Technical Sourcer, Semiconductor & AI Research
Overview
Own sourcing for Semiconductor and AI research roles at Samsung Research America, a world-class R&D hub in San Jose. You will partner directly with engineering leads to build candidate pipelines for 5+ concurrent openings, from C++ and Python to FPGA and Deep Learning roles. Your work feeds a high-performing Talent Acquisition team with visibility across multiple business segments. This role stands out for its direct impact on cutting-edge research hiring.
What You'll Do8
- 1Map the talent market for Semiconductor and AI roles, identifying target companies and passive candidates.
- 2Craft and send personalized outreach using LinkedIn Recruiter, Boolean search, and GitHub to engage top engineers.
- 3Screen resumes and portfolios for C++, Python, FPGA, and Deep Learning skills, then present shortlists to hiring managers.
- 4Build and maintain talent pipelines for future AI and Semiconductor needs, tracking in Greenhouse.
- 5Partner with recruiters and hiring managers to refine sourcing strategies for each role.
- 6Host sourcing syncs weekly to share market insights and pipeline health.
- 7Coordinate interviews and gather feedback to improve sourcing quality.
- 8Drive diversity sourcing through HBCU partnerships and Grace Hopper events.
Requirements8
- 15+ years in technical sourcing for Semiconductor, AI, or Machine Learning roles.
- 22+ years sourcing for FPGA, ASIC, or Embedded Systems positions.
- 3Proven Boolean search and X-ray search skills on LinkedIn Recruiter and GitHub.
- 4Hands-on experience with Greenhouse or similar ATS.
- 51+ years sourcing for Deep Learning frameworks like PyTorch or TensorFlow.
- 6Track record of filling 10+ engineering roles per quarter.
- 7Excellent written and verbal communication for candidate engagement.
- 8Ability to manage 3-5 open roles simultaneously in a fast-moving environment.
Salary Insight
$139k per year
Location
Required Skills
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