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Job Description
Position Description
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 inference chips tailored to accelerate Teslas machine learning capabilities. A key part of this effort is Dojo, Teslas custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Teslas AI Hardware team 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.
Teslas AI hardware team is seeking a highly motivated ASIC RTL Design Engineer with a specialization in the mathematical and computational aspects of custom AI accelerators. You will focus on designing high-performance, power-efficient RTL for math-intensive components that power our AI training and inference systems. This role emphasizes expertise in tensor operations, matrix computations, and optimized data paths for advanced AI workloads. This role is located in Bengaluru, India. If you are passionate about pushing the boundaries of low-precision arithmetic, quantization techniques, and hardware acceleration for machine learning, this is your opportunity to contribute to revolutionary AI hardware.
Our Silicon Engineering team takes chips from first silicon through volume production — owning characterization, yield, diagnostics, and IP test. As a Staff SoC Product and Test Engineer, you will own the full arc from NPI bring-up and performance characterization through production yield optimization and IP-level test content, ensuring every product ships at validated quality and performance.
Responsibilities
Skills
Artificial IntelligenceDeep LearningData ProcessingMachine LearningAi/mlAiMlAgenticAgentic AiNeural NetworksIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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