Trois Infotech

The ideal candidate is a motivated, well-organized individual who has a deep understanding of prospecting and developing strong relationships with customers. Responsibilities Develop and execute strategies to drive business in new and existing markets Partner with Talent Acquisition to identify and recruit top sales talent Mentor employees to help them achieve individual & team objectives Qualifications Bachelor's degree or equivalent experience in Business 5+ years' of sales experience with at least 2 years in the surveillance/security industry. Excellent written and verbal communication skills Show more Show less

Job Title : Onsite Support Engineer (KPL Port, Ennore) Job Type : Permanent Working days : Monday to Saturday Experience : Freshers/1 year of experience Location : Kamarajar Port Ltd, Ennore, Chennai Key Responsibilities 1. System Monitoring and Maintenance: o Monitor and maintain Surveillance cameras and associated IT infrastructure. o Regularly check the functionality of Surveillance cameras, and Systems and ensure they are operational. 2. Network Support: o Assist in troubleshooting network-related issues. o Ensure connectivity of devices, including cameras and other surveillance equipment, with the central Server. 3. Surveillance Camera Support: o Perform basic maintenance and troubleshooting of Surveillance cameras. o Coordinate with vendors for advanced support or repairs. 4. System Configuration and Support: o Support the setup and configuration of Windows and Linux-based systems (Linux knowledge is an added advantage). o Ensure all systems meet the required security and operational standards. 5. Reporting and Documentation: o Maintain logs of activities and generate reports for system performance and issues. o Document troubleshooting processes for future reference. 6. Vendor Management: o Coordinate with vendors for procurement, maintenance, and issue resolution of equipment and services. o Ensure timely delivery and quality compliance from vendors. 7. Report Making: o Prepare and submit detailed reports on system performance, incidents, and project updates to stakeholders. o Ensure accuracy and clarity in all documentation. 8. Coordination: o Coordinate with the operations team to resolve system-related challenges. o Collaborate with other team members to ensure seamless operations at the port. Required Qualifications  Diploma or Graduation in any relevant field.  Basic knowledge of IT infrastructure.  Fundamental understanding of Surveillance cameras.  Networking knowledge (LAN/WAN, IP configuration, etc.).  Basic knowledge of system operations on Windows and Linux platforms (Linux preferred but not mandatory). Skills and Competencies  Problem-solving skills and attention to detail.  Ability to work under pressure and manage time effectively.  Good communication skills.  Willingness to learn and adapt to new technologies. Additional Information  The role requires the engineer to work on-site at Ennore, Chennai.  Support engineers may be required to handle emergencies and work flexible hours when necessary. How to Apply: Interested candidates can send their resumes to abhishek.m@trois.in for further details. Job Type: Full-time Schedule: Fixed shift Rotational shift Education: Bachelor's (Preferred) Experience: total work: 3 years (Preferred) Work Location: In person Expected Start Date: 15/02/2025

Role Title : Senior Engineer – AI, CV & Edge Product Development Department : Engineering / Product Development Reports To : Technical Lead → Engineering Manager → Technical Program Manager Location : [Technopark- Trivandrum] Employment Type : Full-time The Senior Engineer – AI & Edge Product Development is responsible for the design, development, integration, and optimization of advanced technology components within AI and computer vision-based product lines. This role spans edge and server hardware, embedded and cloud applications, system utilities and infrastructure alignment. The Senior Engineer contributes technically, drives implementation excellence, and provides mentoring support to junior engineers. Key Responsibilities1. System Design & Development Develop core software modules for edge and server environments including system services, APIs, and AI integration layers. Participate in the design of end-to-end architecture involving AI/CV models, sensor integration, and multi-platform deployment. 2. AI & Computer Vision Implementation Collaborate with data science teams to integrate AI/ML models into production pipelines. Optimize runtime performance and memory utilization for inference on edge devices (e.g., GPU, TPU, ARM platforms). 3. Hardware & Embedded Systems Coordination Ensure compatibility and performance alignment between software applications and underlying edge or server hardware. Work on low-level device interfaces, sensor control, and real-time data acquisition when required. 4. Application and Utility Development Contribute to the development of utilities for diagnostics, licensing, system configuration, remote updates, and monitoring. Ensure robust, user-oriented, and secure implementation of all services. 5. Infrastructure & Deployment Support Support infrastructure sizing and configuration based on AI workload profiles, latency requirements, and deployment architecture. Collaborate with DevOps for containerization, CI/CD setup, and deployment automation across environments. 7. Code Quality & Documentation Write clean, maintainable, and scalable code with unit tests and inline documentation. Participate in code reviews, performance tuning, and system debugging efforts. 8. Mentorship & Team Collaboration Provide technical mentorship to junior engineers and interns. Collaborate with product, QA, infrastructure, and hardware teams for coordinated execution. Required Qualifications & Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 4+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Show more Show less

