Software Engineer, Gen AI & Robotics

MetAntz; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

MetAntz is hiring a Software Engineer for Gen AI & Robotics in Bengaluru to build production software that turns robots into reliable products. You will own both the robot software and related cloud services, enabling end-to-end orchestration, data handling, and user-facing dashboards.

You will work on ROS-based perception/control, agentic planning, and multimodal data tooling, collaborating with ML and data teams to deploy scalable robotic solutions in real-world settings.

Qualifications

• 5+ years of experience delivering production software.
• Owns end-to-end system design, shipping, operation, and paging history.

Responsibilities

• Build ROS-based on-robot stack for perception, control, and task execution.
• Develop cloud planners and fleet orchestration to schedule tasks across robot fleets.
• Create data ingestion, storage, indexing, and retrieval for multimodal robot data.
• Work on agentic frameworks and tool use with memory, recovery, and human-in-the-loop handoffs.
• Integrate robot hardware with software across multiple interfaces and dashboards.

Skills

Python

C++

Rust

Go

TypeScript

Education

B.Tech / M.Tech / PhD (CS or EE)

Tools

ROS 2

GCP/AWS

Kubernetes

Docker

Databases

Job description

Software Engineer, Gen AI & Robotics

About The Role

You’ll build the software that turns a capable robot into a product customers rely on, from building the Claude code like agentic harness, the cloud services and data infrastructure down to the robot software itself.

What You’ll Work On

• On-robot software and hardware integration: Build the ROS-based stack for perception, control, and task execution. Bring up and integrate robot arms, sensors, cameras, and teleop rigs.
• Physical agentic framework: Build agents that turn a job into a plan of steps, execute each one, verify it against real operating procedures, and escalation to a human when unsure. Build in tool use, memory, failure recovery, and human-in-the-loop handoffs.
• Cloud planners and fleet orchestration: Build services that break work orders into tasks, schedule them across robot fleets, and track progress and exceptions in real time.
• Vertical integrations and product: Connect our agents to each industry’s existing systems, such as data center management, ticketing, maintenance workflows, and manufacturing execution systems. Build customer-facing dashboards, job setup, and audit trails.
• Data infrastructure and tooling: Build ingest, storage, indexing, and retrieval for large volumes of multimodal robot data. Build the tools our data operations team uses daily for capture, review, and annotation.
• Training and evaluation infrastructure: Partner with ML engineers on job orchestration, compute management, and reproducible pipelines.

What We’re Looking For

Minimum

• 5+ years of experience building and shipping production software, with a B.Tech, M.Tech or PhD in Computer Science, Electrical Engineering, or a related field
• A track record of owning a system end to end you’ve designed it, shipped it, operated it, and been paged for it, and you can tell us what you’d do differently
• Strong fundamentals in linear algebra, data structures, algorithms, operating systems, databases and distributed systems design
• Fluency in Python and at least one of C++, Rust, Go, or TypeScript, with real depth in whichever you’d call your main language
• Experience with backend services, APIs, and cloud infrastructure (AWS or GCP, containers, databases) in a production setting
• Strong software engineering habits you write code others can build on, and hold a high bar for code quality.

Preferred

• Experience with ROS 2, real-time, or embedded software shipped to hardware in the field
• Experience bringing up robot hardware drivers, sensor and camera integration, calibration
• Experience building production systems with LLMs and agents tool use, planning, and evaluation
• Experience deploying ML models to edge compute (Jetson, ONNX, TensorRT, quantization)
• Experience with ML infrastructure training orchestration (Kubernetes, Slurm, Ray), GPU clusters, experiment tracking, or model serving
• Experience with large-scale multimodal data pipelines (object storage, Ray or Spark, Parquet, dataset versioning)
• Experience with robot simulation at scale (Isaac Sim, MuJoCo)
• Experience in robotics, autonomous vehicles, or industrial automation
• Experience mentoring engineers or leading technical efforts

What We Value

• Ownership. You finish things. A result that doesn’t run on the robot isn’t finished.
• Rigor. You catch the subtle bug that the dashboard says is fine.
• Range. You’re as willing to debug a data pipeline or a ROS node as a training run.
• Speed of learning. There’s no playbook. You’ll be learning new parts of the stack every month.
• Ambition. You want to build something that matters at the frontier of AI and robotics.
• Clear communication. You’ll work daily across San Jose, Bengaluru, and our data operations team in Nepal.