The role is Design for Test (DFT) for high-performance designs going into industry leading AI/ML architectures. The person coming into this role will be involved in all implementation aspects from RTL to tapeout for various IPs on the chip. High level challenges include reducing test cost while attaining high coverage, and facilitating debug and yield learnings while minimizing design intrusions. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.

This role is hybrid, based out of Bangalore.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Responsibilities:

• Implementation of DFT features into RTL using verilog.
• Understanding of DFT Architectures and micro-architectures.
• ATPG and test coverage analysis using industry standard tools.
• JTAG, Scan Compression, and ASST implementation.
• Gate level simulation using Synopsys VCS and Verdi.
• Support silicon bring-up and debug.
• MBIST planning, implementation, and verification.
• Support Test Engineering on planning, patterns, and debug.
• Develop efficient DFx flows and methodology compatible with front end and physical design flows

Experience & Qualifications:

• BS/MS/PhD in EE/ECE/CE/CS with at least 5 years of industry experience in advanced DFx techniques.
• DFx experience implementing in finFET technologies.
• Experience with industry standard ATPG and DFx insertion CAD tools.
• Familiarity with SystemVerilog and UVM.
• Fluent in RTL coding for DFx logic including lock-up latches, clock gates, and scan anchors.
• Understanding of low-power design flows such as power gating, multi-Vt and voltage scaling.
• Good understanding of high-performance, low-power design fundamentals.
• Knowledge of fault models including Stuck-at, Transition, Gate-Exhaustive, Path Delay, IDDQ, and Cell Aware.
• Exposure to post-silicon testing and tester pattern debug are major assets.
• Experience with Fault Campaigns a plus.
• Strong problem solving and debug skills across various levels of design hierarchies.

The role is Design for Test (DFT) for high-performance designs going into industry leading AI/ML architectures. The person coming into this role will be involved in all implementation aspects from RTL to tapeout for various IPs on the chip. High level challenges include reducing test cost while attaining high coverage, and facilitating debug and yield learnings while minimizing design intrusions. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.

This role is hybrid, based out of Santa Clara, CA or Austin, TX

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You have a BS/MS/PhD in EE/ECE/CE/CS with 5+ years of industry experience in advanced DFx/DFT for complex ASIC/SoC designs.
• You are fluent in Verilog RTL for DFT logic (lock-up latches, clock gates, scan anchors) and comfortable with SystemVerilog/UVM.
• You have hands-on experience with ATPG and DFx insertion tools, fault models (Stuck-at, Transition, Path Delay, IDDQ, Cell-Aware), and low-power design flows.
• You bring strong debug and problem-solving skills across design hierarchies and collaborate effectively with design, PD, verification, and test teams.

What We Need

• Implement and integrate DFT features (scan, JTAG, compression, ASST, MBIST) into RTL from early design through tapeout across multiple IPs.
• Own ATPG, test coverage analysis, and gate-level simulation (e.g., with Synopsys VCS/Verdi) to achieve and maintain high-quality test coverage.
• Plan, implement, and verify MBIST, and work closely with Test Engineering on test planning, pattern delivery, and debug.
• Develop and refine DFx flows and methodology that integrate cleanly with front-end and physical design flows, balancing coverage, test cost, and design intrusiveness.

What You Will Learn

• How to drive DFT for industry-leading AI/ML architectures, working on high-performance chips with aggressive performance and power targets.
• Practical strategies to reduce test cost while maintaining coverage, and to design DFT hooks that accelerate silicon bring-up and yield learning.
• How to minimize DFT intrusions while integrating cleanly with RTL, verification, physical design, and production test flows.
• How a senior, cross-functional ASIC team collaborates across design, PD, verification, and manufacturing to achieve first-pass silicon success on advanced nodes.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is looking for a Staff Product Development Engineer - ATE Content Developer, who will be focused on core content development for high-performance AI/ML silicon. They  will be responsible for developing production test programs on ATE test platforms, translating DFT/ATPG content into optimized ATE solutions, and implementing Streaming Scan Network (SSN) architectures for efficient test data delivery. High level challenges include reducing test cost while maintaining coverage targets, optimizing test time for chiplet and multi-die architectures, and enabling rapid yield learning through robust test methodologies. The work is done collaboratively with a group of highly experienced engineers across DFT, design, product, and manufacturing domains.

This role is hybrid, based out of Austin, TX or Santa Clara, CA.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• An experienced semiconductor test engineer with 7 years and a BS/MS in EE/ECE/CE and a track record testing complex digital devices on advanced nodes.
• Hands-on with Advantest V93K and/or Teradyne UltraFlex+ platforms, comfortable owning production test programs end‑to‑end.
• Deeply familiar with DFT/ATPG flows and test architectures: scan chains, MBIST, compression, JTAG/IEEE 1149.1, and common fault models (stuck‑at, transition, path delay, cell‑aware).
• Proficient in C/C++ or Java, with strong scripting skills in Python, Perl, or TCL to automate flows, pattern handling, and data analysis.
• Skilled at debugging across ATE hardware, test programs, and silicon, and at using data to drive root‑cause analysis and yield improvement.

What We Need

• Develop and optimize production test programs on Advantest V93K using the SmarTest 8 environment, from bring‑up through high‑volume manufacturing.
• Translate ATPG patterns (STIL/WGL) into production‑ready test content, balancing test time, coverage, and cost for chiplet and multi‑die AI/ML devices.
• Implement and debug Streaming Scan Network (SSN) based content for high‑speed scan delivery, ensuring robust and scalable scan test infrastructure.
• Own test content for scan, BIST, and memory test structures, collaborating with DFT teams on pattern debug, fault diagnosis, and coverage improvement.
• Support silicon bring‑up and debug in the lab and at manufacturing sites, including correlation, corner characterization, and PVT studies.
• Build and maintain automation scripts and test methods that improve productivity, repeatability, and quality across the test lifecycle.
• Document test architectures, flows, and debug procedures so they can be scaled across products, sites, and engineering teams.

What You Will Learn

• How to test and scale cutting‑edge AI/ML silicon with chiplet and multi‑die architectures, including exposure to 2.5D/3D packaging and HBM integration.
• Deeper expertise in SSN architectures, high‑speed scan delivery, and next‑generation DFT/test methodologies for complex HPC/AI devices.
• How to drive end‑to‑end yield learning: from ATE data and STDF analytics through to design, DFT, and manufacturing process feedback.
• How a fast‑growing AI hardware startup coordinates DFT, design, product, and manufacturing to bring new silicon from first silicon to high‑volume production.
• Opportunities to influence test strategy, infrastructure, and automation roadmaps for future products and platforms as Tenstorrent’s portfolio scales.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.