Brief Description The Technical Lead – AI, Embedded & Edge Systems is responsible for leading cross-functional engineering efforts in the design, development, and integration of AI-powered solutions across embedded hardware, edge/server devices, system software, and infrastructure components. The role bridges hardware-software co-design, system architecture, and execution leadership, ensuring delivery of scalable, high-performance, and secure computer vision and artificial intelligence and robotics products. 1.2. Key Responsibilities1. Technical Architecture & Design Lead end-to-end system design covering embedded hardware, edge/server platforms, and AI model integration. Define scalable and secure architectural frameworks for hardware-software interoperability, real-time processing, and data flow. 2. Embedded Systems & Hardware Solutioning Architect and develop embedded hardware systems (MCUs, SoCs, AI accelerators) for edge and server products. Supervise schematic reviews, PCB design validation, and bring-up of edge devices aligned with AI/CV use cases. 3. AI & Computer Vision Integration Coordinate with ML engineers to deploy and optimize CV models on heterogeneous hardware (GPU, IPU, NPU, SOCs etc.). Support model quantization, inference optimization, and real-time processing strategies on edge platforms. 4. Edge and Server Application Development Oversee development of core applications, services, middleware, and utilities on both embedded and server systems. Ensure fault-tolerant, modular, and interoperable implementations across deployment environments. 5. Infrastructure Recommendation & Integration Recommend compute, storage, and networking infrastructure for on-prem, hybrid, or cloud deployments based on application demands. Collaborate with DevOps and infra teams to establish deployment pipelines, configuration profiles, and monitoring strategies. 7. Team Leadership & Mentorship Lead and mentor a team of embedded engineers, application developers, and integration specialists. Conduct technical reviews, guide debugging sessions, and promote engineering best practices. 8. Stakeholder Collaboration Communicate and negotiate on technology and development aspects with product managers, architects, QA, and the peers in other organizations to ensure aligned development and seamless integration. Translate business requirements and user stories into actionable technical work plans. Preferred Skills Bachelor’s or Master’s degree in Electronics, Electrical, Computer Engineering, or related field. 5+ years of product development experience, preferably with embedded systems design and systems programming with at least 3 years in a technical leadership role. Strong expertise in embedded systems, circuit design, board bring-up, and firmware development. Proficient in Python, C/C++, and system-level programming with real-time constraints. Hands-on experience with edge AI deployment frameworks, embedded Linux, and driver development. Familiarity with infrastructure components (Docker, Kubernetes, CI/CD tools) Preferred Attributes Experience working on mission-critical or real-time AI/CV products (e.g., surveillance, robotics, smart infrastructure). Ability to navigate between low-level hardware issues and high-level application architecture. Strong documentation, communication, and team coordination skills. Exposure to regulatory or compliance-heavy product domains is an advantage. Job Types: Full-time, Permanent Schedule: Fixed shift Monday to Friday Education: Bachelor's (Preferred) Experience: total work: 5 years (Preferred) C++: 5 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025

