GIT Jobs in Bangalore

Embedded Engineer

RLE India Private Limited•

Bengaluru

+1 More

Other Locations1 cities

Pune

•full time

Job Summary We are seeking a skilled and motivated Embedded Engineer to join our growing team. This role will be focused on developing and integrating embedded systems, specifically within the Android Automotive domain. The ideal candidate will possess a strong understanding of embedded Linux, Android development, and experience with board bring-up and debugging. This is an onsite position. Key Responsibilities The Embedded Engineer will be responsible for the full lifecycle of embedded systems development, from initial concept and design to implementation, testing, and integration. This includes working closely with cross-functional teams to ensure seamless integration of hardware and software components. Required Skills & Qualifications Android Embedded Development: Demonstrated proficiency in developing applications and system components for embedded Android platforms. Android OS: A thorough understanding of the Android operating system architecture and its underlying principles. Yocto: Experience utilizing 1 Yocto Project for building and customizing embedded Linux distributions. BSP Development: Ability to develop and maintain Board Support Packages (BSPs) , including kernel configuration and device driver integration. BSP Integration: Skill in integrating BSPs with hardware platforms and ensuring proper functionality. Embedded Linux: Strong knowledge of Embedded Linux operating systems and their application in embedded devices. Board bring-up: Experience with the process of bringing up new hardware platforms, including initial configuration and testing. Debugging: Proven ability to effectively debug and troubleshoot embedded systems, utilizing various debugging tools and techniques. Android Framework: Familiarity with the Android Framework and its components, including the ability to customize and extend its functionality. System Components: Understanding of core system components within Android and their interactions. Device Configurations: Ability to configure and optimize device configurations for embedded Android platforms. Product Development: Experience participating in the full product development lifecycle, from concept to release. Integration: Skill in integrating various hardware and software components into a cohesive system. Android Automotive: Specific experience with Android Automotive platforms and their unique requirements. Automotive Domain: A general understanding of the automotive domain and its specific challenges. C/C++: Proficiency in C/C++ programming languages for embedded systems development. Kernel: Solid understanding of kernel architecture and its role in embedded systems. Device Drivers: Experience developing and integrating device drivers for various hardware peripherals. HAL: Knowledge of Hardware Abstraction Layer (HAL) and its role in decoupling hardware from software. Git: Proficiency in using Git for version control and collaborative development. Bsp: Familiarity with Bsp concepts and best practices. Android: Comprehensive knowledge of the Android operating system and its ecosystem. Experience Required: 3 - 5 years of experience in embedded systems development. This level of experience indicates a candidate who can work independently, solve complex problems, and contribute significantly to the team's success. A Bachelor’s degree is expected. What We Offer Salary: 15 LPA - 18 LPA

Software Engineer – Backend

Be limitless•

Bengaluru

•full time

Job Summary We are seeking two Software Engineer – Backend professionals to join our growing team in Bengaluru. This is a full-time position within the IT / Technology industry. The ideal candidate will possess a strong foundation in backend development principles and a passion for building scalable and robust systems. Key Responsibilities While specific responsibilities will evolve with project needs, the Software Engineer – Backend will be expected to contribute to the full software development lifecycle, from design and implementation to testing and deployment. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications To be successful in this role, candidates must demonstrate proficiency in the following areas: Python : Demonstrated ability to write clean, efficient, and well-documented Python code. Django : Experience building web applications using the Django framework, including understanding of its core concepts and best practices. Django REST Framework : Ability to design and implement REST APIs using Django REST Framework , ensuring adherence to industry standards. PostgreSQL : Strong understanding of relational database principles and experience working with PostgreSQL , including schema design, query optimization, and data integrity. REST APIs : Comprehensive knowledge of REST APIs , including design principles, implementation techniques, and best practices for building scalable and maintainable APIs. Git : Proficiency in using Git for version control, including branching, merging, and resolving conflicts. Docker : Experience containerizing applications using Docker , including creating Docker files and managing Docker images. Kubernetes : Familiarity with Kubernetes for container orchestration, including deploying and managing applications in a Kubernetes cluster. AI/ML APIs : Understanding of AI/ML APIs and experience integrating them into backend systems. Software Development Principles : Solid understanding of fundamental Software Development Principles , including object-oriented programming, design patterns, and code maintainability. Analytical Skills : Ability to analyze complex problems, identify root causes, and develop effective solutions. Problem-Solving Skills : Demonstrated ability to troubleshoot and resolve technical issues efficiently and effectively. Communication Skills : Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences. Qualifications : A Bachelor's degree in Computer Science, Information Technology, Electronics, or a related field is required. Experience Required : 1 - 3 years of experience in backend software development. This level of experience indicates a candidate who is capable of working independently and contributing meaningfully to a team, while still having opportunities for growth and learning. What We Offer Salary : 6 LPA - 10 LPA

