Mission

Founding Embedded & Safety Systems Engineer

Greater Delhi Area (Hybrid) Full TimeFounding Engineer

Xolver AI is at the forefront of innovation, driving advancements at the intersection of AI, robotics, computer vision, and generative AI. Our mission is to design cutting-edge solutions that transform industries and make a meaningful impact on society. By leveraging state-of-the-art technologies, we develop groundbreaking products to redefine automation and intelligent systems, unlocking new possibilities for the future of Physical Intelligence.

Why this role matters

We are building the "nervous system" and the "shield" of our platform, ensuring that high-level intelligence is executed with microsecond precision and absolute safety.
Xolver / Infrastructure for Autonomy

Role Context

What this role actually is.

Neural networks are probabilistic, but the physical world requires guarantees. This role is about building the "nervous system" and the "shield" of our platform. As a Founding Embedded & Safety Systems Engineer, you are responsible for ensuring that the high-level intelligence generated by our models is executed with microsecond precision and absolute safety. You will be the bridge between the heavy Python-based research coming out of LeRobot and the high-performance, deterministic C++/Rust runtimes that live on the edge. You will build the deterministic enforcement layers that prevent collisions and ensure auditable, safe machine operations, even when the AI encounters an edge case.
Scope of Work

The Actual Work.

01

Deterministic Safety Layers

Design and implement the "enforcement layer" that acts as a hard-coded safety governor, mathematically ensuring the robot stays within safe operating envelopes.

02

Embedded Runtime Development

Build ultra-low-latency runtimes in C++ or Rust to execute complex foundation models on edge compute hardware like NVIDIA Jetson (Orin/Thor).

03

Edge AI Optimization

Optimize model inference for the edge using TensorRT, ONNX, and CUDA to ensure we maintain high control frequencies (kHz range).

04

Systems Integration & RTOS

Interface with Real-Time Operating Systems (RTOS) and manage low-level drivers to ensure hardware-software synchronization is flawless.

05

Auditability & Fault Logic

Develop the logging and diagnostic systems that make physical AI operations "auditable," creating a transparent trail of decisions.

Who tends to fit

You are a systems purist who believes that if it isn't deterministic, it isn't ready for the real world. You might have a background in autonomous vehicles, aerospace, or high-frequency trading—anywhere where a millisecond of latency has massive consequences.

What we expect

  • Systems Programming: Exceptional proficiency in C++ and/or Rust.
  • Edge Compute: Deep experience with NVIDIA’s Jetson ecosystem, CUDA, and TensorRT optimization.
  • Safety Mindset: Familiarity with safety-critical software design and formal methods for verification.
  • Architecture: Knowledge of Real-Time Operating Systems (RTOS) and low-level memory management.
  • Middleware: Experience with ROS2 (specifically the C++ implementation) and DDS protocols.
  • Preferred: Experience with industrial safety standards (ISO 26262 or similar).
  • Preferred: Background in compilers or porting ML models from Python/PyTorch to C++.
  • Preferred: Familiarity with hardware-in-the-loop (HIL) testing.
Application

Ready to architect the
future of autonomy?

Share your CV at hello@xolver.ai.