Sr. Clock Distribution Engineer, AI Hardware
Tesla · Posted Nov 3
Electric vehicles, solar panels, and integrated clean energy storage solutions
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About the role
Tesla's AI Hardware team designs custom AI inference chips and Dojo, Tesla's supercomputer for training neural networks on fleet video data, powering Full Self-Driving and the Optimus humanoid robot. The physical design team works across logic, circuit, methodology, and physical design levels on in-house SoC design. This role owns physical implementation of clock distribution networks for high-performance SoCs, including H-tree design, floorplan-stage clock planning in Innovus, and skew and EMIR optimization.
What you will do
- Design and implement H-tree clock distribution networks — plan topology, trunk routing, and branch balancing to minimize skew across the full clock domain
- Own clock planning at the floorplan stage in Innovus — place clock roots, define clock trunk paths, and establish pre-CTS constraints that guide downstream implementation
- Drive skew optimization from floorplan through CTS closure — iterate on H-tree structure, buffer placement, and load balancing to meet skew targets
- Size clock drivers and buffers — analyze drive strength requirements and validate EMIR compliance for large clock drivers under peak switching current conditions
- Evaluate EM and IR impact of high-fanout clock networks — ensure clock trunk and driver sizing meets electromigration current density limits and IR drop budgets
- Develop CTS constraints and guidelines — define skew groups, clock latency targets, and insertion delay budgets for the CTS engine
- Validate clock distribution against post-route parasitics — analyze skew degradation and drive ECO fixes to recover timing
- Implement clock shielding strategies to protect clock trunks from aggressor coupling and noise
- Analyze and optimize clock power — balance transition times, driver strengths, and switching activity for power efficiency
- Leverage agentic AI flows to automate H-tree generation, skew analysis, and EMIR validation across clock domains
Skills used in this role
What the employer is looking for
- Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent work experience
- 7+ years of clock distribution implementation experience on high-performance SoCs
- Deep expertise in H-tree clock topology design and skew optimization
- Hands-on proficiency with Innovus for floorplan-stage clock planning and CTS implementation
- Strong understanding of EMIR concepts as applied to large clock drivers and high-fanout clock networks
- Experience sizing clock drivers for EM compliance under peak switching conditions
- Solid grasp of pre-CTS planning, CTS constraints, and post-route skew validation
- Ability to use agentic AI flows to automate clock distribution analysis and optimization
Benefits and support
- Compensation and benefits are detailed in the job posting
About Tesla
Tesla, Inc. is an American multinational automotive and clean energy company that designs, manufactures, and sells electric vehicles, battery energy storage systems, and solar panels. Headquartered in Austin, Texas, the company is dedicated to accelerating the world's transition to sustainable energy through innovative technology and engineering. Its product ecosystem ranges from mass-market passenger cars and commercial semi-trucks to advanced energy generation and storage solutions.
- Industry
- Automotive
- Company size
- 125000+ employees
- Founded
- 2003
- Location
- Austin, Texas, USA
- Funding stage
- Public Company
Funding
Public Company · $6.0B raised
- 2020-05-18Post Ipo Debt$5.0B
Leadership
Elon Musk
Chief Executive Officer & Director
Chief Financial Officer & Chief Accounting Officer
Senior Vice President, Automotive
General Counsel & Corporate Secretary
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