System Architect

Sanctuary in Vancouver, BC

Your New Role and Team
Sanctuary AI is looking to hire a System Architect reporting to the Director of Software Engineering. Get ready to join a world-class multidisciplinary team of researchers & engineers. In this role, you’ll oversee system-level design, providing guidance to applications and infrastructure teams, and support activities required to build, maintain, and automate a large, technically sophisticated on-premise and cloud-based platform.

You’ll also lead and engage in the design of the robot's cognitive architecture, data bus, and essential services, optimize existing technologies and system capabilities, and conduct technical reviews of core system components.

The best candidates for this role have extensive experience in designing and implementing complex platforms and applications, including but not limited to cloud-based environments. Ultimately, you'll be a valued resource as you partner with senior leaders and technical leads in improving engineering standard methodologies toward ensuring performance, reliability, and measurability at scale.
Working at Sanctuary
Sanctuary is an equal opportunity employer; employment with Sanctuary is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
Benefits
Full time employees enjoy medical/dental/vision, life insurance, wellness programs, stock options, paid time off (vacation, paid holidays, sick time, and parental leave), scheduling and worksite flexibility by role, and more.

About Sanctuary
Founded in 2018 by Geordie Rose, Suzanne Gildert, Olivia Norton, and Ajay Agrawal, Sanctuary is a Vancouver, Canada-based company. Sanctuary is on a mission to create the world’s first human-like intelligence in general-purpose robots that will help us work more safely, efficiently, and sustainably. And in the not-too-distant future, help us explore, settle, and prosper in outer space.

Members of the Sanctuary team founded D-Wave (a pioneer in the quantum computing industry), Kindred (first use of reinforcement learning in a production robot), and the Creative Destruction Lab (pioneered a revolutionary method for the commercialization of science for the betterment of humankind). The team has experience launching market-defining innovations rooted in previously unsolved and deep scientific problems.




Recruiting & Employment Agency Notice:
Recruitment and hiring is conducted internally by Sanctuary. We are not seeking or soliciting any new agency partnerships or agreements at this time . Any employment agency or professional recruiter (“Agency”) that provides an unsolicited resume(s) or otherwise presents a prospective job candidate through the Sanctuary career site or directly to any Sanctuary employee, irrevocably grants to Sanctuary the unrestricted right to engage, hire, or contract with that candidate at Sanctuary’s sole discretion without any compensation to the Agency. We appreciate your interest in working together, and should the need arise our Talent Acquisition team will contact any external firms directly.

    • Transform product requirements into optimized technical blueprints, architectural plans, and designs
    • Analyze corporate goals and provide robust, scalable, and reliable system designs to drive agile implementation
    • Participate in cross-team meetings, scoping, and technical decision-making
    • Identify and evaluate proposed solutions' benefits, risks, mitigations, and provide data-driven recommendations
    • Recommend new technologies to ensure quality and productivity
    • Balance top-down declaration and bottom-up collaboration
    • Bring hands-on experience developing, maintaining, and upgrading software applications
    • Act as the technical liaison between research, product, engineering, deployment, security, and system-level testing teams
    • Lead design reviews and recommend systems improvements
    • Guide engineers during system-level and component testing to ensure fidelity against architectural design and acceptance criteria
    • Tap into your leadership skills as you document, communicate, and enforce engineering best-practices and operating procedures

      • Your Qualifications & Skills
      Qualifications
    • 10+ years of experience in the large-scale systems, automation, and machine-learning industry
    • 5+ years of experience in project feasibility, definition requirements, design, and project leadership
    • Demonstrated knowledge of the conceptual design principles, network architecture, and the complex inter-relationships between hardware components deployed on-premises and software components deployed on edge and cloud platforms
    • Demonstrated experience designing and implementing an architecture for a complex global product
    • Thorough experience in building cloud-based solutions in AWS/GCP/Azure
    • Solid knowledge of network communication protocols such as IP, TCP, UDP, HTTP, MQTT, DDS, etc.
    • Deep experience in container and orchestration technology (Docker, Kubernetes, etc.)
    • Working knowledge of distributed data streaming platforms (for example, Kafka, Amazon Kinesis, Apache Spark, etc.)
    • Strong understanding of distributed data storage (for example, MongoDB, DynamoDB, S3, etc.)
    • Experience in developing software solutions to comply with SOC 1, 2 and SOC 3
    • Experience with various coding languages ( C, C++, Python, Java, etc.)

      • Skills
    • In-depth knowledge of system architecture assessments, integrated design, and installation of components to ensure that relevant safety and compliance requirements are met
    • Systems engineering, integration, and root cause analysis skills for hard-to-solve system issues
    • Ability to work effectively with hardware and software departments to understand their needs, gaps, and timelines
    • Excellent problem-solving and communication skills
    • Excellent organizational and process documentation skills

      • Traits
    • Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems.
    • Optimistic listening and conflict resolution capabilities
    • Demonstrated ability to influence others without authority
    • Eager to take on new challenges with tenacity and positivity
    • Patience, persistence, and attention to detail when resolving performance issues
    • Obsession with bringing human-like intelligence to machines

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