Application Engineer (Surveillance Business Unit)

Job Synopsis:

Role Overview:

Key Responsibilities:

Pre-Sales & Solution Definition:

• Collaborate with Sales and Product Management to understand customer requirements and propose suitable camera or embedded vision solutions using e-con Systems’ products.
• Participate in technical discussions, requirement gathering, and feasibility assessments, translating customer needs into clear technical deliverables.
Support customer proof-of-concept (PoC) and evaluation activities to achieve design wins.

Integration & Design Support:

• Guide customers on hardware and software integration, including camera bring-up, image tuning, and performance optimization on embedded platforms.
• Work hands-on with NVIDIA Jetson, Qualcomm, or ARM-based embedded platforms, debugging and configuring Linux drivers (V4L2, GStreamer, MIPI, USB, GMSL, Ethernet).
Collaborate closely with internal engineering and QA teams to resolve issues and enhance product robustness.

Production & Post-Deployment Support:

• Assist customers during transition from prototype to production — resolving manufacturing, firmware, or image-quality-related challenges.
• Track and escalate recurring field issues, providing structured feedback to R&D for continuous improvement.
Maintain strong documentation for customer configurations and integration guides.

Product Enablement & Knowledge Sharing:

• Validate new camera modules, features, and SDK updates; provide actionable feedback to product and engineering teams.
• Conduct technical trainings for distributors, customers, and partners to enhance adoption of e-con’s products.
Contribute to application notes, FAQs, and demo content in collaboration with the marketing and technical writing teams.

Technical Skills:

• Solid understanding of Embedded Systems, Linux (kernel & user space), and driver-level debugging.
• Programming experience in C/C++ and Python, with working knowledge of shell scripting.
• Familiarity with camera and imaging technologies — Image sensors, ISPs, color tuning, exposure control, and video formats.
• Hands-on experience with vision interfaces (USB 3.0, MIPI CSI-2, GMSL, GigE Vision) and media frameworks (V4L2, GStreamer, OpenCV).
• Experience with AI inference on edge devices (Jetson / Qualcomm / NPU platforms) is a strong plus.
Understanding of networked video streaming, latency, and bandwidth optimization desirable for surveillance use cases.

Behavioral & Business Competencies:

• Customer-centric mindset – ability to translate technical complexity into business impact and actionable insights.
• Strong communication skills – articulate technical details clearly in written and verbal formats.
• Analytical problem-solving – structured debugging, root-cause analysis, and issue ownership.
• Collaboration & cross-functional alignment – comfortable working with Sales, Product, R&D, and QA teams.
• Adaptability – can handle changing priorities across geographies and projects.
• Continuous learning – proactive in exploring new camera technologies, edge AI frameworks, and embedded toolchains.
• Hands-on attitude – thrives in lab testing, PoC building, and direct customer interactions.
Documentation discipline – maintains organized records of test setups, configurations, and resolutions.

What Makes This Role Exciting:

• Be part of the Business Unit driving next-generation Smart Surveillance solutions.
• Work directly with global OEMs, system integrators, and AI solution providers.
• Opportunity to influence product roadmaps through direct customer feedback and field experience.
• Exposure to end-to-end camera solution lifecycle – from concept to deployment.