Mission

Founding Embedded & Safety Systems Engineer

Greater Delhi Area (Hybrid) Full TimeFounding Engineer

Xolver builds intelligence for physical machines: systems that understand changing work, predict likely outcomes, check actions before movement, run close to the machine, and leave records people can review.

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Why this role matters

We need the local operation and safety-checking systems that make intelligent machine behavior practical around real equipment.
Xolver / Infrastructure for Autonomy
Role Context

What this role actually is.

Neural networks can be useful, but the physical world requires clear operating boundaries. As a Founding Embedded & Safety Systems Engineer, you are responsible for the systems that keep important behavior close to the machine, check proposed actions before movement, preserve machine health, and produce records operators can trust. You will be the bridge between model research, product workflows, and the high-performance C++/Rust systems that run near equipment. You will build the local operation and safety-checking layers that keep intelligent machines reviewable, resilient, and ready for real deployment paths.
Scope of Work

The Actual Work.

01

Safety Checks Before Movement

Design and implement the local checks that keep proposed machine behavior inside approved operating envelopes.

02

Local Operation

Build reliable C++ or Rust systems that run close to machines and preserve fast response, resilience, and reviewable records.

03

Edge AI Optimization

Optimize model inference for local operation while preserving response, reliability, and safety constraints.

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 physical machines need clear operating boundaries, careful timing, and reviewable behavior. You might have a background in autonomous vehicles, aerospace, industrial robotics, or other safety-critical systems where latency and reliability have real 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 robotics middleware and industrial communication patterns.
  • 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.

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