Location: Pune (Onsite) Experience: 6+ Years Employment Type: Full-Time
About Us:
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
Role Overview
We are seeking a skilled Systems Engineer responsible for defining and managing system-level requirements, ensuring compliance with relevant standards, and overseeing system verification and validation activities. The role involves working closely with product owners, engineering teams, and third-party vendors to ensure successful delivery of integrated systems, including AI and computer vision-based solutions.
Key Responsibilities
Define and document system-level requirements, identifying and assessing applicable ISO/IEC standards.
Develop and maintain system architecture documentation and interface definitions.
Create and maintain a Requirements Management Plan, outlining the structure and traceability of:
AI/Computer Vision Model Requirements (performance, accuracy, latency)
Verification & Validation (V&V) requirements
Establish and maintain clear ownership of requirements and deliverables between internal teams and external partners.
Maintain the product risk management file, including risk management plans, system hazard analysis, and risk reports (including AI-related risks such as model accuracy, bias, and failure scenarios).
Oversee compliance testing activities and provide guidance on applicable standards and regulatory requirements.
Develop system verification plans, test protocols, and reports, and conduct end-to-end system testing, including validation of AI/vision pipelines.
Collaborate with hardware and software engineering teams to ensure system reliability and performance.
Work with hardware engineers to define reliability testing scenarios and ensure appropriate validation coverage.
Work closely with AI/ML teams to define data pipelines, model integration, inference workflows, and performance optimization on edge/GPU systems.
Required Skills & Experience
Strong experience in systems engineering, requirements management, and system architecture documentation.
Knowledge of ISO/IEC standards and compliance processes.
Experience in risk management, hazard analysis, and system verification & validation (V&V).
Basic to intermediate understanding of AI/ML systems, particularly computer vision and video processing pipelines.
Familiarity with integrating AI models into production systems (edge or cloud).
Ability to work with cross-functional teams and third-party vendors.
Strong analytical, documentation, and problem-solving skills.
Preferred Qualifications
Experience with video processing systems in operating room (OR) environments or similar high-reliability systems.
Familiarity with medical device systems, imaging systems, or complex hardware-software integrated environments.
Exposure to computer vision systems using cameras.
Experience collaborating with hardware and software engineering teams in regulated industries.
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