J
Head of AI
Accepting applicationsJobright.ai · San Francisco, CA
Full-Time Principal AIMachine LearningPythonRTLSynopsys
Posted
19h ago
Category
Design
Experience
Principal
Country
United States
This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more.
This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams
Hiring Company: TenX Semi
One-liner: TenX Semi is reinventing how chips are designed to provide a seismic shift in the industry. The Head of AI will lead the AI engineering team, build core systems for generating and optimizing chip designs, and define the technical vision for AI systems.
Salary: $250K/yr - $400K/yr
Why Join Us:
• Build and improve AI that is redefining how next-generation chips are designed and verified while leveraging self-verifying-and-fixing loop using AI and formal methods.
• Founded by a Stanford University professor (Prof. Subhasish Mitra) and former Samsung EVP Suk Hwan Lim and a world-class team from Google, Meta, Apple, Broadcom, Stanford, Synopsys, well-funded with eight-figure backing raised from top-tier VCs.
• Work at the intersection of AI, formal verification, and chip design, one of the most technically challenging but rewarding problems in engineering.
• Join an early team with the opportunity to shape both the product and the future of AI-native chip design.
Role Responsibilities
• Set AI Technical Vision: Define the architecture and roadmap for our AI systems. You will make the critical decisions on model architecture, training strategy, and system design that determine our technical trajectory
• Build auto-pilot chip design systems: Lead development of LLMs that generate production-quality RTL. You will personally architect the systems that transform specifications into silicon-ready designs
• Develop optimization and design space exploration loop: Own the feedback system where verification results improve model efficacy. You will design the architecture that enables our AI to learn all the designs that are generated, fixed and optimized
• Lead Document Understanding: Build systems that parse architecture specs, design documents, and protocol definitions into structured representations our models can use
• Hire and Develop the Team: Build the AI engineering team to a large team over the next three years. You will recruit top talent, set technical standards, and mentor engineers
• Partner with Chip Design: Work closely with our chip design and verification engineers to ensure AI-generated designs meet production quality standards. You will bridge the gap between AI and hardware
• Drive Research Agenda: Identify and pursue research directions that advance our capabilities. You will keep us at the frontier of AI for hardware design
Qualifications
Required
• AI/ML Leadership: 8+ years of experience in ML/AI, with years of experience in leading teams. Shipped production AI systems that handle real-world complexity
• LLM Expertise: Deep hands-on experience with large language models—dataset creation, training, fine-tuning, and deployment. Understand transformer architectures, scaling laws, and the practical challenges of production LLM systems
• AI Agents and Code Generation: Worked on AI agents and code generation, program synthesis, or compiler systems
• Hands-on experience building AI agent systems and apps, with proficiency in Python and PyTorch
• Team Building: Hired and developed AI engineers. You can identify exceptional talent and create an environment where they do their best work
• Systems Thinking: Design systems that integrate models with infrastructure, data pipelines, and user workflows
Preferred
• Previous leadership role at a top AI labs or AI-focused startup
• Background in reinforcement learning, especially learning from feedback or verification and PPA signals
• Experience with document understanding, RAG systems, or structured information extraction
• MS or PhD in Computer Science, Machine Learning, or related field
How can I join Jobright TNT:
If this is your first time applying to a Jobright TNT role, the process works as follows:
1. Apply to your first Jobright TNT role
2. We review your background to determine if you meet the TNT quality bar
3. If qualified, your application is directly recommended to the employer
4. Once accepted into TNT, you may be:
- Invited to apply for other exclusive TNT-only roles
- Invited to private, invite-only hiring events with top startups
You will be notified of your TNT selection result.
PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.
Show more Show less
This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams
Hiring Company: TenX Semi
One-liner: TenX Semi is reinventing how chips are designed to provide a seismic shift in the industry. The Head of AI will lead the AI engineering team, build core systems for generating and optimizing chip designs, and define the technical vision for AI systems.
Salary: $250K/yr - $400K/yr
Why Join Us:
• Build and improve AI that is redefining how next-generation chips are designed and verified while leveraging self-verifying-and-fixing loop using AI and formal methods.
• Founded by a Stanford University professor (Prof. Subhasish Mitra) and former Samsung EVP Suk Hwan Lim and a world-class team from Google, Meta, Apple, Broadcom, Stanford, Synopsys, well-funded with eight-figure backing raised from top-tier VCs.
• Work at the intersection of AI, formal verification, and chip design, one of the most technically challenging but rewarding problems in engineering.
• Join an early team with the opportunity to shape both the product and the future of AI-native chip design.
Role Responsibilities
• Set AI Technical Vision: Define the architecture and roadmap for our AI systems. You will make the critical decisions on model architecture, training strategy, and system design that determine our technical trajectory
• Build auto-pilot chip design systems: Lead development of LLMs that generate production-quality RTL. You will personally architect the systems that transform specifications into silicon-ready designs
• Develop optimization and design space exploration loop: Own the feedback system where verification results improve model efficacy. You will design the architecture that enables our AI to learn all the designs that are generated, fixed and optimized
• Lead Document Understanding: Build systems that parse architecture specs, design documents, and protocol definitions into structured representations our models can use
• Hire and Develop the Team: Build the AI engineering team to a large team over the next three years. You will recruit top talent, set technical standards, and mentor engineers
• Partner with Chip Design: Work closely with our chip design and verification engineers to ensure AI-generated designs meet production quality standards. You will bridge the gap between AI and hardware
• Drive Research Agenda: Identify and pursue research directions that advance our capabilities. You will keep us at the frontier of AI for hardware design
Qualifications
Required
• AI/ML Leadership: 8+ years of experience in ML/AI, with years of experience in leading teams. Shipped production AI systems that handle real-world complexity
• LLM Expertise: Deep hands-on experience with large language models—dataset creation, training, fine-tuning, and deployment. Understand transformer architectures, scaling laws, and the practical challenges of production LLM systems
• AI Agents and Code Generation: Worked on AI agents and code generation, program synthesis, or compiler systems
• Hands-on experience building AI agent systems and apps, with proficiency in Python and PyTorch
• Team Building: Hired and developed AI engineers. You can identify exceptional talent and create an environment where they do their best work
• Systems Thinking: Design systems that integrate models with infrastructure, data pipelines, and user workflows
Preferred
• Previous leadership role at a top AI labs or AI-focused startup
• Background in reinforcement learning, especially learning from feedback or verification and PPA signals
• Experience with document understanding, RAG systems, or structured information extraction
• MS or PhD in Computer Science, Machine Learning, or related field
How can I join Jobright TNT:
If this is your first time applying to a Jobright TNT role, the process works as follows:
1. Apply to your first Jobright TNT role
2. We review your background to determine if you meet the TNT quality bar
3. If qualified, your application is directly recommended to the employer
4. Once accepted into TNT, you may be:
- Invited to apply for other exclusive TNT-only roles
- Invited to private, invite-only hiring events with top startups
You will be notified of your TNT selection result.
PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.
Show more Show less