Distributed-Systems / Embedded-Comms Engineer

• Location: Pakistan
• Work Mode: Remote
• Employment: Full-Time
• Schedule: Eight hours per day, Monday to Friday, aligned with EST
• Start Date: Immediate within few days.
• Compensation: Based on experience and technical capability
• Client Interaction: Direct collaboration with an client

About the Role

Clearprise is seeking a Distributed-Systems / Embedded-Comms Engineer to build the core peer-to-peer communication and consensus systems behind a real-time drone deconfliction platform.

You will develop and harden the peer-to-peer mesh, Byzantine-fault-tolerant consensus, cryptographically signed identity, and degraded-mode behavior required for sub-50 millisecond deconfliction.

This is a hands-on systems-engineering role requiring strong knowledge of distributed systems, low-latency concurrent programming, embedded hardware constraints, networking, and applied cryptography.

Key Responsibilities

Distributed Systems and Consensus:

• Design, implement, and harden the peer-to-peer mesh network
• Develop Byzantine-fault-tolerant consensus mechanisms, including pBFT-style approaches
• Build deterministic real-time deconfliction logic
• Design systems that remain reliable despite node, communication, or positioning failures
• Test consensus behavior under packet loss, latency, node failure, and malicious or faulty participants

• Secure Communications
• Build cryptographically signed identity and anti-spoofing mechanisms
• Implement ECDSA-class signing, verification, and secure messaging
• Develop appropriate key-management and identity-validation processes
• Implement replay protection and message-integrity controls
• Identify and address practical security risks in node-to-node communication

• Embedded Networking and Performance

• Develop low-latency concurrent software using C++, Rust, or Go
• Optimize networking and consensus components for embedded or companion hardware
• Profile and tune systems for sub-50 millisecond performance
• Improve determinism, memory efficiency, CPU utilization, and communication reliability
• Build store-and-forward behavior for disconnected or degraded environments

• Resilience and Field Integration

• Design graceful-degradation behavior for RF congestion, packet loss, GPS denial, and intermittent connectivity
• Collaborate closely with the Robotics & Flight-Software Engineer
• Integrate the networking stack with the flying platform
• Support hardware-in-the-loop and real-world field validation
• Analyze logs, identify distributed failure modes, and implement corrective improvements

• Mandatory Requirements
• Strong distributed-systems fundamentals, including consensus, fault tolerance, and real-time networking
• Professional systems-programming experience in C++, Rust, or Go
• Experience writing low-latency, concurrent, and performance-sensitive code
• Practical understanding of peer-to-peer networking and distributed communication
• Applied cryptography knowledge covering digital signatures, key management, message integrity, and replay protection
• Ability to profile and optimize software for embedded or resource-constrained hardware
• Strong debugging and structured problem-solving ability
• Ability to work in a research-to-product environment with ambiguous requirements
• Ability to work independently with minimal oversight
• Strong professional English and international stakeholder communication
• Ability to work full-time during EST-aligned hours

Strongly Preferred

• Experience implementing Byzantine-fault-tolerant or pBFT-style consensus
• Experience building mesh-networking or peer-to-peer systems
• Experience with ECDSA or similar digital-signature systems
• Experience with sub-50 millisecond real-time systems
• Embedded or companion-computer experience
• Experience designing for RF-degraded or GPS-denied environments
• Store-and-forward networking experience
• Robotics, UAV, aerospace, or safety-critical systems experience
• Hardware-in-the-loop or field-testing experience

Ideal Candidate

The ideal candidate combines strong computer-science fundamentals with practical systems-engineering ability.

You can turn consensus, fault-tolerance, networking, and cryptographic concepts into reliable production code. You understand latency, concurrency, failure modes, embedded constraints, and the difference between a theoretical design and a system that must work consistently in the field.