4 System Software Engineer Jobs nearby Bidar

Job Description: You will be responsible for training students on various technologies including Robotics (embedded & Pi Based), Artificial Intelligence, IOT, Drone, etc. This will involve preparing projects and modules as per the curriculum and getting students" teams ready for international competitions like TechnoXian. Key Responsibilities: - Train students on Robotics (embedded & Pi Based), Artificial Intelligence, IOT, Drone, etc. - Prepare projects and modules based on the curriculum. - Prepare students" teams for international competitions like TechnoXian. Qualifications Required: - B.Tech in Electronics & Communications. - Training experience of 2+ years in a Robotics or STEM Lab preferred. Please note that the job type is full-time with benefits including cell phone reimbursement, day shift schedule, and performance bonus. The requirements for this position include availability full time, 2-5 years of experience, and the vacancy is for 6 individuals with any gender welcome to apply.,

You should have expertise in Electronic Engineering, Firmware engineering, and Telecom along with experience in Firmware Design, using tools like Logic Analyzer and Oscilloscope. You will be required to design and implement systems using programming languages such as Embedded C, C++, and Assembly. Working experience with 8/16/32 bit Free scale controllers programming using CodeWarrior IDE is a must. Additionally, you should have hands-on experience with HW peripherals interface like PWM, ADC, DAC, CAN, UART, USB, Ethernet, etc. - Implement industry device drivers and protocols such as I2C, SPI, RS232, RS485, IPV4, IPV6, DHCP, SNMP, Ethernet, etc. - Design embedded firmware using C/C++ for real-time systems/applications. - Understand and maintain existing firmware and make necessary changes based on field requirements. - Involved in all phases of development including planning, design, implementation, testing, qualification, and release. - Write and execute testing plans, protocols, and documentation for the assigned portion of the application. - Expertise in Electronic Engineering, Firmware engineering, and Telecom. - Experience in Firmware Design using tools like Logic Analyzer and Oscilloscope. - Proficiency in programming languages such as Embedded C, C++, and Assembly. - Working experience with 8/16/32 bit Free scale controllers programming using CodeWarrior IDE. - Hands-on experience with HW peripherals interface like PWM, ADC, DAC, CAN, UART, USB, Ethernet, etc.,

As a Documentation professional at Sai Life Sciences located in Bidar, your role involves drafting and reviewing Investigation Reports in coordination with various departments such as Production Blocks, Maintenance, Process Engineering, QA, CQA, PR&D, QC, and AR&D. Additionally, you will be responsible for preparing Quality Risk Assessment and Impact Assessment Reports when necessary. Handling documents related to Quality Management System (QMS) like Change controls, Deviations, Planned changes, CAPAs, in collaboration with different departments is an essential part of your responsibilities. It is imperative to adhere to cGMP compliance by following the Standard Operating Procedures (SOPs) and approved procedures diligently. Furthermore, you will be accountable for executing any activities assigned by the Head of Department or Senior Management. Qualification Required: - M.Sc/B.Tech/Diploma (Chemistry/Chemical) with 4-9 years of relevant industry experience. Key Competencies: - Proficiency in GMP requirements and QMS knowledge. - Strong written communication skills, interpersonal skills, data analysis abilities, and comprehension of business processes are essential for this role. Sai Life Sciences is a rapidly growing Contract Research, Development, and Manufacturing Organization (CRDMO) that collaborates with over 300 global innovator pharma and biotech companies. With a team of over 3000 employees across facilities in India, the UK, and the USA, we focus on delivering scientific excellence and ensuring customer success. Our organization is Great Place to Work certified, fostering a culture of openness, mutual respect, and inclusivity. Embracing diversity and practicing equal opportunity principles at all levels are fundamental values we uphold. As a Documentation professional at Sai Life Sciences located in Bidar, your role involves drafting and reviewing Investigation Reports in coordination with various departments such as Production Blocks, Maintenance, Process Engineering, QA, CQA, PR&D, QC, and AR&D. Additionally, you will be responsible for preparing Quality Risk Assessment and Impact Assessment Reports when necessary. Handling documents related to Quality Management System (QMS) like Change controls, Deviations, Planned changes, CAPAs, in collaboration with different departments is an essential part of your responsibilities. It is imperative to adhere to cGMP compliance by following the Standard Operating Procedures (SOPs) and approved procedures diligently. Furthermore, you will be accountable for executing any activities assigned by the Head of Department or Senior Management. Qualification Required: - M.Sc/B.Tech/Diploma (Chemistry/Chemical) with 4-9 years of relevant industry experience. Key Competencies: - Proficiency in GMP requirements and QMS knowledge. - Strong written communication skills, interpersonal skills, data analysis abilities, and comprehension of business processes are essential for this role. Sai Life Sciences is a rapidly growing Contract Research, Development, and Manufacturing Organization (CRDMO) that collaborates with over 300 global innovator pharma and biotech companies. With a team of over 3000 employees across facilities in India, the UK, and the USA, we focus on delivering scientific excellence and ensuring customer success. Our organization is Great Place to Work certified, fostering a culture of openness, mutual respect, and inclusivity. Embracing diversity and practicing equal opportunity principles at all levels are fundamental values we uphold.

