Job Title: Systems Engineer
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
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Define and document system-level requirements, identifying and assessing applicable ISO/IEC standards.
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Develop and maintain system architecture documentation and interface definitions.
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Create and maintain a Requirements Management Plan, outlining the structure and traceability of:
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Customer Requirements
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System Requirements
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Interface Requirements (including third-party hardware)
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Software Requirements
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Hardware Requirements
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AI/Computer Vision Model Requirements (performance, accuracy, latency)
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Verification & Validation (V&V) requirements
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Establish and maintain clear ownership of requirements and deliverables between internal teams and external partners.
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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).
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Oversee compliance testing activities and provide guidance on applicable standards and regulatory requirements.
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Develop system verification plans, test protocols, and reports, and conduct end-to-end system testing, including validation of AI/vision pipelines.
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Collaborate with hardware and software engineering teams to ensure system reliability and performance.
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Work with hardware engineers to define reliability testing scenarios and ensure appropriate validation coverage.
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Work closely with AI/ML teams to define data pipelines, model integration, inference workflows, and performance optimization on edge/GPU systems.
Required Skills & Experience
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Strong experience in systems engineering, requirements management, and system architecture documentation.
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Knowledge of ISO/IEC standards and compliance processes.
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Experience in risk management, hazard analysis, and system verification & validation (V&V).
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Basic to intermediate understanding of AI/ML systems, particularly computer vision and video processing pipelines.
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Familiarity with integrating AI models into production systems (edge or cloud).
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Ability to work with cross-functional teams and third-party vendors.
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Strong analytical, documentation, and problem-solving skills.
Preferred Qualifications
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Experience with video processing systems in operating room (OR) environments or similar high-reliability systems.
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Familiarity with medical device systems, imaging systems, or complex hardware-software integrated environments.
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Exposure to computer vision systems using cameras.
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Experience collaborating with hardware and software engineering teams in regulated industries.