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

CATIA CAA RADE Developer / CATIA Customization Engineer.

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled CATIA CAA RADE Developer / CATIA Customization Engineer to join our team. This role will focus on developing and customizing CATIA solutions using CATIA CAA RADE , ensuring optimal performance and alignment with business needs. The position requires an onsite presence. Key Responsibilities This role involves a deep understanding of CATIA and its customization capabilities. You will be responsible for developing and maintaining CATIA applications, addressing complex technical challenges, and ensuring the stability and efficiency of CATIA environments. Required Skills & Qualifications Education: A Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Computer Science, or a related discipline is required. Experience: 5-6 years of experience in software development, with a strong focus on CATIA customization and development. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. CATIA CAA RADE: Extensive proficiency in CATIA CAA RADE development, including a thorough understanding of its capabilities and limitations. CATIA V5: Strong working knowledge of CATIA V5 architecture and its functionalities. Programming Languages: Expertise in C++ and proficiency in C# and VBA for CATIA automation. Object-Oriented Programming (OOP): Solid understanding of OOP principles, including Inheritance , Polymorphism , and Templates , to design and implement robust and maintainable CATIA customizations. Memory Management: Demonstrated ability to manage memory effectively, utilizing techniques like STL to prevent memory leaks and optimize performance. CATIA Architecture & Frameworks: Deep understanding of CATIA architecture , CATIA frameworks , and CATIA interfaces , enabling efficient development of custom solutions. CAA APIs: Proficiency in utilizing CAA APIs to extend CATIA functionality and integrate with other systems. Geometric Modeling: Strong grasp of CATIA geometric modeling concepts , including 3D geometric entities , CAD geometry , and Geometrical entities . Coordinate Systems: Solid understanding of Coordinate Geometry , including Vectors , Matrices , Coordinate systems , Transformation matrices , Translation , Rotation , Scaling , Local coordinate systems , and Global coordinate systems . Mathematical Operations: Proficiency in performing mathematical operations such as Dot product , Cross product , calculating Distances , and Angles , as well as utilizing Projection and Normal vectors . CATIA Automation: Experience with CATIA V5 Automation APIs for automating tasks and workflows. CATIA Knowledgeware: Familiarity with CATIA Knowledgeware and EKL for creating and managing knowledge-based engineering solutions. CATIA UI Development: Ability to develop custom CATIA UI elements, CATIA dialogs , and CATIA commands . Data Exchange Formats: Knowledge of data exchange formats such as CGM , STEP , IGES , STL , and DXF . Geometric Algorithms: Understanding of geometric algorithms, including Intersection , Convex hull , Collision detection , and Interference detection . Version Control: Experience using GitHub for version control and collaboration. Analytical & Problem-Solving Skills: Demonstrated Analytical Skills and Problem-Solving Skills to effectively troubleshoot and resolve complex technical issues.