As the Quality Management Systems Specialist, your role will involve initiating, reviewing, and approving various quality management systems such as Change Controls, Deviations, Investigations, CAPA, OOS, and Complaints. Additionally, you will handle Return Goods and ensure the proper functioning of the quality system by performing risk assessments as needed. Conducting regular internal audits will also be part of your responsibilities. Key Responsibilities: - Initiate, review, and approve quality management systems including Change Controls, Deviations, Investigations, CAPA, OOS, and Complaints - Handle Return Goods and perform risk assessments to ensure the proper functioning of the quality system - Conduct regular internal audits to maintain compliance - Review and approve all documents such as SOPs, Spec & STPs, Forms, protocols, and reports - Review annual product quality review reports and provide training on cGMP topics to site employees - Support customer audits/visits and regulatory audits - Provide necessary documentation for amendments, annual updates, regulatory filings, and CMC supporting documentation - Fill out questionnaires, declarations, and quality agreements - Execute any additional responsibilities assigned by the Head of Department Qualifications Required: - Bachelor's degree in a relevant field - Prior experience in quality management systems within the pharmaceutical industry - Strong knowledge of cGMP guidelines and regulatory requirements - Excellent attention to detail and organizational skills - Effective communication and interpersonal abilities Note: The company values continuous learning and development, providing opportunities for professional growth and advancement within the organization.,

Job Title Software Engineer Job Summary We are looking for a skilled Software Engineer to join our development team. In this role, you will design, code, test, and maintain software applications, working closely with cross-functional teams to deliver high-quality solutions. You should be comfortable working in a dynamic environment, troubleshooting issues, and adapting to new technologies as needed. Key Responsibilities Software Design & Development Design, develop, and implement software applications using modern programming languages and frameworks. Write clean, efficient, scalable, and maintainable code following best practices. Translate requirements into functional software features and components. Testing, Debugging & Maintenance Perform unit testing, integration testing and other testing as needed to ensure software quality and reliability. Troubleshoot, debug, and resolve software defects or issues in a timely manner. Maintain and upgrade existing applications, ensuring they remain efficient, secure, and up-to-date. Collaboration & Cross-Functional Work Collaborate with product managers, designers, QA, and other stakeholders to define requirements, design solutions, and deliver features. Participate in code reviews, provide constructive feedback, and follow code standards and best practices. Document software design, code changes, workflows, and maintain version control records. Continuous Improvement & Learning Keep up-to-date with emerging technologies, development practices, and industry trends and apply them when beneficial. Contribute to process improvements, help refine development workflows, and enhance software quality and performance. Qualifications & Skills Bachelors degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Proven experience (or strong internship / project experience) in software development working with one or more programming languages (e.g. Java, Python, C++, JavaScript, etc.). Good understanding of the software development life cycle (SDLC), version control, and coding best practices. Strong problem-solving, debugging, and analytical skills. Ability to work collaboratively in a team environment, communicate clearly, and coordinate across teams. Adaptability and willingness to learn new technologies, frameworks, tools, and development practices quickly. (Optional / Preferred) Additional Skills Experience with front-end or back-end frameworks / libraries / full-stack development. Familiarity with database systems (SQL / NoSQL), web services / APIs, cloud services or DevOps practices depending on project needs. Experience with automated testing frameworks, CI/CD pipelines, containerization, or related modern development tools.

