IP Characterization Engineer, AI Hardware

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IP Characterization Engineer, AI Hardware

| Job Category | Tesla AI | | Location | Bengaluru Urban, KA | | Req. ID | 276093 | | Job Type | Full-time |

What to Expect

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.

Candidate in this role will have ownership of productizing High-Speed IO, Mixed Signal IP’s - ensuring testability, evaluating silicon, optimizing yield/performance & feedback to design.

What You’ll Do

• Set up test plans for High-Speed IO and Mixed Signal IP’s in the SOC
• Work with design to ensure relevant IP testability hooks are implemented
• Define IP related test hardware design specifications for wafer probe and final test
• NPI development of different tests including loopbacks, analog parametric tests
• Own production test content, limits to ensure IP functionality, performance & yield
• Establish calibration/trim routines, correlate system effectiveness

What You’ll Bring

• Degree in Electrical Engineering, Computer Science or or releated fields, or equivalent experience

• 5-10 years of related experience in characterization of High-Speed IO PHYs such as DDR, PCIE, SerDes, UFS

• 5-10 years of related experience in characterization of Mixed Signal IPs such as PLL, Temp Sensor, Voltage/Droop detector

• Experience in silicon data processing, statistical analysis, scripting for automation

• Experience in correlating IP parametric data between ATE & bench/system

• Hands on experience of Advantest/Teradyne ATE platforms is a bonus

• Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

• Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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