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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
Review Criteria
- Strong Data / ETL Test Engineer
- 5+ years of overall experience in Testing/QA
- 3+ years of hands-on end-to-end data testing/ETL testing experience, covering data extraction, transformation, loading validation, reconciliation, working across BI / Analytics / Data Warehouse / e-Governance platforms
- Must have strong understanding and hands-on exposure to Data Warehouse concepts and processes, including fact & dimension tables, data models, data flows, aggregations, and historical data handling.
- Must have experience in Data Migration Testing, including validation of completeness, correctness, reconciliation, and post-migration verification from legacy platforms to upgraded/cloud-based data platforms.
- Must have independently handled test strategy, test planning, test case design, execution, defect management, and regression cycles for ETL and BI testing
- Hands-on experience with ETL tools and SQL-based data validation is mandatory (Working knowledge or hands-on exposure to Redshift and/or Qlik will be considered sufficient)
- Must hold a Bachelor’s degree B.E./B.Tech else should have master's in M.Tech/MCA/M.Sc/MS
- Must demonstrate strong verbal and written communication skills, with the ability to work closely with business stakeholders, data teams, and QA leadership
- Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)
Preferred
- Relevant certifications such as ISTQB or Data Analytics / BI certifications (Power BI, Snowflake, AWS, etc.)
Job Specific Criteria
- CV Attachment is mandatory
- Do you have experience working on Government projects/companies, mention brief about project?
- Do you have experience working on enterprise projects/companies, mention brief about project?
- Please mention the names of 2 key projects you have worked on related to Data Warehouse / ETL / BI testing?
- Do you hold any ISTQB or Data / BI certifications (Power BI, Snowflake, AWS, etc.)?
- Do you have exposure to BI tools such as Qlik?
- Are you willing to relocate to Delhi and why (if not from Delhi)?
- Are you available for a face-to-face round?
Role & Responsibilities
- 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
- Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
- Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
- Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
- Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
- Experience of conducting test of migrated data and defining test scenarios and test cases for the same
- Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
- Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations
Ideal Candidate
- 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
- Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
- Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
- Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
- Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
- Experience of conducting test of migrated data and defining test scenarios and test cases for the same
- Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
- Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations
Job Opening: Engineer / Sr. Engineer – Instrumentation & Control (I&C)
Location: Airoli, Navi Mumbai
Department: Engineering – E&I
Experience Required: 5–8 Years
Qualification: BE / B.Tech in Instrumentation Engineering
Water & Wastewater Treatment, Desalination, O&M, Recycle & Reuse, Sludge Treatment, and Sustainability Consulting.
Key Responsibilities:
- Detailed study of tender documents and preparation of specifications & datasheets for PLC, instruments, cables, JB, trays, etc.
- Review of P&IDs
- Preparation of Instrument Index, I/O List, Hook-up Drawings, BOQ
- Design calculations including UPS sizing
- PLC system architecture, interconnection diagrams, wiring schemes
- Instrument cable tray/rack layouts and electronic earthing layouts
- Preparation of cable schedules, termination schedules
- Technical evaluation of vendor offers (PLC, instruments, VFDs, control valves, cables, JB, trays)
- Vendor drawing review and participation in FAT
- Interaction with clients and vendors for technical queries
- Support site teams during installation and commissioning
- Handle multiple EPC projects with minimal supervision
Key Skills Required:
- I&C Design for Water / Wastewater / STP / ETP plants
- Instrument selection (Flow, Pressure, Level, Temperature, Analytical)
- PLC systems & third-party communication
- Control room & equipment layout
- Knowledge of ISA standards
- Technical bid evaluation & procurement support
- AutoCAD (working knowledge)
- MS Office (Excel, Word)
Additional Desirable Skills:
- SPI knowledge
- Boolean Logic understanding
We are looking for a hands-on technical expert who has worked with multiple technology stacks and has experience architecting and building scalable cloud solutions with web and mobile frontends.
What will you work on?
- Interface with clients
- Recommend tech stacks
- Define end-to-end logical and cloud-native architectures
- Define APIs
- Integrate with 3rd party systems
- Create architectural solution prototypes
- Hands-on coding, team lead, code reviews, and problem-solving
What Makes You A Great Fit?
