Verification and Validation Developer - Infrastructure & Automation

Founded in 1998, Octasic is a privately held company headquartered in Montreal, Canada, with Research and Development facilities in Canada and India and a global sales support network. Octasic is a leading provider of SoCs (System on Chip), software and hardware integrated platforms for the global wireless and multimedia gateway markets. Our hardware and software platforms are the foundation for next-generation wireless systems for Defense, Law Enforcement and National Security Agencies.

We choose Octasic for

• A workplace at the cutting edge of technology to be in contact with wireless technology experts in a growing company;
• Competitive compensation (salaries, benefits, gym membership discount, stock options purchase program, public transit reimbursement, shower on the premises and beverages and snacks free every day);
• Work-life balance;
• Friendly and collaborative work atmosphere and many social activities all year long;
• Working for a company involved in its community;
• Proximity to various public transportation services (Angus Shuttle, 10 min. walk from Prefontaine station).

About the role

We are looking for a strong software-oriented engineer to help build and scale the infrastructure, tooling, automation, and observability capabilities behind our system verification and validation environments.

This role focuses on developing the software infrastructure required to automate system validation workflows, control devices under test (DUTs), orchestrate external lab equipment, manage telemetry and KPI collection, and support scalable regression and integration testing across complex wireless and embedded systems.

You will work closely with the following teams to create reliable, automated, and data-driven validation ecosystems supporting advanced communication platforms and mission-critical applications

• S oftware developers;
• system engineers;
• hardware teams;
• RF/lab engineers;
• verification & validation teams.

This is not a traditional QA role.

We are looking for engineers who enjoy building scalable automation systems, tooling infrastructure, telemetry workflows, and integration platforms in fast-evolving engineering environments.

What you'll do

Automation & Infrastructure Development

• Design, develop, and maintain scalable automation frameworks and validation infrastructure;
• Build software systems to automate validation workflows and regression testing;
• Develop Python/C++ tooling for: DuT control, UE interaction, external instrument orchestration, telemetry acquisition, KPI extraction, automated analysis;
• Integrate and automate communication with: Spectrum analyzers, signal generators, channel emulators, oscilloscopes, networking equipment, embedded systems, wireless devices.

Validation Platform Engineering

• Develop APIs, services, utilities, and orchestration layers supporting automated V&V workflows;
• Support complete test bench automation and system integration;
• Improve scalability, reliability, and maintainability of validation environments;
• Create reusable validation libraries, services, and tooling components.

Telemetry, Observability & Data Pipelines

• Develop telemetry ingestion and monitoring workflows using technologies such as: MQTT, Kafka, ETL pipelines, logging and tracing frameworks;
• Support observability and system monitoring workflows;
• Develop KPI extraction and automated analysis pipelines;
• Support dashboarding, reporting, and regression analytics.

CI/CD & Software Integration

• Integrate automated validation into CI/CD pipelines;
• Support automated deployment, execution, and reporting workflows;
• Collaborate with software teams to improve testability and release quality;
• Support regression automation and infrastructure scalability.

Debugging & System Integration

• Investigate integration and system issues using logs, traces, packet captures, telemetry, API analysis, network debugging;
• Work with development and system teams to isolate root causes and validate fixes;
• Support reproducibility of system and field issues in controlled environments.

Qualifications

• Bachelor’s degree in Computer Engineering, Software Engineering, Electrical Engineering, Computer Science, or equivalent practical experience;
• Strong software development skills in Python, C++, Bash/Shell scripting;
• Experience building: automation frameworks, validation tooling, software infrastructure, regression platforms, orchestration systems;
• Experience with CI/CD systems (Jenkins, GitHub Actions, GitLab CI, Azure DevOps), Git/version-control workflows, Linux environments, Docker/containerized execution;
• Experience with networking fundamentals, TCP/IP, Ethernet, API integration, system debugging;
• Familiarity with Wireshark, telemetry collection, observability concepts, log-based troubleshooting;
• Experience with Playwright, Pytest, automation frameworks, backend/API validation;
• Strong problem-solving skills and ability to work in evolving engineering environments;
• Eligible to obtain Canadian Security Clearance.

Key assets

• Experience with: wireless systems, LTE/5G, RF environments, embedded systems;
• Experience integrating lab instrumentation: spectrum analyzers, signal generators, VNAs, channel emulators, oscilloscopes;
• Experience with NI ecosystem tools such as TestStand, LabVIEW, PXI-based systems, SCPI/VISA instrument control, or automated measurement environments;
• Experience with: MQTT, Kafka, ETL/data pipelines, Grafana, Prometheus, observability stacks;
• Experience with: hardware/software integrated systems, telecom systems, aerospace, defense, mission-critical environments;
• Familiarity with: distributed systems, telemetry analytics, KPI-driven validation.

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