CATIA Automation Engineer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and motivated CATIA Automation Engineer to join our team. This role will focus on developing and implementing automation solutions using CATIA V5 Automation to enhance design efficiency and data management processes. The ideal candidate will possess a strong foundation in mechanical engineering principles and a passion for leveraging technology to solve complex problems within a CAD environment. Key Responsibilities The CATIA Automation Engineer will be responsible for the following: Developing and maintaining automation scripts and applications using CATIA V5 Automation , C# , and .NET to streamline design workflows. Utilizing CATIA V5 Automation APIs and the CATIA Object Model to interact with CATPart , CATProduct , and CATDrawing files. Troubleshooting and debugging automation scripts to ensure accuracy and reliability. Collaborating with design engineers to identify opportunities for automation and process improvement. Creating and maintaining documentation for automation scripts and processes. Performing CAD Data Migration and CAD Standardization tasks as needed. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: A Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, Computer Science, or a related discipline. 3 - 4 years of experience in a related role, demonstrating a solid understanding of automation principles and CAD software. Proficiency in CATIA V5 Automation , including the ability to develop and implement automation solutions. Strong programming skills in C# and .NET , with a solid understanding of Object-Oriented Programming (OOP) principles. Experience with VBA for automating tasks within CATIA V5 . Familiarity with CAD Geometry concepts, including Points , Lines , Planes , Curves , Surfaces , Vectors , and Coordinate Systems . Knowledge of Transformations and COM / COM Interop . Proficiency in using Visual Studio for development and Debugging . Experience with Windows Forms and WPF for creating user interfaces. Ability to work with data formats such as XML and JSON . Experience with data manipulation using Excel , CSV , and SQL . Strong Analytical Skills and Problem-Solving Skills . Experience with GitHub for version control.

Google Cloud Engineer - SSE

SACHA Engineering•

Bengaluru

+3 More

Other Locations3 cities

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and motivated Google Cloud Engineer - SSE to join our growing team. This is a hybrid role requiring a blend of hands-on technical expertise and collaborative teamwork. The ideal candidate will possess a strong foundation in cloud technologies, particularly within the Google Cloud Platform , and a proven ability to design, implement, and maintain robust and scalable cloud solutions. Key Responsibilities The Google Cloud Engineer - SSE will be responsible for a range of tasks related to the design, implementation, and maintenance of our Google Cloud infrastructure. This includes automating infrastructure provisioning, optimizing cloud resources for cost and performance, and ensuring the reliability and security of our cloud-based applications and services. Required Skills & Qualifications Education: A Bachelor’s degree in computer science or a related field, or a higher degree, is required. A minimum of 3 years of relevant experience is expected. Experience: 6 - 10 years of experience in a related field is required. This level of experience indicates a strong understanding of cloud technologies and a proven ability to work independently and as part of a team. DevOps: Demonstrated proficiency in DevOps principles and practices, with a focus on automation and continuous delivery. Google Kubernetes Engine (GKE): Extensive experience with GKE , including cluster configuration, deployment, and management. Infrastructure-as-Code: Strong understanding and practical experience with Infrastructure-as-Code methodologies and tools. Terraform: Expertise in using Terraform to provision and manage Google Cloud resources. Deployment Manager: Familiarity with Deployment Manager for automated deployment of Google Cloud resources. CI/CD: Deep understanding of CI/CD pipelines and experience with tools such as Cloud Build , Jenkins , and GitHub Actions . Kubernetes: Solid foundation in Kubernetes concepts, including Deployments , Services , and Autoscaling . Programming/Scripting: Proficiency in Python and Bash scripting for automation and system administration tasks. Version Control: Experience with GitOps principles and tools like ArgoCD and Helm . Cloud Governance: Knowledge of Cloud Governance best practices and experience implementing policies and controls. Cost Management: Ability to analyze and optimize Cloud costs, ensuring efficient resource utilization. Compliance: Understanding of Compliance requirements and experience implementing security measures to meet regulatory standards. Cloud Migration: Experience with Cloud Migration strategies and methodologies. System Reliability: Strong focus on System Reliability and experience designing and implementing highly available and resilient systems. High Availability & Redundancy: Expertise in designing for High Availability and Redundancy . Backup Strategies: Experience developing and implementing effective Backup Strategies . Proactive Monitoring: Ability to implement Proactive Monitoring solutions to identify and address potential issues before they impact users. Process Efficiencies: A commitment to identifying and implementing Process Efficiencies to improve operational effectiveness. Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills with the ability to troubleshoot complex technical issues. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts to both technical and non-technical audiences. Teamwork: Demonstrated ability to work effectively as part of a Teamwork environment. What We Offer Salary: ₹15 LPA - ₹20 LPA

