Total 2,526 Senior Executive level Engineering job vacancies

Job Description: 

• Should be good in understanding the PCB board’s w.r.t layout schematics and information about the various active and passive components on the PCB.
• Good hands on BOM analysis and report preparation.
• Excellent debugging and Failure Analysis skills with exposure to tools like protocol analysers, Logical analysers, CRO etc. Should be good at reproducing and root causing the issues.
• Good Power analysis and Power tree Distribution Reverse engineering skills
• Good to have Experience in Storage Domain.
• Good to have Knowledge on the PCB Construction and Assembly details
• Good Experience in System level activities for hardware design and validation.
• Good to have Experience working with Flash memory technologies and internals.
• Good to have Experience in NVMe, SD/uSD, USB or PCIE protocols understanding.
• Mindset towards delivering the Highest Quality product to the customer.
• Must be execution focused, have zeal to learn more and do more. Take initiatives.
• Proven ability to achieve results in a fast moving, dynamic environment.
• Should be good team player, approachable with to do attitude.

Duties:

• Solve highly complex technical problems and deliver innovative, scalable, and maintainable solutions with minimal supervision.
• Implement architectural patterns and design standards, collaborating closely with key stakeholders to ensure adherence to defined architecture and best practices.
• Champion efficient and effective software development methodologies aligned with Agile and Lean principles, fostering continuous learning, collaboration, and iterative improvement.
• Contribute hands-on to development by designing, coding, reviewing, and optimizing critical software components and services.
• Drive adoption of DevOps practices and toolchains with a strong emphasis on automation, continuous integration, continuous deployment, and proactive operational monitoring.
• Embed security, reliability, scalability, and performance considerations into architecture, design, and development processes as non-negotiable quality attributes.
• Demonstrate deep expertise in modern platforms, frameworks, and tools, leveraging open-source technologies and open standards where appropriate to optimize cost and flexibility.
• Promote and enforce secure coding practices and the integration of security controls throughout the Software Development Life Cycle (SDLC).
• Serve as a technical bridge between engineering, QA, and other teams to design efficient testing strategies and enable high-quality, innovative delivery outcomes.

Job Description: 

• Should be good in understanding the PCB board’s w.r.t layout schematics and information about the various active and passive components on the PCB.
• Good hands on BOM analysis and report preparation.
• Excellent debugging and Failure Analysis skills with exposure to tools like protocol analysers, Logical analysers, CRO etc. Should be good at reproducing and root causing the issues.
• Good Power analysis and Power tree Distribution Reverse engineering skills
• Good to have Experience in Storage Domain.
• Good to have Knowledge on the PCB Construction and Assembly details
• Good Experience in System level activities for hardware design and validation.
• Good to have Experience working with Flash memory technologies and internals.
• Good to have Experience in NVMe, SD/uSD, USB or PCIE protocols understanding.
• Mindset towards delivering the Highest Quality product to the customer.
• Must be execution focused, have zeal to learn more and do more. Take initiatives.
• Proven ability to achieve results in a fast moving, dynamic environment.
• Should be good team player, approachable with to do attitude.

Role Summary:

We are seeking a Software Engineer to contribute to the development of AI/ML software for our AI Privacy Box platform. This role involves implementing and optimizing LLM and RAG workflows, with a focus on efficient use of storage and system resources.

Key Responsibilities:

• Develop AI/ML software components for the AI Privacy Box platform.
• Implement and integrate LLM and RAG models into the software stack.
• Work on performance optimization of AI workloads using storage and system‑level techniques.
• Contribute to system software components interacting with OS, memory, and I/O subsystems.
• Collaborate with senior engineers on architecture, design, and optimization.
• Debug, test, and maintain high‑quality, production‑ready code.

Required Skills:

• Knowledge of Machine Learning and AI/ML fundamentals.
• Exposure to LLMs and RAG concepts or frameworks.
• Proficiency in C and/or C++.
• Understanding of Operating Systems concepts.
• Strong knowledge of Data Structures and Algorithms.

Role Summary:

We are seeking a Software Engineer to contribute to the development of AI/ML software for our AI Privacy Box platform. This role involves implementing and optimizing LLM and RAG workflows, with a focus on efficient use of storage and system resources.

Key Responsibilities:

• Develop AI/ML software components for the AI Privacy Box platform.
• Implement and integrate LLM and RAG models into the software stack.
• Work on performance optimization of AI workloads using storage and system‑level techniques.
• Contribute to system software components interacting with OS, memory, and I/O subsystems.
• Collaborate with senior engineers on architecture, design, and optimization.
• Debug, test, and maintain high‑quality, production‑ready code.

Required Skills:

• Knowledge of Machine Learning and AI/ML fundamentals.
• Exposure to LLMs and RAG concepts or frameworks.
• Proficiency in C and/or C++.
• Understanding of Operating Systems concepts.
• Strong knowledge of Data Structures and Algorithms.

5 to 15 years of software engineering experience in C, C++ with strong emphasis on software architecture and design in the Unix/Linux based platforms.

Experience with OpenWrt and/or embedded Linux.

Experience with network programming and concurrent/multithreaded programming.

Demonstrated experience in Networking (TCP/IP,UDP) and troubleshooting expertise.

Solid understanding of foundational computer science concepts related to software architecture, basic algorithms, and data structures.

Experience in working in Agile/Scrum and DevOps environments.

Strong oral and written communication skills.

Preferred Skills:

Knowledge on tools like Jenkins, JIRA, Perforce and Git.

Experience with bash and Python scripting in Linux.

Experience with telecom/networking/satellite/wireless communications, wimax and protocol development.

Experience working in cloud environment.