Lead the architecture and development of Quo’s AI Agent Platform, driving performance, reliability, and scalability while mentoring engineers and collaborating across teams.
Locations (2)
United States
Canada
Compensation
The annual base salary range for this position is as follows, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $205,000 - $242,000 USD
- All other US Locations: $186,000 - $217,000 USD
- Canada: $189,000 - $222,000 CAD
Responsibilities
Own the architecture of the agent platform
Build advanced orchestration for multi-agent coordination
Design memory and self‑learning for agents
Drive scale, performance, reliability and cost of agent execution
Make the platform easy for other teams to build on
Requirements
Nice to have: LLM
Nice to have: agent platform
Nice to have: workflow engine
Nice to have: real‑time communications infrastructure
As a Staff Backend Engineer, you'll be hands-on and writing production code, working closely with the Foundations lead. You'll stay on one team but spend a lot of your time alongside other teams, helping them adopt a new pattern, writing code with them and making sure it works for their part of the product. This isn't a feature team role, and it isn't DevOps or SRE either. It's backend engineering whose impact shows up across the whole of Quo.
Locations (2)
United States
Canada
Compensation
The annual base salary range for this position is as follows, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $205,000 - $242,000 USD
- All other US Locations: $186,000 - $217,000 USD
- Canada: $189,000 - $222,000 CAD
Responsibilities
Lead the technical work on our REST to GraphQL migration, building the core pieces yourself and the patterns that let every other team finish theirs.
Shape how our GraphQL architecture grows, including breaking one large graph into supergraphs and subgraphs that teams can own and change independently.
Help rework authentication and authorization across Quo, working directly with each team it touches and writing code alongside them.
The Connect team is the front door for everything that talks to Quo without a human clicking in the app: the public API, MCP, OAuth, webhooks and integrations with tools like HubSpot, Jobber and Clio. This is the first true staff role on the team. You'll be the technical voice for Connect: the person who sets the architecture, fields the questions from product, partnerships and leadership, and makes it easy for every other team at Quo to ship through the API.
Locations (2)
United States
Canada
Compensation
The annual base salary range for this position is as follows, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $205,000 - $242,000 USD
- All other US Locations: $186,000 - $217,000 USD
- Canada: $189,000 - $222,000 CAD
Responsibilities
Build the system, and the relationships, that let any team at Quo add their feature to the public API in a day or two, then get the rest of engineering to actually use it
Own the long-term architecture for the API platform
Be the technical point of contact for partnerships, product and leadership on what the API and integrations can do, set expectations, and protect the roadmap when a request would derail it
Lead AI research and development for physical AI and robotics within Georgian’s AI Lab, driving research, portfolio acceleration, and technical due diligence.
Responsibilities
Conduct research on next-generation robot learning models
Translate research into practical tools and papers
Accelerate portfolio companies’ robot-learning software from pilot to production
Collaborate with CTOs and autonomy leads on deployment metrics
Perform technical due diligence on physical AI companies
Contribute to coding assignments that enhance embedded platform and application software, create and execute tests, collaborate with team members following Agile development practices, participate in high level design, automated testing, and apply feedback to improve software quality, troubleshoot and resolve software issues, learn and apply modern development workflows and tools, and embrace AI tools and technologies at every step of the software design lifecycle while gaining hands‑on experience with real‑time embedded systems.
Compensation
The annual pay range for this role is $72,000 - $115,000.
Responsibilities
Contribute to coding assignments that enhance embedded platform and application software
Create and execute tests to validate new capabilities
Collaborate with team members following Agile development practices
Participate in high level design, automated testing, and apply feedback to improve software quality
Troubleshoot and resolve software issues
Requirements
degree program in Engineering or Computer Science
Nice to have: AI tools
Nice to have: GitHub Copilot
Nice to have: test case generation
Nice to have: designing and implementing AI agents and workflows
Work term of 4 months starting in January 2027, focusing on building and evaluating prototypes such as DRC-clean parameterized layout generators or surrogate models that predict layout results without a full verification run.
Compensation
The pay range for this position is $25.50 - 43.00.
Responsibilities
Prototype machine learning and optimization methods for placement, routing and layout synthesis of RFIC and analog blocks
Build layout generators, including parameterized cells (PCells), that follow geometry, topology and foundry design rules
Build surrogate models and design-space-exploration frameworks so designers can compare options without running every candidate through the full flow
Own the data pipeline end to end, including generating layout datasets, training models and measuring the results
Write well-tested software components in Python and C++
Requirements
Master’s or PhD program in Electrical Engineering, Computer Engineering, Computer Science, EDA/CAD, Applied Mathematics or a related field
Design, test, and verify receiver optical-to-electrical modem subsystems within coherent optical modem products.
Compensation
Pay Range: The annual salary range for this position is $96,600 - $154,400 CAD.
Responsibilities
Design, test, and verify receiver optical-to-electrical modem subsystems within coherent optical modem products.
Collaborate with systems, test, ADC, DSP, PCB, firmware, production, and product engineers to integrate modem technologies.
Develop Matlab code to calibrate and perform design verification testing for prototype and early production modem subsystems.
Create, debug, improve, and optimise calibration and verification procedures within an existing Matlab codebase.
Investigate receiver hardware and test station issues, develop instrumentation drivers and algorithms, and analyse manufacturing data to improve yield and throughput.
Requirements
Advanced degree (MSc or PhD) in Engineering or Physics
Own the end-to-end ML lifecycle, from dataset creation and foundational research to building and deploying production-grade models.
Responsibilities
Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems.
Build and manage efficient pipelines for rapid experimentation and hypothesis testing.
Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights & Biases.
Deploy models into production environments using CI/CD practices and model serving frameworks.
Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability.
Requirements
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field
AI Tech Lead - Physical AI & RoboticsNewGeorgian Partners Growth · Toronto, Canada
Embedded Software Developer DSP ApplicationsNewSonova Group · Kitchener, Canada
Machine Learning EngineerNewExaCare AI · Canada