DFT Engineer
Weekday AI
DFT Engineer
Weekday AI
Proactive software engineer recruitment via referrals
Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-17
Salary: INR 1,500,000–8,000,000
Workplace: on_site
Department: Weekday's Client via platform
This role is for one of the Weekday's clients
Salary range: Rs 1500000 - Rs 8000000 (ie INR 15 - 80 LPA)
Min Experience: 5+ years
Location: Bengaluru, Telangana, Hyderabad, Telangana, India, Karnataka
JobType: full-time
We are seeking an experienced DFT Engineer with 5–20 years of industry experience to drive the design-for-test strategy and implementation for complex ASIC/SoC designs. The ideal candidate will have strong hands-on expertise in ATPG and Scan, with a solid understanding of test architecture, fault coverage, test pattern generation, and DFT verification.
You will work closely with RTL, Physical Design, Verification, and Product Engineering teams to develop robust, production-ready test solutions while ensuring high test coverage, quality, and manufacturability.
The ideal candidate is a technically strong DFT professional who can independently own DFT activities, troubleshoot complex test challenges, and collaborate effectively across multiple engineering teams. Strong analytical, debugging, communication, and problem-solving skills are essential for success in this role.
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Proactive software engineer recruitment via referrals
Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.
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