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

Job Title: Software Engineer Location: Open to All Cities Experience: 2-5 Years Qualification: Bachelors Degree Job Overview: We are seeking a talented Software Engineer with experience in building high-quality applications and working across the full software development lifecycle. The ideal candidate should have strong skills in Java, Spring, SQL, and exposure to bidding/tendering systems, automation, or industrial control systems (DCS/PLC/SCADA). Key Skills: Java, Spring Framework SQL Bidding/Tendering & Proposal Systems (Preferred) Automation / DCS / PLC / SCADA (Added Advantage) Strong debugging & problem-solving skills Responsibilities: Develop clean, efficient, and maintainable code. Debug, troubleshoot, and optimize application performance. Collaborate with cross-functional teams through the SDLC. Ensure application scalability, quality, and reliability. Stay updated on emerging technologies and best practices.  

Epic Software Engineer Budget : 150000/month Remote*  About the role Our client is hiring an Epic Software Engineer to build and integrate apps that run inside Epic and connect with a patient services platform. You will design secure, scalable workflows for enrollment, consent, surveys, provider updates, and analytics using Epic APIs, SMART on FHIR, HL7 v2, and modern web technologies.  4+ years of professional software engineering experience, with at least 2 years in healthcare integrations or EHR app development. Hands-on experience with Epic APIs, SMART on FHIR app development, and FHIR resource modeling. Strong proficiency with web development using JavaScript or TypeScript, React, and HTML/CSS. Proficiency building RESTful APIs and JSON contracts, including request validation, versioning, and backward compatibility strategies. Practical knowledge of HL7 v2 segments, message types, ACK handling, and interface engines. Experience implementing OAuth2.0; familiarity with SAML for enterprise SSO. Solid backend skills in Node.js or PHP; experience with C#/.NET or Java/Kotlin is a plus. SQL expertise with PostgreSQL or MS SQL, including schema design and query tuning. Docker-based development and AWS deployment experience.  Preferred qualifications Experience publishing Epic apps through Epic programs and working with Epic client teams for onboarding. Familiarity with interface engines such as Mirth, Rhapsody, or Cloverleaf. Knowledge of consent frameworks, TCPA considerations for SMS, and de-identification techniques. Experience with SFTP-based data exchange at scale, checksum validation, and idempotent ingestion design. CI/CD with GitHub Actions, GitLab CI, or similar, plus infrastructure as code on AWS. Observability with tools such as CloudWatch, OpenTelemetry, or Datadog. Tableau or analytics pipeline experience for clinical or brand reporting. Mobile development exposure in Swift or Objective-C for iOS and Java or Kotlin for Android for companion apps.  

Job Title: Senior AWS DevOps Engineer   About Us We are seeking a skilled and motivated AWS DevOps Engineer to join our infrastructure team in Bengaluru. You will play a key role in automating, managing, and scaling cloud infrastructure and deployment pipelines for our applications and services. What Youll Do Responsibilities Design, build, and maintain cloud infrastructure on AWS using Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation (or similar), and configuration management tools like Ansible. Automate infrastructure provisioning, environment setups, and deployments to ensure reproducibility, scalability, security, and reliability. Manage containerization and orchestration for applications using Docker and Kubernetes (or managed Kubernetes services such as AWS EKS); create and maintain Helm charts for application deployment. Build, maintain, and optimize CI/CD pipelines enabling automated, consistent build, test, and deployment workflows across environments (development, staging, production). Plan and execute application migrations either from on-premise/data-center infrastructure to cloud or across cloud environments. Script and automate routine tasks related to infrastructure, deployment, monitoring, backups, maintenance, etc., using scripting languages like Python, Bash, or Shell. Monitor cloud infrastructure and application performance, respond to incidents, perform root-cause analysis, and ensure high availability and reliability. Implement security best practices: manage IAM, network configurations (VPCs), secure access controls, compliance, and resource-hardening. Collaborate with development, QA, operations, and product teams to ensure smooth integration between services, and support architecture, deployment strategies, and infrastructure planning. What You Bring Required Skills & Experience Strong hands-on experience (typically 5+ years, or as per seniority) in DevOps / Cloud / Infrastructure roles, with significant exposure to AWS cloud environment. Expertise in Infrastructure-as-Code (IaC) tools such as Terraform (or CloudFormation) and configuration management/automation tools such as Ansible (or equivalent). Solid experience with containerization (Docker) and container orchestration platforms (Kubernetes), including Helm chart management and deployments. Strong scripting and automation skills proficient in languages such as Python, Bash, or Shell. Familiarity with building and managing CI/CD pipelines using standard tools and workflows. Deep familiarity with core AWS services e.g. EC2, S3, RDS (or managed databases), VPC/networking, IAM, storage, security, and cloud-native infrastructure design. Good understanding of cloud migration practices (on-premise cloud or cross-cloud) and ability to manage migrations effectively. Strong troubleshooting, incident analysis, system monitoring, and performance-optimization skills. Awareness of security best practices for cloud infra: access management, network security, compliance, backups, disaster recovery, etc. Excellent communication and collaboration skills; ability to work across cross-functional teams (developers, QA, operations, product)