Brief Description The Senior Engineer – AI & Edge Product Development is responsible for the design, development, integration, and optimization of advanced technology components within AI and computer vision-based product lines. This role spans edge and server hardware, embedded and cloud applications, system utilities and infrastructure alignment. The Senior Engineer contributes technically, drives implementation excellence, and provides mentoring support to junior engineers. 2.1. Key Responsibilities1. System Design & Development Develop core software modules for edge and server environments including system services, APIs, and AI integration layers. Participate in the design of end-to-end architecture involving AI/CV models, sensor integration, and multi-platform deployment. 2. AI & Computer Vision Implementation Collaborate with data science teams to integrate AI/ML models into production pipelines. Optimize runtime performance and memory utilization for inference on edge devices (e.g., GPU, TPU, ARM platforms). 3. Hardware & Embedded Systems Coordination Ensure compatibility and performance alignment between software applications and underlying edge or server hardware. Work on low-level device interfaces, sensor control, and real-time data acquisition when required. 4. Application and Utility Development Contribute to the development of utilities for diagnostics, licensing, system configuration, remote updates, and monitoring. Ensure robust, user-oriented, and secure implementation of all services. 5. Infrastructure & Deployment Support Support infrastructure sizing and configuration based on AI workload profiles, latency requirements, and deployment architecture. Collaborate with DevOps for containerization, CI/CD setup, and deployment automation across environments. 7. Code Quality & Documentation Write clean, maintainable, and scalable code with unit tests and inline documentation. Participate in code reviews, performance tuning, and system debugging efforts. 8. Mentorship & Team Collaboration Provide technical mentorship to junior engineers and interns. Collaborate with product, QA, infrastructure, and hardware teams for coordinated execution. Show Less...Preferred Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Show Less...Preferred Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Show Less...Preferred Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Job Types: Full-time, Permanent Schedule: Fixed shift Monday to Friday Education: Bachelor's (Preferred) Experience: total work: 5 years (Preferred) C++: 5 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025

Sales Manager – AI based Surveillance Solutions We’re hiring a Sales Manager with experience in the AI-based surveillance industry across sectors like traffic, law enforcement, and retail. The ideal candidate should have strong knowledge of Intelligent Video Management Systems (VMS), Facial Recognition, ANPR, and other AI-driven video analytics solutions. Location: Noida / New Delhi / Gurgaon Type: Full-Time and Remote  Responsibilities: Drive sales & client acquisition Manage key relationships Expand into new markets Handle sales pipeline Conduct market analysis Requirements: 5+ years in sales with 2+ in AI based surveillance Industry. Expertise in AI video analytics & VMS Join us and be part of the future of smart surveillance.

The Senior Engineer AI & Edge Product Development holds the responsibility for designing, developing, integrating, and optimizing advanced technology components within AI and computer vision-based product lines. This role encompasses edge and server hardware, embedded and cloud applications, system utilities, and infrastructure alignment. As a Senior Engineer, you are expected to contribute technically, drive implementation excellence, and provide mentoring support to junior engineers. You will play a crucial role in system design and development by developing core software modules for edge and server environments, including system services, APIs, and AI integration layers. Additionally, you will participate in designing end-to-end architecture involving AI/CV models, sensor integration, and multi-platform deployment. Collaboration with data science teams to integrate AI/ML models into production pipelines and optimizing runtime performance and memory utilization for inference on edge devices such as GPU, TPU, and ARM platforms will be key aspects of your role in AI & Computer Vision Implementation. Ensuring compatibility and performance alignment between software applications and underlying edge or server hardware, working on low-level device interfaces, sensor control, and real-time data acquisition when required, fall under Hardware & Embedded Systems Coordination responsibilities. Your role will also involve contributing to the development of utilities for diagnostics, licensing, system configuration, remote updates, and monitoring. It is imperative to ensure robust, user-oriented, and secure implementation of all services under Application and Utility Development. Supporting infrastructure sizing and configuration based on AI workload profiles, latency requirements, and deployment architecture, and collaborating with DevOps for containerization, CI/CD setup, and deployment automation across environments are part of Infrastructure & Deployment Support responsibilities. Writing clean, maintainable, and scalable code with unit tests and inline documentation, participating in code reviews, performance tuning, and system debugging efforts will be essential in maintaining Code Quality & Documentation standards. In terms of Mentorship & Team Collaboration, you will provide technical mentorship to junior engineers and interns while collaborating with product, QA, infrastructure, and hardware teams for coordinated execution. The ideal candidate for this role should hold a Bachelors or Masters degree in Computer Science, Electronics, Electrical Engineering, or a related field, possess at least 3 years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems, and exhibit strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools, familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments, and exposure to regulated environments or mission-critical deployments are preferred attributes. This is a full-time, permanent position with a fixed shift schedule from Monday to Friday. The work location is in person, and the expected start date is 25/07/2025.,

