Senior Engineering Lead - Edge AI Systems

Perleybrook Labs LLC; Ernakulam; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Perleybrook Labs LLC is seeking a hands-on Senior Engineering Lead to own delivery of Flagman, our edge AI computer vision platform deployed in industrial environments. You will lead a team of 6 engineers across embedded systems, ML/computer vision, and cloud infrastructure while staying in the code yourself.

This player-coach role requires owning planning, reviews, and on-time releases, with the credibility to unblock the team when needed.

Qualifications

• 8+ years of engineering experience with 2+ years in team leadership.
• Experience shipping hardware-adjacent or embedded products on committed timelines.
• Hands-on in at least two areas: embedded Linux/C++, ML inference, and backend services.
• Familiar with AI-assisted coding workflows and on-device testing.
• CI/CD for embedded targets and on-device testing.

Responsibilities

• Own project planning, sprint execution, and release timelines across embedded, ML, and infrastructure workstreams; mitigate risks with credible plans.
• Break ambiguous product requirements into scoped, estimable work and manage cross-track dependencies.
• Review and contribute code across the stack: Python ML pipelines, embedded Linux in C++, and backend services (Go, PostgreSQL).
• Lead design reviews for high-stakes changes and take on critical-path tasks when needed.
• Debug production issues on real hardware in the field.
• Manage, mentor, and grow the team: 1:1s, goals, feedback, performance conversations, hiring.
• Coordinate with field engineering on deployments and customer escalations.

Skills

Embedded Linux

C++

ML inference

Go

Python

PostgreSQL

Team leadership

Code review

Tools

GStreamer

systemd

Job description

Location: Kochi (on-site preferred) | Reports to: Head of Engineering / CTO

We’re looking for a hands-on Senior Engineering Lead to own delivery of Flagman, our edge AI computer vision platform deployed in industrial environments. You’ll lead a team of 6 engineers spanning embedded systems, ML/computer vision, and cloud infrastructure — while staying in the code yourself. This is a player-coach role: you’re accountable for timelines and release quality, and technically credible enough to unblock the team when it matters.

Responsibilities:

Own project planning, sprint execution, and release timelines across embedded, ML, and infrastructure workstreams; flag risks and slips early with credible mitigation plans.

Break ambiguous product requirements into scoped, estimable work and manage cross-track dependencies.

Review and contribute code across the stack: Python ML pipelines (detection, tracking, edge inference), embedded Linux in C++ (GStreamer, GPIO, systemd), and backend services (Go, PostgreSQL).

Lead design reviews for high-stakes changes and personally take on critical-path tasks when the team is stretched.

Debug production issues on real hardware in the field.

Manage, mentor, and grow the team: 1:1s, goals, feedback, performance conversations, and hiring.

Coordinate with field engineering on deployments and customer escalations.

Requirements (Must-have):

8+ years of engineering experience, with 2+ years leading a team.

Track record of shipping hardware-adjacent or embedded products on committed timelines.

Strong hands-on skills in at least two of: embedded Linux with C++ exposure, ML inference/deployment (PyTorch, ONNX), backend services (Go or Python, PostgreSQL) — and able to review code across all three.

Confident with AI-assisted coding workflows, using them to accelerate delivery without compromising quality.

CI/CD for embedded targets and on-device testing.