Senior Engineer – AI, CV & Edge Product Development

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