Maneva is looking for a Software Engineer to build, deploy, and support the AI software systems that power our customer-facing deployments in industrial environments. As a fast-growing startup founded by an ex-Google Deepmind researcher, you will work with world-class engineers and AI researchers to develop production-ready software stacks and deliver reliable AI applications.
What You'll Do
- Support software deployment for customer projects, across edge and cloud environments.
- Build and maintain custom software modules, services, and integrations required for specific customer applications.
- Develop and operate backend services and infrastructure supporting real-time vision and AI systems.
- Optimize software performance for real-time inference, low latency, and resource-constrained environments.
- Support deployment pipelines, configuration management, and versioned releases.
- Collaborate with Deployment Engineers to debug and resolve issues in live production environments.
- Implement monitoring, logging, and observability to ensure system reliability and uptime.
- Contribute to CI/CD pipelines, testing, and deployment automation.
- Document software configurations, deployment processes, and customer-specific customizations.
- Support and extend user-facing interfaces that interact with deployed AI applications, including dashboards, controls, and operational tooling.
- Collaborate with backend, deployment, and ML teams to integrate frontend applications with edge and cloud services.
- Support edge device fleet operations, including activity tracking, health monitoring, and deployment status visibility across customer sites.
What We're Looking For
- Degree in Computer Science, Software Engineering, or equivalent industry experience.
- Strong experience supporting production software deployments and feature development.
- Experience with cloud and/or edge infrastructure, including Linux-based systems.
- Solid backend development skills in Python, C/C++, or equivalent.
- Experience with implementing image processing and computer vision applications with tools such as OpenCV.
- Familiarity with DevOps practices: CI/CD, containerization, configuration management.
- Ability to debug issues across application code, infrastructure, and runtime environments.
- Strong collaboration skills with hardware, deployment, and customer-facing teams.
- Willingness to travel to customer deployments in Canada and the United States as needed.
Nice to Have
- Full-stack or frontend web development experience, particularly with TypeScript and React, to support user interfaces and operational tools for deployed AI applications.
- Prior experience working with fault-tolerant edge AI systems in production environments.
- Experience with edge fleet management, including device provisioning, lifecycle management, health monitoring, and remote updates.
- Familiarity with tracking edge device activities, telemetry, logs, and operational metrics across distributed deployments.
- Experience deploying and maintaining software on distributed, intermittently connected, or resource-constrained edge devices.
- Experience with real-time systems or low-latency applications.
- Expertise in inference optimization (model serving, performance tuning, hardware acceleration).
- Familiarity with Docker, Kubernetes, or lightweight orchestration at the edge.
- Exposure to monitoring and observability tools (Prometheus, Grafana, ELK, etc.).
- Experience working in industrial, robotics, or manufacturing environments.
- Prior work in startup or fast-paced customer-facing engineering teams.
Technical Stack
- Languages & Libraries: Python, C/C++, TypeScript, React, OpenCV
- Platforms & Infrastructure: Linux
- DevOps & Tools: Docker, Kubernetes, Prometheus, Grafana, ELK
Team & Environment
You will work closely with Deployment Engineers, Systems Design, ML, and Infrastructure teams.
Benefits & Compensation
- Build software powered by AI that runs in real factories, not just dashboards.
- Own deployment-critical systems with direct customer impact.
- Work across edge, cloud, and real-time AI systems.
- Collaborate with world-class engineers and AI researchers in a fast-growing startup.
Work Mode
This is an onsite position open to candidates in Canada and the United States.
Maneva is an equal opportunity employer.
