AI Engineering Data Specialist – CAD / EDA / Semiconductor Workflows
AI Engineering Data Specialist – CAD / EDA / Semiconductor Workflows
Full-time | On-site | Gurgaon, Noida, Bangalore | 5+ Years’
Experience
About SoftAge
SoftAge partners with AI research labs and product teams to build and train autonomous agents and foundation models across desktop, web, and engineering platforms. We convert real engineering workflows into structured training data used for next-generation AI systems.
We are looking for experienced engineers from mechanical, electromechanical, electronics, semiconductor, and EDA domains who want to contribute their domain expertise to AI development.
Role Overview
We are hiring engineers with experience in:
- Mechanical Design
- Industrial Design
- Electromechanical Systems
- PCB Design
- EDA and Semiconductor Workflows
- ASIC, FPGA, VLSI, Verification and Physical Design
The role involves performing engineering tasks, documenting workflows, reviewing AI-generated outputs, and helping create datasets and benchmarks for AI systems.
Key Responsibilities
- Execute engineering tasks using industry-standard CAD and EDA tools.
- Create and refine mechanical designs, assemblies, PCB layouts, and semiconductor workflows.
- Break down complex engineering tasks into structured workflows for AI training.
- Record design decisions, actions, and reasoning.
- Review AI-generated outputs and identify errors or failure cases.
- Build and validate datasets and benchmarks used in AI systems.
- Provide technical feedback and maintain process quality.
Required Qualifications
- B.Tech, M.Tech, or PhD in Mechanical Engineering, Industrial Design, Electrical Engineering, Electronics Engineering, VLSI, Microelectronics, or related disciplines.
- 5+ years of relevant industry experience.
- Strong technical documentation and problem-solving skills.
- Hands-on experience with one or more of the following tools:
CAD and Mechanical Design Tools
- SolidWorks
- Fusion 360
- CATIA
- Creo
PCB and Electronics Tools
- KiCad
- Altium
- Eagle
Semiconductor and EDA Tools
- Cadence
- Synopsys
- Siemens EDA
- Ansys
- Similar industry tools
Preferred Qualifications
- Experience with PCB-integrated enclosure design and electromechanical assemblies.
- Familiarity with DFM, thermal management, grounding, and mechanical-electrical integration.
- Experience in ASIC, FPGA, RTL, STA, DFT, UVM, Physical Design, Analog or Mixed-Signal flows.
- Python or scripting experience.
- Exposure to automation workflows.
- Familiarity with AI-assisted engineering tools or LLM-based systems.
- Previous experience in AI data creation or annotation.
Ideal Candidates
Engineers from:
- Semiconductor companies
- Product engineering teams
- Research labs
- High-growth start-ups
Individuals who combine strong technical expertise with structured reasoning and documentation skills.
Why Join SoftAge
- Work on AI systems used in engineering and design software.
- Contribute to the next generation of AI-powered engineering tools.
- Collaborate with AI researchers and engineering teams.
- Apply years of domain expertise to real-world AI development.
Selected candidates will be required to sign confidentiality and invention assignment agreements. Work quality and process adherence will be audited.
How to Apply
Interested candidates can apply using the form below:
Mandatory: 👉 https://forms.gle/pr77H91zVzNRWntu5
Shubham Vishwakarma
Full Stack Developer - Averlon
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