About The Company A high-growth foundation model startup headquartered in San Jose, California, operating at the intersection of two major platform shifts: foundation models and robotics.

The company is building the Claude Code for Physical AI: a robotic foundation model plus a physical agentic framework for reliable, long-horizon operations in industrial environments. It delivers semi-humanoid robots as a workforce for industrial applications.

Their Robots combine a robotic foundation model, force-aware manipulation, long-horizon reasoning, step-by-step execution verified against real operating procedures, and human-in-the-loop autonomy. The robot plans the job, executes each step, checks their work, and when it isn’t certain it doesn't guess—it escalates.

About The Team The team includes experienced executives and AI leaders from leading global technology companies across robotics, artificial intelligence, semiconductors, automotive, and enterprise technology.

Why join now You’ll be among the first engineers in the India team of a Silicon Valley deep tech startup. You’ll work on the same problems, with the same bar, as our team in San Jose. The India team is a core part of how we build models, data, and infrastructure, and you’ll own real pieces of the stack from your first quarter.

Here you’ll own significant components, work across the whole stack, contribute at the cutting edge, see your code move a robot, and grow as quick as the company does.

The physical AI field has shown broad competence across many tasks, and almost never 99.9% reliability on even one. That gap is the company. Closing it takes models that learn from demonstration and improve through practice, a data flywheel that turns every failure into training signal, and software that runs on real robots in real industrial environments.





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 escalate 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.

📌 Software Engineer - Gen AI & Robotics (Bengaluru)
🏢 MetAntz
📍 Bengaluru