AI Hardware Engineer

AI Hardware Engineer at Tesla

The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI chips tailored to accelerate Tesla’s machine learning capabilities. Their work powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.

Please note that this is a general posting and your resume will be reviewed by multiple teams within the AI Hardware department.

Responsibilities

• Design, development, and testing of hardware components and systems
• Work with cross-functional teams to integrate hardware with software and other systems
• Develop prototypes and proof-of-concepts
• Influence design decisions through data analysis
• Provide technical documentation and reports

Requirements

• Degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field
• Experience in one of the following areas: AI Accelerators, EDA tools, Physical Design, RTL, DFT, DV, or microarchitecture
• Strong understanding of hardware design principles and concepts
• Knowledge and experience with logic design and synthesis tools and techniques
• Experience with programming languages (e.g., C++, Python, Perl, Linux, MATLAB)
• Ability to work effectively in a team environment

Key skills/competency

• AI Accelerators
• Hardware Design
• Microarchitecture
• RTL (Register-Transfer Level)
• DFT (Design for Testability)
• DV (Design Verification)
• EDA Tools (Electronic Design Automation)
• Physical Design
• C++
• Python