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

 Capgemini Looking for Azure Data Engineer for PAN INDIA Location  Key Responsibilities :   Hands-on experience in Azure data bricks & Pyspark to develop ETL pipelines. Working experience in ETL testing including Master Data Management, Data Completeness Data Cataloging, Data Leverage, and Data Quality for various data feeds coming from the source. You will be responsible for developing, maintaining, and optimizing data pipelines and workflows using Databricks Should have experience working on complex data architecture Experience in working for a healthcare client is a plus. Should have worked in the onsite/offshore model earlier. Communicate progress and other relevant information the project stakeholders  Professional Attributes : Good Analytical SkillsExcellent Written and Verbal Communication  Kindly share your updated Resume along with below Information Total Exp Databricks Exp Current CTC Expected CTC Any Offer In Hand (Kindly mention the offered amount) Notice Period/Last working Day Current Location  Kind Regards Talent Acquisition Team Capgemini

Job Description Lead Engineer: BMS (Battery Management System) Job Code: ITC/L-B/20251108/17641 Location: Bangalore Designation: Lead Engineer BMS Experience Required: 7-10 Years Qualification: B.E Vacancy: 1 Salary Range: 16,00,000 22,00,000 per annum Position Type: Full-time Role Overview The Lead Engineer BMS will be responsible for designing, modeling, and implementing advanced control algorithms for Vehicle Control Units (VCUs) within the Battery Management System domain. This role involves model-based development using MATLAB/Simulink/Stateflow, simulation, auto-code generation, and rigorous validation through MIL, SIL, and HIL testing. The candidate will collaborate across hardware, software, and system engineering teams to ensure robust software integration while adhering to automotive safety and quality standards such as ISO 26262 and ASPICE. Key Responsibilities 1. Model-Based Development & Control Algorithms Develop, implement, and optimize VCU control algorithms using MATLAB, Simulink, and Stateflow. Perform model simulations, verification, and optimization for BMS functionalities. Generate production-quality code through Simulink Coder, Embedded Coder, or TargetLink. 2. Testing & Validation Execute MIL, SIL, and HIL testing to ensure robustness, performance, and compliance. Analyze model behavior, resolve defects, and ensure model quality against automotive standards. Conduct peer reviews of models and embedded software code. 3. Embedded Software Integration Work with Embedded C, C++, Python, and M-Script for code validation and tool automation. Ensure smooth software integration using structured build sequences and toolchains. Support vehicle-level calibration and parameter tuning for optimal control strategy performance. 4. Requirements, Documentation & Compliance Maintain full traceability of requirements using Polarion or DOORS. Create and update complete documentation including: Functional descriptions SOR (Statement of Requirements) Test specifications Validation reports Ensure strict adherence to ISO 26262 (functional safety) and ASPICE processes throughout the development life cycle. 5. Cross-Functional Collaboration Work closely with hardware, software, vehicle integration, and systems teams to ensure end-to-end integration of control features. Provide technical leadership and mentorship to junior engineers in model-based development and validation. Technical Skills Required MATLAB, Simulink, Stateflow MIL / SIL / HIL Testing Embedded C, C++, Python, M-Script Auto-code generation (Simulink Coder / Embedded Coder / TargetLink) Requirements management (Polarion, DOORS) Vehicle calibration and tuning ISO 26262, ASPICE compliance Compensation CTC Range: 16,00,000 - 22,00,000 per annum

