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Rtl Program Manager Jobs (NOW HIRING)

Synopsys, Inc.

$46K - $50K/yr

You know that the hardest part of delivering IP is not the RTL or the characterization, it is ... Shape program management standards across the IP organization What You'll Need * BSEE or equivalent ...

Altera

EDA Technical Program Manager

San Jose, CA · On-site

$151K - $195K/yr

... RTL Design, Verification, Validation, Product Engineering, and other engineering organizations ... Drive continuous improvement of program management practices, engineering processes, and ...

Synopsys

Silicon IP Program Manager - 18314

San Diego, CA · On-site

$66K - $73K/yr

You know that the hardest part of delivering IP is not the RTL or the characterization, it is ... Shape program management standards across the IP organization What You'll Need * BSEE or equivalent ...

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How much do rtl program manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for rtl program manager in the United States is $107,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Rtl Program Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $107,460 per year, or $51.7 per hour.

Senior Technical Program Manager - AI Acceleration

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

Full-time

Re-posted 11 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We are building the next generation of AI-powered simulation tools to accelerate hardware and silicon development. AI is reshaping how engineering teams operate, and we are investing in solutions that bring chatbots, agents, and assistant intelligence into the core of hardware workflows. As a Senior Technical Program Manager, you will play a critical role in turning this vision into reality - driving multi-functional programs, scaling systems, and delivering AI capabilities that transform how silicon is designed, verified, and brought to production. This role will also help enable AI productivity across hardware teams by making both internal and third-party AI tools available, understanding user requirements, and translating feedback back to internal platform teams and external partners. Spanning ASIC and research org, this role drives execution in close collaboration with engineers across all teams. We emphasize having influence over technical direction, not just performing tasks or tracking metrics. You should consider yourself an expert in chip design workflows and AI - or demonstrate a strong willingness to learn. Our mission is to enable NVIDIA to design and deliver world-class silicon faster than ever using AI while ensuring performance, efficiency, and resilience.
What you'll be doing:
  • Lead end-to-end planning and execution of AI for Chip Design initiatives, ensuring timely, on-scope, and scalable delivery
  • Define program plans and timelines for AI capabilities, tracking progress, partnership status, risks, opportunities, and reporting status to leadership
  • Lead technical discussions between AI engineers, hardware teams, platform groups, and third-party tool providers to ensure alignment on requirements, architecture, integration, and delivery expectations
  • Operationalize the evaluation of both internal and external AI tools, drive their availability and adoption by collaborating with hardware teams, providing guidance, and gathering feedback for continuous improvement
  • Act as a product and program interface between silicon design teams, internal AI platform teams, and third-party partners, helping prioritize requirements and translate user needs into actionable roadmaps
  • Establish and monitor key program metrics to measure execution success, identify bottlenecks, and ensure delivery meets quality, performance, and scalability targets
  • Serve as the central point of communication for all collaborators, providing clear status updates and insights into dependencies.
  • Partner with engineering leaders to prioritize initiatives that improve impact for silicon development and hardware workflows

What we need to see:
  • Bachelor's degree or equivalent experience in Computer Science, Electrical Engineering, or a related field, with proven experience leading complex, multi-functional technical programs in AI, silicon, or infrastructure
  • 10+ years of technical program management spanning AI and ASIC chip design
  • Strong understanding of RTL design, simulation, and formal verification, as well as software engineering fundamentals, system architecture, and scalable infrastructure
  • Hands-on experience building, deploying, integrating, or enabling AI agents, LLM-powered systems, or AI productivity tools in real-world engineering workflows
  • Proven ability to collaborate deeply with engineering teams and influence technical decisions, architecture, prioritization, and trade-offs
  • Experience driving programs from concept through production, including planning, execution, risk management, team alignment, and delivery at scale
  • Ability to gather, synthesize, and prioritize requirements from technical users, and communicate them clearly to internal engineering teams and external partners
  • Excellent communication and leadership, with the ability to translate complex technical concepts into clear program direction and updates

Ways to stand out from the crowd:
  • Hands-on experience in hardware or silicon development environments, understanding RTL, verification, and pre-silicon workflows
  • Experience evaluating, integrating, or deploying third-party tools into enterprise engineering environments
  • Familiarity with cloud-scale infrastructure, orchestration systems, and data pipelines for AI applications
  • Experience with cross-geography coordination and leading large teams or projects spanning multiple sites

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 5, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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