SI
ECE/EDA Engineer, AI Design Integration
Accepting applicationsSoftAge Information Technology Limited · Gurugram, Haryana, India
Full-Time Entry AIASICAnalogFPGAMixed-Signal
Estimated market salary
₹7-11 LPA
This is a SiliconBoard market estimate, not an employer-posted salary.
Posted
2d ago
Category
Design
Experience
Entry
Country
India
Job Title: ECE/EDA Engineer, AI Design Integration
Location: Gurugram | Bengaluru
Type: Full-Time
Experience: 5+ years
About the Role
We are seeking experienced ASIC, FPGA, VLSI, Verification, Physical Design, and Analog/Mixed-Signal engineers with deep knowledge of semiconductor and electronics design. In this role, you will apply your expertise to develop, review, and evaluate design solutions across RTL, verification, physical design, and analog/mixed-signal flows, ensuring technically accurate and robust outcomes.
What You'll Do
● Create and review data grounded in real electronics and electromechanical design practice.
● Express and evaluate designs code-first, schematics and netlists as Python (SKiDL), and judge AI-generated circuits, netlists, and system designs for correctness and buildability.
● Identify failure cases and edge cases across the electronics-to-mechanics boundary; flag where a design looks fine on paper but fails as real hardware.
● Break complex design and verification tasks into structured workflows the model can learn from and be measured against.
Domain Responsibilities
● Design and assess analog/digital circuits, power and motor-drive electronics, sensing, and signal integrity at the board and system level.
● Reason about electromechanical systems, motor selection, actuation, control interfaces, and the coupling between electrical and mechanical behaviour.
● Author and review code-first electronics (SKiDL/Python), netlist generation, and design automation.
● Validate designs against real-world constraints, thermal, EMI, manufacturability, and integration with mechanical assemblies.
Requirements
Must Have
● B.Tech/M.Tech in Electrical, Electronics, ECE, Mechatronics, or a related field from a Tier 1/Tier 2 institute.
● 5+ years of hands-on electronics design with genuine electromechanical depth, you've designed hardware that moves, senses, or drives something real.
● Strong Python and a code-first mindset for hardware (SKiDL or equivalent programmatic schematic/netlist tooling).
● Solid grasp of circuit design, power/motor drives, sensing, and electrical-mechanical integration.
Good to Have
● Exposure to traditional EDA tools (KiCad, Altium) for cross-checking code-first designs.
● Control systems, embedded/firmware, or mechatronics background.
● Familiarity with AI/ML-assisted design or LLM-based tooling.
Keywords
Electronics Design · Electromechanical · Mechatronics · SKiDL · Code-First EDA · Python · Circuit Design · Motor Drives · Power Electronics · Sensing · Netlist · KiCad · Control Systems · AI
Interested candidates are required to complete the attached Assessment as part of the application process.
Please submit your completed assessment to shilpa.srivastava@softage.net
You can access the assessment using the link below:
Assessment Document: https://drive.google.com/file/d/1HKZweq17VEGkAIcPN6hZ2UeosM7VfY3v/view?usp=sharing
Show more Show less
Location: Gurugram | Bengaluru
Type: Full-Time
Experience: 5+ years
About the Role
We are seeking experienced ASIC, FPGA, VLSI, Verification, Physical Design, and Analog/Mixed-Signal engineers with deep knowledge of semiconductor and electronics design. In this role, you will apply your expertise to develop, review, and evaluate design solutions across RTL, verification, physical design, and analog/mixed-signal flows, ensuring technically accurate and robust outcomes.
What You'll Do
● Create and review data grounded in real electronics and electromechanical design practice.
● Express and evaluate designs code-first, schematics and netlists as Python (SKiDL), and judge AI-generated circuits, netlists, and system designs for correctness and buildability.
● Identify failure cases and edge cases across the electronics-to-mechanics boundary; flag where a design looks fine on paper but fails as real hardware.
● Break complex design and verification tasks into structured workflows the model can learn from and be measured against.
Domain Responsibilities
● Design and assess analog/digital circuits, power and motor-drive electronics, sensing, and signal integrity at the board and system level.
● Reason about electromechanical systems, motor selection, actuation, control interfaces, and the coupling between electrical and mechanical behaviour.
● Author and review code-first electronics (SKiDL/Python), netlist generation, and design automation.
● Validate designs against real-world constraints, thermal, EMI, manufacturability, and integration with mechanical assemblies.
Requirements
Must Have
● B.Tech/M.Tech in Electrical, Electronics, ECE, Mechatronics, or a related field from a Tier 1/Tier 2 institute.
● 5+ years of hands-on electronics design with genuine electromechanical depth, you've designed hardware that moves, senses, or drives something real.
● Strong Python and a code-first mindset for hardware (SKiDL or equivalent programmatic schematic/netlist tooling).
● Solid grasp of circuit design, power/motor drives, sensing, and electrical-mechanical integration.
Good to Have
● Exposure to traditional EDA tools (KiCad, Altium) for cross-checking code-first designs.
● Control systems, embedded/firmware, or mechatronics background.
● Familiarity with AI/ML-assisted design or LLM-based tooling.
Keywords
Electronics Design · Electromechanical · Mechatronics · SKiDL · Code-First EDA · Python · Circuit Design · Motor Drives · Power Electronics · Sensing · Netlist · KiCad · Control Systems · AI
Interested candidates are required to complete the attached Assessment as part of the application process.
Please submit your completed assessment to shilpa.srivastava@softage.net
You can access the assessment using the link below:
Assessment Document: https://drive.google.com/file/d/1HKZweq17VEGkAIcPN6hZ2UeosM7VfY3v/view?usp=sharing
Show more Show less