Job Description: Software Engineer We are seeking a dynamic Software Engineer with a strong foundation in software development, Agile methodologies, and version control, combined with exceptional skills in PR strategy and government stakeholder interaction. This role requires a unique blend of technical expertise, communication excellence, and public-sector engagement. Key Responsibilities Oversee end-to-end planning and execution of software development initiatives using Agile methodologies. Collaborate with engineering teams to ensure high-quality delivery, maintain version control processes, and support continuous improvement. Develop and execute effective Public Relations (PR) strategies to enhance program visibility and stakeholder confidence. Engage with government officials and public-sector bodies, ensuring smooth communication, compliance, and relationship management. Prepare program reports, briefs, and technical documentation for internal and external stakeholders. Coordinate cross-functional teams to align program goals, milestones, and deliverables. Identify risks, roadblocks, and improvement opportunities, ensuring timely issue resolution. Required Skills & Qualifications Strong understanding of software development concepts and tech project workflows. Hands-on experience with Agile methodologies (Scrum, Kanban, etc.). Proficiency with version control systems (Git preferred). Proven experience designing and implementing PR strategies. Experience interacting with government officials, regulatory bodies, or public-sector clients. Excellent communication, stakeholder management, and problem-solving skills. Ability to work in fast-paced environments with diverse teams. Bachelors Degree is mandatory

Job Opening: Deputy Manager Embedded Systems Job Code: ITC/DM-ES/20251106/13981 Location: Bangalore Qualification: B.E Experience: 4-6 Years  Salary Range: 10,00,000- 15,00,000 per annum Status: Open Posted On: 6-Nov Updated On: 27-Nov About the Role The Deputy Manager Embedded Systems will be responsible for developing embedded software for both AUTOSAR and Non-AUTOSAR projects. The role includes designing and implementing MCAL drivers for microcontrollers, performing development and testing using compilers, debuggers, and emulators, and working on low-level drivers such as Memory Drivers, CAN, LIN, FlexRay, and SPI. The candidate will also configure, develop, and test the AUTOSAR Basic Software stack, generate, integrate, and test MCAL, OS, and RTE components, and apply knowledge of requirements engineering. Working knowledge of various communication protocols, vehicle electrical systems, and adherence to the software development lifecycle is essential. Key Responsibilities Develop embedded software for AUTOSAR and Non-AUTOSAR projects. Design and implement MCAL drivers for microcontrollers. Develop and test low-level drivers: Memory Drivers, CAN, LIN, FlexRay, SPI. Configure, develop, and test the AUTOSAR Basic Software (BSW) stack. Generate, integrate, and test MCAL, OS, and RTE components. Apply requirements engineering in software development. Work with compiler toolchains, debuggers, and emulators for software validation. Adhere to software development lifecycle (SDLC) processes and standards. Required Skills & Expertise Strong knowledge of C and Embedded C programming. Familiarity with SPI, UDS, CAN, BSW, AUTOSAR. Understanding of RTOS, hardware, and software embedded systems. Knowledge of vehicle electrical systems. Strong analytical, problem-solving, and debugging skills.

