The Staff DFT Engineer will define and implement DFT strategies and methodologies, work with cross-functional teams, and support device bring-up for high-volume manufacturing.
Join the leading chiplet startup! As an Eliyan Staff DFT Engineer, you will be working at a fast-paced early-stage startup creating technologies that fuel tomorrow’s chiplet based systems with best-in-class power, area, manufacturability, and design flexibility. You will be defining and implementing scan, memory BIST, IEEE 1149.x/1687/1500/1838 structures, and reporting coverage. You will work with a cross-functional team of industry experts that operate from first principles, innovate and push the envelope to create high-volume and high-performance manufacturable products. We offer a fun work environment with excellent benefits.
Key Responsibilities:
- Work with the DFT and Chip Architects to define DFT strategy, methodologies, and implementation plan for various projects (chip_level and stand-alone IP blocks such as PHYs and chiplets)
- Implement DFT features in RTL for digital and analog blocks to the defined architecture & plan
- Generate patterns (e.g., 1687 PLDs, 1149.x, MBIST, etc.) and validate the same at the RTL & gate level
- Generate ATPG patterns (SA/TDF/etc.) and validate the same in 0-delay and SDF-delay based simulations.
- Collaborate with Analog/Mixed Signal (AMS) teams to ensure DFT coverage for high-speed interfaces & implement structural tests for digital logic in the analog blocks
- Work with circuit architects on advanced testing techniques such as PRBS-based PHY loopback capabilities, internal measurement of high-speed clock networks, etc.
- Support flow automation and scripting
- Support device bring up in the lab and pattern handoff to operations for high volume manufacturing and qualification (e.g., running patterns in the lab via the TAP controller, post-silicon bring up of patterns on the ATE, pattern bring up for HTOL and other QUAL activities, RMA analysis, etc.)
- Document overall test coverage and mitigation strategy to narrow down holes
Minimum Qualifications:
- Proficient in modern DFT/DFx techniques, methods, & tools (scan insert & ATPG, MBIST, etc.)
- Working knowledge of relevant industry standards (e.g., IEEE 1149.x/1687/1500/1838)
- Proficient in Verilog simulation & debug of DFT structures at the RTL & gate level
- General knowledge of digital and AMS circuit design techniques
- Experience in taping out at least 4 designs and bring up of at least 2 designs on an ATE or in the lab
- Proficient in TCL/shell scripting, working knowledge of scripting in one of perl/python or similar languages, working knowledge of other industry standard tools (Make, bug tracking, colab SW)
- Ability to work collaboratively with cross functional team
- BS EE or equivalent, with 6-9 years of experience
Ideal Qualifications:
- Deep expertise in modern test methods and DFx methodologies
- Experience in balancing tradeoffs of test time vs complexity (PPA) vs coverage
- Experience in taking a holistic view of a devices test coverage to incorporate the coverage from non-structural tests into the overall coverage analysis
- Experience with delivery of hard and soft IP to internal and external customers, including the ability to create design kit collaterals for the IP
- 3+ experience with Siemens Tessent platform including ATPG, MBIST, iJtag, BS, and SSN flows
- MS/PhD EE or equivalent, with 6-9 years of experience
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead portfolio-level commercial strategy for Internal Medicine and Antivirals, prioritizing investments, advising senior leadership, and driving early commercial assessments, business development input, and AI-enabled decision frameworks to maximize portfolio value across development, launch, lifecycle, and external innovation.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead early commercial and portfolio strategy for Inflammation & Immunology pipeline assets. Develop long-range commercial plans, early product concepts, opportunity assessments, and decision materials. Partner cross-functionally with R&D, Medical Affairs, Access, Analytics, BD, and commercial teams. Use AI-enabled approaches to synthesize scientific, clinical, market, and competitive insights to inform portfolio priorities, investment decisions, and launch readiness.
Top Skills:
Ai-Enabled Tools
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Co-op software developer contributing to application and backend service development, web clients, and cloud deployments. Collaborate with cross-functional teams, write and test code, troubleshoot issues, support CI/CD and containerization, and gain exposure to healthcare standards and medical imaging workflows.
Top Skills:
Automation ToolsAWSAzureC#C++Ci/CdDatabase ManagementDockerGCPJavaScriptKubernetesModern Browser StandardsPythonSQL ServerWeb DevelopmentWindows Server
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

