Lead DFT Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 32d ago
The date the source published, not the day we noticed it (2026-08-13). Last seen at its source 3h ago.
Is it remote?
Canada, Remote - US
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Canada, United States
The description states no restriction of its own. This is the source's own tag.
Pay
$200k–250k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Carried by 1 source
-
greenhouse employer's own board first seen 12d ago · last seen 3h ago
The listing
EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.
Lead DFT Engineer
Job Description:
Developing silicon for edge-to-cloud computing isn't just about speed; it’s about balancing high-performance data processing with extreme power efficiency and reliability in remote environments.
As the Design for Test (DFT) Lead, you will be the architect of our testing strategy, ensuring our data center chips are flawlessly manufacturable and resilient enough for edge deployment.
Key Responsibilities:
Architectural Leadership: Define and implement the end-to-end DFT architecture for complex SoCs, including Hierarchical DFT, Scan compression, Boundary Scan and MBIST.
Edge-Specific Reliability: Develop strategies for In-System Test (IST) and power-on self-test (POST) to ensure chip health in remote edge data centers.
Implementation & Flow: Oversee scan insertion, ATPG (Stuck-at, Transition, Path Delay), and Memory/Logic BIST.
Cross-Functional Synergy: Collaborate with Design, Physical Design, and Yield teams to ensure high test coverage while minimizing area overhead and power impact as well as timing analysis.
Post-Silicon Validation: Lead the bring-up and debug phase on ATE (Automated Test Equipment) to root-cause silicon failures and optimize test time.
Technical Requirements:
Experience: 12+ years in DFT, with at least 2 years in a leadership or principal role. Bachelor’s degree in a related field.
Tools: Mastery of industry-standard tools (e.g., Synopsys TestMAX, Siemens/Mentor Tessent, Cadence Modus).
Memory & Logic Test: Deep expertise in MBIST (Memory Built-In Self-Test) with repair capabilities, SCAN, IJTAG (IEEE 1687) and boundary scan (IEEE 1149.1/6).
Advanced Nodes: Proven track record with FinFET nodes (7nm, 5nm, or below).
Low Power: Experience managing DFT in multi-voltage/power-gated designs—crucial for edge efficiency.
EnCharge AI is an equal employment opportunity employer in the United States.
The salary range for this position is $200,000 to $250,000 USD/CAN per year. Actual compensation offered will be determined based on job-related knowledge, skills, and experience.