Job Title: Software Engineer Platform & Infrastructure Department: Software Engineering Job Category: Individual Contributor Reporting Structure: Reports To: Manager Software Engineering Reportees: None Peers: Software Engineers, Software Architects Stakeholders: Product Managers Location: Europe (Travel Required) Job Summary: The Software Engineer Platform & Infrastructure is responsible for building and maintaining the foundational systems that enable efficient, secure, and reliable software delivery across the organization. This includes cloud infrastructure automation, CI/CD pipeline development, Kubernetes environments, SDKs, data engineering support, and observability tooling. The engineer collaborates closely with development teams to create performant, developer-friendly platforms for both applications and data systems. Key Responsibilities: Design and implement Infrastructure as Code (IaC) using tools like Terraform, Bicep, and manage Azure cloud and Kubernetes environments. Develop and maintain CI/CD pipelines in Azure DevOps. Implement and manage monitoring and alerting systems (e.g., Prometheus, Grafana, Azure Monitor). Maintain and enhance the internal Developer Portal (Backstage). Build reference or sample applications using C#, TypeScript, or Java. Support data workloads and pipelines (Spark, PySpark) under team guidance. Identify and automate repetitive operational tasks to improve reliability and efficiency. Enhance monitoring and observability for better visibility, reliability, and proactive issue detection. Collaborate with development teams to define requirements, architecture, and specifications. Coach and support teams on DevSecOps best practices and platform utilization. Contribute to improving developer onboarding and maintaining comprehensive platform documentation. Qualifications, Skills, and Competencies: Education: Bachelors degree in Computer Science, Engineering, or a related field. Language: Proficiency in English (spoken and written). Experience: Proven experience as a Software Engineer or Platform Engineer. Technical Proficiency: Strong programming experience in C#, Python, TypeScript, or Angular. Expertise in Azure Cloud, Terraform, and Bicep. Hands-on with Kubernetes, networking, and monitoring tools. Deep understanding of CI/CD pipelines and DevSecOps principles. Exposure or interest in data engineering (Python, PySpark). Soft Skills: Excellent problem-solving, communication, teamwork, and attention to detail. Mindset: Proactive, automation-driven, and collaborative approach to platform engineering. Success Criteria / KPIs: Software Development & Reliability High platform reliability and reproducibility (pipeline success rates, infra drift metrics). Increased automation across delivery processes (manual task reduction). Fewer manual interventions or deployment incidents. Compliance with Service Level Objectives (SLOs). Improved developer satisfaction with platform usability. Collaboration & Communication Active participation in defining platform standards and requirements. Effective collaboration with development and operations teams. Constructive contributions to design reviews and incident postmortems. Code Quality & Best Practices Adherence to coding and infrastructure standards (code review success rate, test coverage). Positive impact on reliability and maintainability (fewer failures, reusable IaC modules, faster builds). Problem Solving & Debugging Efficient incident detection and resolution (MTTR, incident count). Proactive prevention of recurring issues and improvement in system stability. Learning & Growth Continuous learning and implementation of emerging technologies. Tangible skill growth through certifications, trainings, and project impact. Timely Delivery On-time delivery of automation and infrastructure improvements. Minimal delays in development or deployment due to platform dependencies.

Job Description: Strong C programming skills Internals of Linux Experience on Cisco Nexus OS internals is an added plus Experience on boot loader like UBoot onto the board to initialize the SoC and memory Should have good understanding of DPDK Able to write integrate ASIC within the DPDK framework that interacts with Sundown and Marvel ASICs Experience working on embedded RTOS system involving design dev debugging issues involve timing race conditions concurrency issues Knowledge on networking Layer2 layer3 protocols routing switching is an added plus

As a Systems Software Engineer specializing in Energy Engineering, your responsibilities will include: - Developing networking solutions and applications using C/C++ programming languages - Implementing web development projects using Java script - Designing and developing event-driven applications - Contributing to continuous process improvement initiatives - Collaborating in all stages of the software development life cycle Qualifications required for this role: - Engineering Degree (BE / B.Tech) in Computers, Electronics, or Electrical stream - 5 to 8 years of experience in an R&D environment - Proficiency in C/C++ programming, web development using Java script, and networking development - Familiarity with software development life cycle and continuous process improvement - Self-motivated individual able to work under minimal supervision - Willingness to travel internationally to engage with customers, development partners, and suppliers If you possess the above qualifications and are proficient in the mentioned skills, this role at Augusta Infotech could be a great fit for you.,

Role Overview: As a software engineer at Google, you will work on developing next-generation technologies that impact billions of users globally. The role involves handling information at a massive scale and collaborating with various teams to drive innovation across multiple areas of technology such as distributed computing, networking, artificial intelligence, and more. You will have the opportunity to work on critical projects and contribute to Google's mission of organizing the world's information. Key Responsibilities: - Build C++ based runtime and firmware for enabling compute on the Tensor System on a chip (SoC). - Define stable and backward-compatible Application Programming Interfaces (APIs) to support application-level compute acceleration. - Collaborate with first-party app developers on Google devices to ensure a high-quality user experience. - Develop unit tests and end-to-end tests to validate the software stack. - Create tools and infrastructure to streamline customer code integration and testing processes. - Guide the direction for new system architectures to support future applications like heterogeneous compute. Qualifications Required: - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. - 1 year of experience with software development in C++ or a related object-oriented language. - Experience with Software Implementation/Integration. Preferred Qualifications: - Master's degree in Computer Science or Computer Engineering. - 3 years of experience with software development in C++ or a related object-oriented language. - Experience in software development with C++ in embedded APIs/runtime/firmware or applications with hardware accelerators like DSPs, GPUs, and TPUs. - Experience with performance and power analysis in embedded systems or machine learning. - Proficiency in Runtimes, Firmware, GPU Drivers, Embedded Systems, Embedded Processors, and Real-Time Systems. - Knowledge of Android/Linux with an understanding of operating systems internals.,

