ECE/EDA Engineer, AI Design Integration

SoftAge Information Technology Limited; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

SoftAge Information Technology Limited is seeking an experienced ECE/EDA Engineer, AI Design Integration, for full-time work in Hyderabad. The role requires hands-on expertise in ASIC/FPGA, VLSI, verification, and analog/mixed-signal engineering to develop, review, and evaluate solutions across RTL, verification, physical design, and analog/mixed-signal flows.

You will design and review code-first electronics (SKiDL/Python), generate netlists, and assess AI-generated circuit designs for

Qualifications

• B.Tech/M.Tech in Electrical, Electronics, ECE, Mechatronics, or a related field from a Tier 1/Tier2 institute.
• 4+ years of handson electronics design with genuine electromechanical depth.
• 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.

Responsibilities

• 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.

Skills

Python programming

SKiDL

Analog/digital design

Electrical circuit design

Education

B.Tech/B.E. in Electrical/Electronics/EC/Mechatronics

M.Tech in a related field

Tools

KiCad

Altium

Job description

Job Title: ECE/EDA Engineer, AI Design Integration

Type: Full-Time

Experience: 4+ 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/Tier2 institute.
• 4+ years of handson 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.