AI Hardware Manager

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AI Hardware Manager

| Job Category | Tesla AI | | Location | Bengaluru, Karnataka | | Req. ID | 269309 | | Job Type | Part-time |

What to Expect

About the Role

Tesla is seeking an experienced RTL Lead to drive the front-end design of next-generation AI accelerators, neural processing units (NPUs), and custom SoCs that power Full Self-Driving, Optimus, and our Dojo supercomputer. In this leadership role, you will own RTL architecture and implementation for high-performance, power-efficient digital designs at scale. You’ll lead a team of RTL engineers while collaborating closely with architecture, verification, physical design, and software teams to deliver world-class silicon that pushes the boundaries of AI hardware.

What You’ll Do

What You’ll Do

• Lead the micro-architecture, RTL design (SystemVerilog/Verilog), and integration of complex IP blocks or full subsystems (e.g., tensor cores, interconnect/NoC, memory controllers, data paths, or AI-specific compute clusters).

• Drive key design decisions on performance, power, area (PPA), and scalability for multi-billion-gate AI chips.

• Mentor and manage a team of RTL designers, providing technical guidance, code reviews, and career development.

• Collaborate with Architecture teams to refine specifications and with Verification teams to ensure high-quality, verifiable designs.

• Work with Physical Design, DFT, and Emulation teams to close timing, optimize for synthesis, and support tape-out milestones.

• Perform RTL quality checks, linting, CDC/RDC analysis, and formal verification.

• Contribute to power, performance, and area evaluations through modeling and simulation.

• Participate in bring-up, silicon validation, and post-silicon debugging as needed.

What You’ll Bring

What You’ll Bring

• Education: BS/MS/PhD in Electrical Engineering, Computer Engineering, or related field.

• Experience: 15+ years of RTL design experience in complex ASICs (preferably AI/ML accelerators, CPUs, GPUs, or automotive SoCs), with at least 5 years in a technical leadership or lead role.

• Strong expertise in SystemVerilog, high-performance digital design, pipelining, arbitration, and power optimization techniques.

• Deep knowledge of AMBA/AXI/ACE protocols, NoC architectures, memory subsystems, or AI tensor operations.

• Hands-on experience with synthesis (e.g., Synopsys DC), static timing analysis, linting (SpyGlass), and CDC tools.

• Proven track record of delivering production silicon from RTL to tape-out.

• Excellent problem-solving, communication, and cross-functional collaboration skills.

• Passion for Tesla’s mission to accelerate the world’s transition to sustainable energy and autonomous transportation.

• 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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