Engineering Manager

About the Role SuperQ is seeking a hands-on Engineering Manager to lead, scale, and guide the technical direction of the engineering team building the Super Platform,our AI-driven supercomputing environment integrating GPU, quantum, and parallel computing. In this role, you will sit at the intersection of people leadership and deep technical execution. You are a Systems Engineering expert who loves keeping their hands dirty in code, architecture, and infrastructure. You will directly manage a high-caliber team while driving deep expertise in either Backend Engineering, AI Infrastructure Engineering, or DevOps/Platform Engineering to ensure our hybrid classical-quantum stack is highly scalable, resilient, and performant. Responsibilities Team Leadership & Mentorship: Lead, mentor, and grow a diverse team of systems, backend, and platform engineers; foster a culture of ownership, high performance, and continuous learning. Hands-on Architecture & Execution: Remain technically active (approx. 50% management, 50% architecture/coding). Design and build robust, low-latency systems-level software to orchestrate heterogeneous compute resources (GPUs, QPUs, and CPUs). Systems Engineering Excellence: Drive the core platform architecture, focusing on distributed systems performance, memory management, high-throughput data streaming, and resource scheduling. Cross-Functional Optimization: Oversee and contribute deeply to at least one of our core pillar tracks: Backend: Scalable microservices, distributed state coordination, and high-performance APIs. AI Engineering: Large-scale GPU cluster orchestration, MLOps pipelines, and low-latency inference infrastructure. DevOps: Multi-cloud/hybrid infrastructure as code, automated hardware provisioning, and advanced CI/CD for complex workloads Delivery & Integration: Work closely with Quantum Algorithm Engineers and domain leads to translate advanced mathematical prototypes into robust, production-ready enterprise services. Agile Operational Ownership: Own the delivery roadmap, sprint planning, engineering metrics, and automated testing frameworks to ensure reliable, continuous deployments. Requirements Experience: 6+ years in a software or systems engineering environment, with at least 2 years of experience formally managing or leading engineering teams in a fast-paced environment. Core Proficiency: Strong background in Systems Engineering (e.g., distributed systems, kernel/OS concepts, concurrency, network protocols, or hardware-software co-design). Deep Domain Expertise: Proven track record and deep hands-on capability in at least one of the following domains: Backend: Mastery of modern languages like Go, Rust, C++, or advanced Python; deep understanding of gRPC, message brokers, and distributed databases. AI Engineering: Experience infrastructure-side with PyTorch, Triton Inference Server, CUDA-accelerated workloads, or orchestration of large-scale model training/deployment environments. DevOps Engineering: Advanced knowledge of Kubernetes (K8s) internals, Terraform/OpenTofu, service meshes, and bare-metal or hybrid-cloud infrastructure automation. Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience). Leadership Style: Strong empathetic leadership, excellent communication skills, and the ability to align technical teams with broader business strategies. Benefits Competitive salary with performance-based bonus structure. Stock options / equity participation – be part of the upside of a foundational platform in quantum + classical + AI. Flexible work arrangements – choose your Canadian/US location, hybrid office/remote as fits your style. Professional development budget: attend conferences (Quantum/AI/HPC), certifications, workshops. Access to cutting-edge hardware – quantum access, HPC clusters, GPUs for experimentation and personal innovation time. Work Culture We foster a collaborative research-meets-engineering environment: you will sit at the intersection of cutting-edge quantum methods and real-world systems. Flat organisation, open communication: bring ideas, experiment, iterate. Ownership mindset: you will own modules end-to-end, from prototype to production. Strong emphasis on learning, curiosity, and innovation – we expect you to push boundaries and help build the future of computing. Global & diverse team: though based in Canada, you’ll work across time zones collaborating with UAE, US, Europe. Focus on work-life balance: flexible hours, remote-friendly, and inclusive of personal commitments. SuperQ is committed to creating a workplace where everyone can thrive. We are an equal opportunity employer and make employment decisions based on merit, qualifications and business needs - without regard to race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.

Lead and mentor a diverse engineering team while remaining technically active in architecture and coding. Drive the core platform architecture and oversee the delivery roadmap to ensure reliable deployments.

Candidates should have 6+ years in software or systems engineering, with at least 2 years in a leadership role. A strong background in Systems Engineering and deep expertise in Backend, AI Engineering, or DevOps is required.

• Competitive Salary • Performance-Based Bonus Structure • Stock Options • Flexible Work Arrangements • Professional Development Budget • Access to Cutting-Edge Hardware

Identified from the job description. Confirm important requirements above.

• Systems Engineering
• Backend Engineering
• AI Infrastructure Engineering
• DevOps Engineering
• Microservices
• Distributed Systems
• Kubernetes
• Terraform
• Python
• Go
• Rust
• C++
• CUDA
• MLOps
• CI/CD
• Quantum Computing

• Technology
• Engineering
• Management & Leadership
• Data & Analytics
• Software

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Canada

Application method

Direct apply is available