Majestic Labs AI Logo

Majestic Labs AI

Silicon Technical Program Manager - Backend & NPI focus

Posted 5 Hours Ago
Be an Early Applicant
In-Office
Los Altos, CA, USA
Senior level
In-Office
Los Altos, CA, USA
Senior level
Manage vendor backend execution and NPI for data-center AI chips, coordinating schedules from RTL freeze and physical implementation through tapeout, post-silicon characterization, qualification, validation, and high-volume production. The role bridges hardware design, backend implementation, DFT, and product engineering while challenging technical trade-offs and driving cross-functional execution.
The summary above was generated by AI
Description

We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.

Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!

About the position

We are looking for an experienced Silicon Technical Program Manager (TPM) to help manage our vendor's backend execution and New Product Introduction (NPI) for our data-center-grade AI chips.

In this role, you will bridge hardware design, backend implementation, and post-silicon qualification, characterization and validation. You will drive multi-chip execution schedules from RTL freeze through physical implementation, tapeout, post-silicon characterization, qualification, and high-volume production release.

Requirements
  • Education & Experience:
  • Bachelor of Science (BS) in Electrical Engineering, Computer Engineering, or related technical field with 8+ years of direct silicon engineering and silicon program management experience, OR
  • Master of Science (MS) with 6+ years of relevant experience.
  • Backend Expertise: Hands-on background or direct program management experience in physical implementation tasks.
  • Post-Silicon & NPI Experience: Proven track record bringing complex chips from tapeout to mass production.
  • Data-Center Class Silicon: Demonstrated experience executing high-power data-center-grade silicon projects.
  • Cross-Functional Rigor: Excellent technical communication skills with a proven ability to challenge technical trade-offs across backend design, DFT, and product engineering teams.

Preferred Qualifications

  • AI Silicon Experience: Direct experience managing silicon for specialized AI accelerators or GPUs.

We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges.

Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability, we want to meet you!

Similar Jobs

34 Minutes Ago
In-Office
Sunnyvale, CA, USA
182K-242K Annually
Senior level
182K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead the marimo engineering team across its open-source Python notebook ecosystem and molab cloud service. Manage and mentor engineers, guide architecture and technical direction, oversee staffing and releases, improve testing and CI/CD, and establish reliable production operations including observability, incident response, and capacity planning. The role also involves evaluating community contributions, translating user feedback into product improvements, and strengthening engineering practices as the team grows.
Top Skills: APIsAutomated TestingCi/CdGrafanaKubernetesObservability SystemsPrometheusPython
46 Minutes Ago
Hybrid
Santa Clara, CA, USA
167K-291K Annually
Senior level
167K-291K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Architects and operates enterprise cryptographic security services for a multi-tenant SaaS platform. Responsibilities include certificate lifecycle management, key management, secrets distribution, PKI, Kubernetes deployment, threat modeling, incident response, compliance with FIPS and regulated-environment requirements, and evaluating AI/ML for security applications. The role also mentors engineers, collaborates across product and security teams, and advances post-quantum cryptography readiness.
Top Skills: Ci/CdFipsGoHelmHsmJavaKmsKubernetesPkiTls
46 Minutes Ago
Hybrid
199K-348K Annually
Expert/Leader
199K-348K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own the Now Engage platform strategy, roadmap, and end-to-end delivery. Lead AI-native workspace, agent, integration, and customer success capabilities while aligning executives, business teams, engineering, architecture, and product stakeholders. Define requirements, prioritize initiatives, manage tradeoffs, drive adoption, and measure outcomes such as customer time to value. Apply technical expertise in system design, architecture, data flows, APIs, workflows, and AI/ML to deliver enterprise platform experiences.
Top Skills: Ai/MlAPIsEnterprise WorkflowsNow EngageServicenowStrategic Portfolio Management (Spm)System Integrations

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account