- 5+ years of software experience
- Experience with architecture of technology systems having hands-on expertise in backend, and web or mobile frontend
- Solid expertise and hands-on experience in Python with Flask or Django
- Expertise on one or more cloud platforms (AWS, Azure, Google App Engine)
- Expertise with SQL and NoSQL databases (MySQL, Mongo, ElasticSearch, Redis)
- Knowledge of DevOps practices
- Chatbot, Machine Learning, Data Science/Big Data experience will be a plus
- Excellent communication skills, verbal and written
The job is for a full-time position at our https://goo.gl/maps/o67FWr1aedo">Pune (Viman Nagar) office.
(Note: We are working remotely at the moment. However, once the COVID situation improves, the candidate will be expected to work from our office.)
Java Developer
- Hands-on experience in Software Development.
- Hands-on experience in designing and developing applications using Java EE platforms.
- Experience with test-driven Web Development.
- Team Handling, Problem-solving, Work Ethics, and Creativity.
- Communicate effectively with both business and technical stakeholders.
- Experience in Java Technologies.
- Proficient in Java and JEE internals
- Working knowledge of Microservices.
- Proficiency in Relational Databases, SQL and ORM technologies (Hibernate/DAO).
- Working Knowledge of the Spring Framework & Multi- threading
Mandatory Skill Sets: Java, Spring, Spring boot, microservices, multi-threading
Experience: 4-8
Positions open: 6
Location: WFO Bangalore, Gurgaon
Regards,
Pranay Chandra
Mobile Programming LLC
- Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
- Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
- Docker and Kubernetes (EKS)
- Linux/UNIX Administration (Amazon Linux and RedHat).
- Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
- Configuration Management tools (Chef or Puppet or ansible).
- Log aggregations tools such as Elastic and/or Splunk.
- Automate infrastructure and application deployment-related tasks using terraform.
- Automate repetitive tasks required to maintain a secure and up-to-date operational environment.
Responsibilities
- Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
- Build AWS or other public cloud infrastructure using Terraform.
- Deploy and manage Kubernetes (EKS) based docker applications in AWS.
- Create custom OS images using Packer.
- Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
- Liaison between application development, infrastructure support, and tools (IT Services) teams.
- Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
- Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
- Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
- Learn on the job and explore new technologies with little supervision.
- Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.
Who we have in mind:
- Solid experience in building a solution on AWS or other public cloud services using Terraform.
- Excellent problem-solving skills with a desire to take on responsibility.
- Extensive knowledge in containerized application and deployment in Kubernetes
- Extensive knowledge of the Linux operating system, RHEL preferred.
- Proficiency with shell scripting.
- Experience with Java application servers.
- Experience with GiT and Subversion.
- Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
- Experience working in a large-scale operational environment.
- Internet and operating system security fundamentals.
- Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
- Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
- Experience with Configuration Management Automation tools (chef or puppet).
- Experience with virtualization, preferably on multiple hypervisors.
- BS/MS in Computer Science or equivalent experience.
- Excellent written and verbal skills.
Education or Equivalent Experience:
- Bachelor's degree or equivalent education in related fields
- Certificates of training in associated fields/equipment’s
Company is seeking an Engineering Leader to deliver and manage a diverse development team. An ideal candidate would lead a team of developers and engineers, collaborating with product managers by structured thinking and delivering world class solutions by defining problems, prioritize them to solve and Identify them.
Responsibilities:
• You shall lead, manage and hire a team of talented engineers.
• Collaborating with your team, you will craft a thoughtful, long-term technical
strategy that anticipates future needs while being pragmatic about what’s needed
today.
• You will have practical exposure of being a technical contributor and mentor for your
team.
• While most of your focus will be on people management, you’re not afraid to roll up
your sleeves and do actual technical work when appropriate.
• Check and confirm the accuracy of the work performed and the methods used by
engineering team.
• Create detailed engineering plans, processes, and procedures for engineering staff to
use and abide by.
• You will work with other engineering managers and functional leads to set direction
and ambitious goals for your team, Engineering, and Company as a whole.
Qualifications:
• 7-12 years of programming experience in Python, Java, Ruby or other language.
• Experience with managing production systems in cloud platform.
• Have solid understanding of database technologies.
• Great numerical and analytical skills.
• Technical expertise with data models, data mining, and segmentation techniques.
• Excellent critical thinking, problem solving and analytical skills






