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Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.
Talent Management Intern - HR Programs
Location: San Jose, CA
Role Overview
Astera Labs is seeking a driven and curious Talent Management Intern to join our HR team for Summer 2026. This is a unique opportunity to gain hands-on experience across the full spectrum of talent management, from onboarding and development programs to early career initiatives and process optimization - at one of the fastest-growing AI infrastructure connectivity companies in the industry.
As a Talent Management Intern, you'll work alongside our HR Programs team to design, execute, and improve initiatives that directly impact how we attract, develop, and retain top talent. You'll contribute to high-visibility projects including our New Hire Onboarding Week revamp, manager training programs, and our Early Career Intern/NCG Program. This isn't a "shadow and observe" internship, you'll own real deliverables, present to leadership, and see your work come to life.
If you're passionate about building exceptional employee experiences, excited by the intersection of people and technology, and eager to make an impact at a hyper-growth company powering the future of AI, we want to hear from you.
Key Responsibilities
- Onboarding Program Development
- Support the global rollout of onboarding checklists and ensure consistent Day 1 experiences across all regions
- Help create and refine 30/60/90-day onboarding templates and manager immersion plans
- Assist in evaluating hybrid onboarding formats including videos and self-learning platforms
- Partner with regional HR teams to scale programs and integrate local content
- Talent Development & Training Programs
- Contribute to the design and execution of manager capability training programs
- Support the development of level-based training suites for employees across all locations
- Help build training and development dashboards to track participation and program effectiveness
- Assist in creating competency frameworks and career development resources
- Early Career Program Support
- Support planning and execution of signature experiences including the Future of Semi Summit and Intern Symposium
- Contribute to the development of standardized University Recruiting Kits for consistent campus branding
- Assist with campus ambassador program expansion and student organization partnerships
- Help design communication strategies to engage the early career talent community year-round
- Process Optimization & Automation
- Map and document requirements across the candidate lifecycle from application through FTE conversion
- Support automation efforts for data collection, feedback touchpoints, and reporting
- Assist in building the Early Career Dashboard to track real-time metrics
- Identify opportunities to streamline HR processes using technology and AI tools
Basic Qualifications
- Currently pursuing a Bachelor's or Master's degree with an expected graduation date before August 2027
- Strong project management and organizational skills with ability to manage multiple priorities
- Excellent written and verbal communication skills
- Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word, Teams)
- Demonstrated interest in HR, talent management, or people operations
- Ability to work full-time in San Jose, CA for the duration of the internship
Preferred Qualifications
- Coursework or experience in Human Resources, Organizational Development, Business, Psychology, or related fields
- Prior internship or work experience in HR, recruiting, or program management
- Experience with data analysis and creating dashboards or reports
- Familiarity with HRIS systems or applicant tracking systems (e.g., Greenhouse)
- Experience planning events or leading student organizations
- Interest in the semiconductor or technology industry
Hourly rate is $33 to $44
We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.
Astera Labs Santa Clara, California, USA Office
Santa Clara, CA, United States, 95054
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