You will be a Senior Embedded Software Engineer at a company that specializes in providing mobility solutions for Aerospace, Defence, Railways, and Industrial sectors for over 4 decades. As a Senior Embedded Software Engineer, your role will involve accelerating the development of embedded systems solutions. **Key Responsibilities:** - Write clean, efficient, and well-documented C/C++ code for embedded systems, following coding standards and best practices - Design and implement device drivers for various peripherals such as sensors, actuators, and communication interfaces (UART, SPI, I2C) - Utilize RTOS features to accurately manage tasks and system timing within real-time applications - Debug complex software issues effectively on embedded hardware - Analyze and optimize code for performance and resource utilization on embedded platforms - Collaborate closely with hardware engineers to ensure seamless integration between software and hardware components - Create detailed technical documentation including design specifications, API references, and user guides - Develop comprehensive test plans and procedures to validate hardware functionality and reliability **Qualifications Required:** - Bachelor's degree in Electronics and Communication Engineering or Electrical & Electronics Engineering - 4 to 6 years of embedded software design & development experience - Proven track record of successfully delivering complex embedded software development - Experience in industrial or mobility industries - Proficiency in C/C++ with a strong understanding of memory management and low-level programming concepts - Knowledge of various microcontroller architectures like ARM Cortex-M, AVR, PIC, and their peripherals - Experience working with popular RTOS like FreeRTOS, uCOS, or similar - Familiarity with communication protocols such as SPI, I2C, UART, CAN, and network protocols - Proficiency in using embedded development tools like JTAG debuggers, logic analyzers, and emulators - Understanding of software development methodologies like Agile and Waterfall This company values individuals with strong problem-solving and analytical abilities, excellent communication and collaboration skills, and the ability to work both independently and as part of a team.,

You will be working at Evident Scientific, a global leader in life-science microscopy and optical instrumentation, which has combined its optical heritage with Pramana's software, robotics, and AI innovation to define the future of Digital Pathology. The engineering team at Evident has developed the world's most advanced whole-slide imaging platform, trusted by more than 30 top-tier medical institutions, and is now moving towards intelligent imaging for real-time AI inference at the edge. **Role Overview:** As a leader in software architecture at Evident, you will be responsible for defining and driving the architecture for the next-generation Autonomous Digital Pathology platform. This role involves extending autonomy across the ecosystem, from robotic slide handling and imaging to inference, monitoring, data orchestration, and user experiences, contributing to the mission of delivering intelligent digital pathology systems globally. **Key Responsibilities:** - Define and evolve the platform architecture, integrating robotics, imaging, AI, and data pipelines. - Architect frameworks for robotic motion control, sensor fusion, and adaptive imaging to enable high-throughput scanning. - Optimize CPU and GPU architectures for camera controls, AI inference, and real-time image analysis. - Architect the on-prem and cloud data infrastructure connecting scanners, metadata, AI inference, and analytics. - Mentor the engineering team, collaborate with other departments, and represent Evident's technology vision. **Qualifications:** **Required:** - 20+ years in software engineering with 5+ years in architectural or senior technical leadership roles. - Expertise in distributed systems, edge computing, and cloud-native architecture. - Deep experience in robotics software frameworks, CPU/GPU architectures, and AI inference optimization. - Proficiency in Linux, Docker/Kubernetes, networking, and database design. - Track record of integrating AI/ML pipelines into production environments. - Exceptional communication and team-building skills. **Preferred:** - Experience in digital pathology, medical imaging, or automation systems. - Familiarity with DICOM/PACS, AI inference frameworks, and compliance standards. - Background in hardware-software co-optimization and vision-guided robotics.,