You are an experienced Senior Embedded Engineer with 7-12 years of experience, and your primary responsibility will be to lead cross-functional hardware/software development projects focusing on camera systems and drone platforms. Your role will require in-depth technical knowledge in electronics hardware design, IT networking, and computer vision, along with strong leadership skills for managing a team of hardware developers and interns. In terms of leadership and strategy, you will be leading, mentoring, and managing a diverse team of hardware developers and interns. You will define project scopes, set objectives, and establish timelines to ensure alignment with business goals. Additionally, you will coordinate cross-functional initiatives between electronics, IT, network, and computer vision teams. Your role will also involve overseeing the design, development, and testing of advanced camera and drone systems. You will be driving the integration of hardware with embedded software, network connectivity, and computer vision modules while ensuring compliance with design standards, quality control, and regulatory requirements. As the main technical point of contact between engineering, product management, and external vendors, you will facilitate regular team meetings, technical reviews, and status updates to senior management. Furthermore, you will stay updated on industry trends in electronics, IoT, computer vision, and UAV technologies to encourage innovation in hardware design and system integration processes. To qualify for this role, you should hold a Bachelor's or Master's degree in Electrical/Electronics Engineering, Computer Engineering, or a related field. You must have at least 7 years of experience in hardware development, including 2 years in a leadership position. Your experience should include designing and integrating systems involving camera technologies, drones, or computer vision, as well as a solid understanding of IT networking protocols, embedded systems, and sensor integration. Proficiency in project management, communication, team-building, CAD tools, simulation software, and hardware debugging tools is essential. Familiarity with agile development methodologies would be advantageous. This is a full-time position located in Thiruvananthapuram, and you will be part of the Senior Embedded Engineer category.,

Brief Description We are seeking a dynamic and results-oriented Sales Manager with expertise in AI-powered surveillance systems. The ideal candidate will possess a robust background in sales and a deep understanding of advanced video analytics technologies, including facial recognition, automatic number plate recognition (ANPR), Video Management System (VMS) and other Video Analytics driven security solutions related to Traffic, law enforcement, retail chains etc. The Sales Manager will drive sales growth, manage client relationships, and position our cutting-edge surveillance products in the market. Job location: Delhi, India (Remote) Type: Full-Time and Remote Key Responsibilities: Client Acquisition Sales Strategy & Execution Relationship Management Market Expansion Sales Pipeline Management Qualifications: Experience: Minimum of 5 years in sales, with at least 2 years in the surveillance/security industry. Technical Knowledge: Strong understanding of AI-driven video analytics, including facial recognition, ANPR, object detection, and integrated video management systems.

You are expected to be well-versed in best practices in Object-Oriented Programming (OOP), design patterns, SOLID principles, clean code, and testing. Your experience in Java/Spring Boot and MySQL would be a strong advantage for this role. Being flexible and open-minded is essential, alongside a belief in lean and agile development methodologies such as Scrum and Kanban. Your passion for writing clean, beautiful code should be evident, with a keen eye for simplicity and pragmatism. You should have the ability to quickly grasp new systems and concepts. Understanding that quality is a team effort, not solely reliant on the QA engineer, is crucial. Regular peer/code reviews are expected from you, as well as optimizing existing code and code from other team members. Fluency in English is a requirement for effective communication within the team. Preferred skills include working on Progressive Web Applications, developing quality code for high-traffic web applications" front-end, and owning the entire development lifecycle. You should be adept at following and shaping processes that lead to the efficient creation of high-quality software. Collaboration within cross-functional and international agile teams is necessary. A data-driven approach, involving the analysis of feature impacts, hypothesis testing, and implementation of new solutions, is encouraged. This position falls under the Developer job category and is a full-time role based in Thiruvananthapuram. The ideal candidate should have 4 to 5 years of relevant experience.,

