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Senior Software Engineer, Real-Time Edge and Cloud Systems

Maneva AI

  • Date Posted

    Today

    New!
  • Remote Work Level

    Hybrid Remote

  • Location

    Hybrid Remote in Toronto, ON, Canadaicon-canada.png

  • Job Schedule

    Full-Time

  • Salary

    We're sorry, the employer did not include salary information for this job.

  • Categories

    System AdministratorEngineeringSoftware EngineerQA

  • Job Type

    Employee

  • Career Level

    Experienced

  • Travel Required

    Yes

  • Education Level

    We're sorry, the employer did not include education information for this job.

About the Role

Title: Senior Software Engineer - Real-Time Edge & Cloud Systems

Location: Toronto ON CA

Workplace: Hybrid remote

Job Description:

About Maneva

Maneva, a startup founded by an ex-Google DeepMind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.

About the Role

We’re looking for a Senior Software Engineer to design, build, and sustain high-availability, fault-tolerant real-time systems that power connected industrial environments. You’ll work across both on-premise nodes and cloud backends, ensuring robust integration between hardware interfaces, data pipelines, and production infrastructure.

This role combines deep systems engineering with hands-on development — ideal for someone who thrives on debugging in production, optimizing low-latency performance, and building resilient distributed architectures that never go down.

What You’ll Do


  • Design and implement scalable, maintainable, and fault-tolerant software for real-time industrial applications.

  • Deploy and debug production systems, ensuring reliability and uptime across edge and cloud environments.

  • Integrate with hardware interfaces and manage data pipelines across hybrid environments.

  • Lead the design of resilient architectures, including circuit breakers, retries, and failover strategies.

  • Implement real-time monitoring, alerting, and observability tools (e.g., Prometheus, Grafana, ELK).

  • Own incident response and post-mortem processes, driving continuous reliability improvements.

  • Contribute to CI/CD, automated testing, and system-level QA to ensure consistent deployments.

  • Collaborate with AI, hardware, and infrastructure teams to deliver performant, deterministic systems.

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Travel: Up to 15% (primarily Quebec & Ontario, with regular opportunities for U.S. travel)

Requirements

What You Bring


  • 3–7 years of software engineering experience, including production deployment and debugging (not just academic or research projects).

  • Proven experience designing and implementing scaled production environments, ideally within remote real-time or IoT systems.

  • Strong programming skills in C/C++, Python, and TypeScript/React.

  • Hands-on experience with Linux-based development and production environments.

  • Solid understanding of networking, storage, and compute resources in on-prem environments (bare metal, VMs, Kubernetes clusters).

  • Experience building low-latency, deterministic systems with strict timing constraints.

  • Familiarity with embedded hardware systems and interfacing software with hardware components.

  • Expertise in monitoring, alerting, and observability frameworks (Prometheus, Grafana, ELK stack).

  • Strong skills in testing, CI/CD pipelines, debugging, and performance optimization.

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Benefits

Why Join Maneva?


  • Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation.

  • Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption.

  • Travel opportunities to customer sites across Quebec, Ontario, and the U.S., as well as industry events and conferences.

  • Collaborate with world-class engineers, AI researchers, and customer success professionals in a dynamic, innovation-driven environment.
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