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Weekday, Inc.

FPGA Engineer

Posted 3 Days Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Junior
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Junior
Validate Xilinx Vivado FPGA implementation flows, including placement and Static Timing Analysis. Analyze timing reports, constraints, violations, placement issues, and implementation failures; develop test scenarios, debug root causes, collaborate with design and verification teams, and document findings. The role also supports automation, scripting, validation methodology improvements, and AI-assisted engineering productivity.
The summary above was generated by AI

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱-𝟴 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: chennai,hyderabad,bangalore

Job Type: Full-time

We are looking for a skilled FPGA Design Verification Engineer with hands-on experience in the Xilinx Vivado implementation flow to validate and test FPGA implementation stages, including placement and Static Timing Analysis (STA).

The ideal candidate will have a strong understanding of FPGA design flows, digital and logic design, STA, design constraints, and debugging. You will be responsible for validating implementation flows, identifying issues, analysing results, and collaborating with engineering teams to ensure reliable and efficient FPGA designs.


RequirementsKey Responsibilities
  • Validate and test Xilinx Vivado FPGA implementation flows across different stages.
  • Work with Vivado implementation stages including placement and Static Timing Analysis (STA).
  • Analyse implementation results and identify potential design, timing, and flow-related issues.
  • Validate FPGA designs against defined implementation and timing requirements.
  • Perform Static Timing Analysis and analyse timing reports, paths, violations, and constraints.
  • Work with design constraints and verify their correctness and impact on implementation.
  • Debug logic, timing, placement, and implementation-related issues.
  • Analyse failures and collaborate with design and verification teams to identify root causes.
  • Develop and execute test scenarios to validate Vivado implementation functionality and robustness.
  • Support FPGA design-flow validation across different design configurations and use cases.
  • Collaborate with digital design, FPGA, verification, and EDA teams to resolve technical issues.
  • Review implementation reports and provide actionable technical feedback.
  • Contribute to improving implementation-flow validation, testing methodologies, and debug processes.
  • Explore opportunities for test automation and scripting to improve validation efficiency.
  • Leverage emerging AI-assisted tools and techniques where appropriate to improve engineering productivity.
  • Document test results, issues, debug findings, and validation methodologies.
What Makes You a Great Fit
  • 2–4 years of experience in FPGA design, FPGA verification, EDA, digital design, or a related engineering domain.
  • Bachelor's or Master's degree in Electronics & Communication Engineering (ECE), Electrical Engineering (EE), Electronics & Instrumentation (EI), VLSI, or a related discipline.
  • Hands-on experience with Xilinx Vivado, particularly the Vivado Implementation tool flow.
  • Strong understanding of the FPGA design and implementation flow.
  • Good knowledge of Static Timing Analysis (STA) and timing analysis methodologies.
  • Strong fundamentals in digital design and logic design.
  • Understanding of design constraints, timing constraints, and their application in FPGA implementation.
  • Strong debugging and problem-solving skills with the ability to analyse complex implementation issues.
  • Experience interpreting Vivado reports and identifying timing, placement, and implementation problems.
  • Ability to understand system-level design concepts and their impact on FPGA implementation.
  • Experience with an EDA company or EDA tool development/validation environment is an advantage.
  • Knowledge of scripting or test automation is desirable.
  • Familiarity with AI-assisted engineering or AI productivity tools is a plus.
  • Strong analytical skills and attention to detail.
  • Good communication and collaboration skills with the ability to work effectively across engineering teams.

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