Brief Description The Technical Lead – AI, Embedded & Edge Systems is responsible for leading cross-functional engineering efforts in the design, development, and integration of AI-powered solutions across embedded hardware, edge/server devices, system software, and infrastructure components. The role bridges hardware-software co-design, system architecture, and execution leadership, ensuring delivery of scalable, high-performance, and secure computer vision and artificial intelligence and robotics products. 1.2. Key Responsibilities1. Technical Architecture & Design Lead end-to-end system design covering embedded hardware, edge/server platforms, and AI model integration. Define scalable and secure architectural frameworks for hardware-software interoperability, real-time processing, and data flow. 2. Embedded Systems & Hardware Solutioning Architect and develop embedded hardware systems (MCUs, SoCs, AI accelerators) for edge and server products. Supervise schematic reviews, PCB design validation, and bring-up of edge devices aligned with AI/CV use cases. 3. AI & Computer Vision Integration Coordinate with ML engineers to deploy and optimize CV models on heterogeneous hardware (GPU, IPU, NPU, SOCs etc.). Support model quantization, inference optimization, and real-time processing strategies on edge platforms. 4. Edge and Server Application Development Oversee development of core applications, services, middleware, and utilities on both embedded and server systems. Ensure fault-tolerant, modular, and interoperable implementations across deployment environments. 5. Infrastructure Recommendation & Integration Recommend compute, storage, and networking infrastructure for on-prem, hybrid, or cloud deployments based on application demands. Collaborate with DevOps and infra teams to establish deployment pipelines, configuration profiles, and monitoring strategies. 7. Team Leadership & Mentorship Lead and mentor a team of embedded engineers, application developers, and integration specialists. Conduct technical reviews, guide debugging sessions, and promote engineering best practices. 8. Stakeholder Collaboration Communicate and negotiate on technology and development aspects with product managers, architects, QA, and the peers in other organizations to ensure aligned development and seamless integration. Translate business requirements and user stories into actionable technical work plans. Preferred Skills Bachelor’s or Master’s degree in Electronics, Electrical, Computer Engineering, or related field. 5+ years of product development experience, preferably with embedded systems design and systems programming with at least 3 years in a technical leadership role. Strong expertise in embedded systems, circuit design, board bring-up, and firmware development. Proficient in Python, C/C++, and system-level programming with real-time constraints. Hands-on experience with edge AI deployment frameworks, embedded Linux, and driver development. Familiarity with infrastructure components (Docker, Kubernetes, CI/CD tools) Preferred Attributes Experience working on mission-critical or real-time AI/CV products (e.g., surveillance, robotics, smart infrastructure). Ability to navigate between low-level hardware issues and high-level application architecture. Strong documentation, communication, and team coordination skills. Exposure to regulatory or compliance-heavy product domains is an advantage. Job Types: Full-time, Permanent Education: Bachelor's (Preferred) Experience: total work: 5 years (Preferred) C++: 5 years (Preferred) Work Location: In person