Azure Cloud & Data ETL Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and experienced Azure Cloud & Data ETL Developer to join our dynamic IT / Technology team. This is a hybrid role, offering a blend of remote work and in-office collaboration. The ideal candidate will possess a strong background in data engineering, cloud technologies, and ETL/ELT development, with a focus on the Azure ecosystem. Key Responsibilities The Azure Cloud & Data ETL Developer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and solutions within the Azure cloud environment. This includes data ingestion, transformation, and loading processes, ensuring data quality, and adhering to data governance principles. The role also involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Required Skills & Qualifications Azure Data Services: Demonstrated proficiency in utilizing various Azure data services, including Azure Data Factory (ADF) , Azure Databricks , and Azure Synapse Analytics , to build and manage data pipelines. ETL Development: Extensive experience in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) development, including designing and implementing data integration solutions. Hybrid Data Architectures: A strong understanding of hybrid data architectures , enabling seamless data flow between on-premises and cloud environments. Cloud Migration: Experience in migrating data and applications to the Azure cloud platform. Data Engineering: Solid foundation in Data Engineering principles and practices. Data Modeling: Expertise in data modeling techniques, including the design and implementation of star schemas and snowflake schemas . Data Warehousing Concepts: A thorough understanding of data warehousing concepts and best practices. Programming Languages: Proficiency in Python and PySpark for data manipulation and processing. Data Ingestion & Integration: Experience with data ingestion and data integration processes, ensuring data accuracy and consistency. Data Quality & Governance: Knowledge of data quality and data governance principles and practices. DevOps & CI/CD: Experience with DevOps practices, including CI/CD (Continuous Integration/Continuous Delivery) pipelines, utilizing tools like Azure DevOps and GitHub Actions . Agile Methodology: Familiarity with Agile development methodologies. Performance Tuning & Indexing: Ability to perform performance tuning and indexing to optimize data query performance. Data Validation: Experience in implementing data validation processes to ensure data integrity. Azure Data Lake Storage (ADLS): Experience working with Azure Data Lake Storage (ADLS) . Communication Skills: Excellent communication skills , both written and verbal, to effectively collaborate with stakeholders. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data-related issues. Gemini AI: Familiarity with Gemini AI and its applications in data processing. Experience Required: 6 - 10 years of relevant experience in data engineering and cloud development. This level of seniority requires a proven track record of designing and implementing complex data solutions, leading projects, and mentoring junior team members. What We Offer Salary: 18 LPA

CAD Automation Manager (NX Open)

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a highly skilled and experienced CAD Automation Manager (NX Open) to join our team. This role will be responsible for leading and executing CAD automation initiatives, leveraging NX Open and other related technologies to enhance design efficiency and product quality. The ideal candidate will possess a strong technical background in CAD , automation , and software development, coupled with proven team management capabilities. Key Responsibilities The CAD Automation Manager will be responsible for the following: Leading and managing a team of CAD automation engineers. Developing and implementing CAD automation solutions using NX Open , C# , C++ , and Python . Collaborating with design engineers to identify and address automation opportunities. Ensuring the quality and reliability of CAD automation tools and processes. Staying abreast of industry trends and emerging technologies in CAD automation . Managing KBE (Knowledge Base Engine) development and maintenance. Utilizing Git and Azure DevOps for version control and continuous integration. Employing Agile Delivery methodologies to manage project timelines and deliverables. Required Skills & Qualifications To be considered for this position, candidates must possess the following skills and qualifications: B.E. / B.Tech / M.Tech in Mechanical, Automobile, Production or a related discipline. 8 - 12 years of experience in CAD automation , with a focus on NX Open development. Proficiency in NX Open , C# , C++ , and Python programming languages. Strong understanding of CAD principles, including Part Modelling , Assemblies , and Drafting . Experience with Siemens NX and Teamcenter . Solid knowledge of Software Design Principles and OOP (Object-Oriented Programming). Familiarity with GD&T (Geometric Dimensioning and Tolerancing) and PMI (Product and Manufacturing Information). Experience with Manufacturing Constraints and WAVE (Work Instructions for Visual Execution). Strong Communication Skills , both written and verbal. Experience with Jira for issue tracking and project management. Familiarity with AI/ML (Artificial Intelligence/Machine Learning) and Generative Design concepts. Understanding of ITK (Information Technology Knowledge) principles.