engineering
Posted 1 weeks agoSenior Software Engineer - E3 - Instawork Robotics
at Instawork
Bengaluru, IndiaOn-site
Responsibilities
- Infrastructure & Video Pipelines: Architect and scale our cloud environments.
- Architect for Scale: Design and optimize data pipelines capable of securely processing petabytes of global video and telemetry data without bottlenecking.
- Guide mid- and senior-level engineers through code reviews, pair programming, and architectural discussions to raise the bar for engineering excellence. Who You Are
Requirements
- Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI.
- About IRL (Instawork Robotics Labs)
- Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from.
- Closing that gap is the defining infrastructure challenge of the physical AI era.
- We are looking for a highly versatile Senior Engineer with rock-solid fundamentals who can confidently tackle any problem across the tech stack.
- As a key engineering leader in our Bengaluru hub, you will own the technical execution for massive-scale physical AI training data, building out core systems like Instawork Lens (our global data collection platform) and Instawork Prism (our dedicated QA platform).
- experience in React as you are diving deep into AWS to tune heavy video transcoding pipelines.
- While we leverage agentic models heavily to accelerate our coding output, we rely on your deep engineering intuition, architectural expertise, and flawless fundamentals to ensure our systems are robust, scalable, and built the right way. What You’ll Do
- You will manage complex AWS infrastructure and ECS services for video transcoding, ensuring deep observability with precise telemetry across CPU, memory, network, and disk IOPS.
- AI-Leveraged Engineering: Use agentic models as a force multiplier to ship faster, relying on your deep engineering fundamentals to guide the AI, spot bad patterns, and make the final architectural decisions.
- Master of Fundamentals: You have 6+ years of software engineering experience.
- experience with full-stack development (Python, Django, React, or similar modern frameworks) and a willingness to learn whatever language or tool is needed for the job.