Brief Description The Senior Engineer – AI & Edge Product Development is responsible for the design, development, integration, and optimization of advanced technology components within AI and computer vision-based product lines. This role spans edge and server hardware, embedded and cloud applications, system utilities and infrastructure alignment. The Senior Engineer contributes technically, drives implementation excellence, and provides mentoring support to junior engineers. 2.1. Key Responsibilities1. System Design & Development Develop core software modules for edge and server environments including system services, APIs, and AI integration layers. Participate in the design of end-to-end architecture involving AI/CV models, sensor integration, and multi-platform deployment. 2. AI & Computer Vision Implementation Collaborate with data science teams to integrate AI/ML models into production pipelines. Optimize runtime performance and memory utilization for inference on edge devices (e.g., GPU, TPU, ARM platforms). 3. Hardware & Embedded Systems Coordination Ensure compatibility and performance alignment between software applications and underlying edge or server hardware. Work on low-level device interfaces, sensor control, and real-time data acquisition when required. 4. Application and Utility Development Contribute to the development of utilities for diagnostics, licensing, system configuration, remote updates, and monitoring. Ensure robust, user-oriented, and secure implementation of all services. 5. Infrastructure & Deployment Support Support infrastructure sizing and configuration based on AI workload profiles, latency requirements, and deployment architecture. Collaborate with DevOps for containerization, CI/CD setup, and deployment automation across environments. 7. Code Quality & Documentation Write clean, maintainable, and scalable code with unit tests and inline documentation. Participate in code reviews, performance tuning, and system debugging efforts. 8. Mentorship & Team Collaboration Provide technical mentorship to junior engineers and interns. Collaborate with product, QA, infrastructure, and hardware teams for coordinated execution. Show Less...Preferred Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Show Less...Preferred Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Show Less...Preferred Skills Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field. 3+ years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. Practical experience with AI inference engines and edge deployment tools. Experience working on edge platforms and server-based deployment environments. Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. Preferred Attributes Self-motivated and technically curious with a hands-on problem-solving approach. Good understanding of hardware-software co-design, deployment constraints, and cross-platform development. Strong interpersonal skills with the ability to work collaboratively across disciplines. Exposure to regulated environments or mission-critical deployments is a plus. Job Types: Full-time, Permanent Pay: ₹600,569.68 - ₹1,867,607.92 per year Education: Bachelor's (Preferred) Experience: total work: 5 years (Preferred) C++: 5 years (Preferred) Work Location: In person

The Technical Lead AI, Embedded & Edge Systems is responsible for leading cross-functional engineering efforts in the design, development, and integration of AI-powered solutions across embedded hardware, edge/server devices, system software, and infrastructure components. This role involves bridging hardware-software co-design, system architecture, and execution leadership to ensure the delivery of scalable, high-performance, and secure computer vision, artificial intelligence, and robotics products. The key responsibilities of this role include leading end-to-end system design covering embedded hardware, edge/server platforms, and AI model integration. It also involves defining scalable and secure architectural frameworks for hardware-software interoperability, real-time processing, and data flow. Additionally, the Technical Lead will architect and develop embedded hardware systems for edge and server products, supervise schematic reviews, PCB design validation, and bring-up of edge devices aligned with AI/CV use cases. Furthermore, the Technical Lead will coordinate with ML engineers to deploy and optimize computer vision models on heterogeneous hardware and support model quantization, inference optimization, and real-time processing strategies on edge platforms. They will also oversee the development of core applications, services, middleware, and utilities on both embedded and server systems, ensuring fault-tolerant, modular, and interoperable implementations across deployment environments. In terms of infrastructure, the Technical Lead will recommend compute, storage, and networking infrastructure for on-prem, hybrid, or cloud deployments based on application demands. Collaborating with DevOps and infra teams to establish deployment pipelines, configuration profiles, and monitoring strategies is also part of the responsibilities. Team leadership and mentorship are essential aspects of this role, where the Technical Lead will lead and mentor a team of embedded engineers, application developers, and integration specialists. Conducting technical reviews, guiding debugging sessions, and promoting engineering best practices are key elements of team leadership. Effective communication and negotiation with product managers, architects, QA, and peers in other organizations to ensure aligned development and seamless integration is also crucial. Preferred skills for this role include a Bachelor's or Master's degree in Electronics, Electrical, Computer Engineering, or a related field, with at least 5 years of product development experience, preferably with embedded systems design and systems programming. Strong expertise in embedded systems, circuit design, board bring-up, and firmware development is required, along with proficiency in Python, C/C++, and system-level programming with real-time constraints. Hands-on experience with edge AI deployment frameworks, embedded Linux, and driver development is also preferred. Preferred attributes for this role include experience working on mission-critical or real-time AI/CV products, the ability to navigate between low-level hardware issues and high-level application architecture, strong documentation, communication, and team coordination skills, and exposure to regulatory or compliance-heavy product domains. This is a full-time permanent position that requires in-person work.,