COMPENSATION: Output-based, with payment per task that meets project specifications.
Responsibilities
Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios.
Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods.
Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving.
Use programming and engineering software to model, simulate, analyze, and validate hardware systems.
Develop Python scripts and other computational tools to automate engineering calculations and validation workflows.
Requirements
Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline.
We are building an AI-centric engineering platform where brands operate as self-reliant, B2B-style customers. You will own product features end-to-end across the full stack — leveraging AI agents to multiply delivery throughput — while architecting robust, highly-available systems on a stable, brand-agnostic platform.
Locations (2)
Vaughan, Ontario, Canada
Concord, Ontario, Canada
Compensation
A competitive salary plus discretionary bonus
Responsibilities
Own delivery of product features end-to-end: design, build, verify against acceptance criteria, and ship to production.
Build and operate 3rd-party and B2B integrations on the platform, delivering brand- and customer-specific features on top of a shared core.
Use AI coding agents and automated verification to accelerate delivery, working within engineering quality gates and independent review.
Set technical patterns and unblock yourself and others across a fast-moving, multi-workstream environment.
A Junior Fullstack Engineer role for a 16-month PEY internship to maintain and build high-performance web experiences using AI-native development workflows like Claude Code.
Compensation
$50,000 - $65,000
Responsibilities
Enhance and maintain platform applications, front end and back end, using Claude Code as the primary development tool.
Turn tickets into clear specs and plans before implementation to guide AI agents through well-scoped changes.
Debug and perform root cause analysis on integration issues using AI to trace code paths and read logs.
Review, test, and refine AI-generated code to ensure it is clean, robust, performant, and secure.
Maintain quality by writing meaningful tests and validating them personally.
Requirements
Nice to have: React
Nice to have: Ruby
Nice to have: Rails
Nice to have: Object-oriented programming
Nice to have: Customizing AI coding workflows (custom commands, skills, subagents, hooks, MCP server)
Build and maintain features across our CLI, backend, and frontend, with AI coding agents as a core part of your workflow; own outcomes end to end, take ownership of projects from idea through deployment and beyond, and shape architecture and design decisions.
Locations (2)
Canada
United States
Compensation
$170,000 - $220,000 CAD
Responsibilities
Build and maintain features across our CLI, backend, and frontend, with AI coding agents as a core part of your workflow
Take ownership of projects from idea through deployment and beyond
Make architecture and design decisions that keep a fast-moving, increasingly generated codebase coherent, maintainable, and secure
Review, test, and take full responsibility for the code you ship, whether you wrote it or an agent did
Collaborate closely with teammates including product management, sharing context, asking questions, and giving thoughtful feedback
Technical lead for every system at Nue that stores, moves, and serves data, setting long-term direction for the datastore platform and owning reliability, performance, and cost for 10x growth.
Responsibilities
Set the datastore strategy — Own the multi-year technical vision and roadmap for Nue's data layer across PostgreSQL, ClickHouse, caching, and streaming, and align engineering leadership behind it.
Own the fleet end to end — Be accountable for the reliability, availability, performance, and cost of every production datastore, and define the SLOs, error budgets, and operational standards they're held to.
Lead the scale-out architecture — Assess how our multi-tenant data layer needs to grow, choose the right approach (partitioning, read scaling, tenant isolation, sharding, or a different datastore), and deliver it, including tenant placement and online rebalancing where needed, to support 10x growth.
Lead the migration to fully managed, highly available PostgreSQL — Define the strategy, testing plan, and rollout for moving off self-managed RDS instances (Aurora/NeonDB), with zero data loss and minimal downtime.
Own the analytics data layer — Lead ClickHouse architecture, including table engines, partitioning and ordering keys, materialized views, and the CDC and ingestion pipelines (e.g., Kafka, ClickPipes) that keep it in sync with our transactional systems.
Requirements
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
As Technical Director, you will own the technical direction of Parallelz and lead a senior engineering team, working closely with the CEO to turn priorities into architecture while building agent-driven engineering systems.
Compensation
Competitive salary and equity
Responsibilities
Own the architecture and technical roadmap across our platform, balancing performance, reliability and cost as usage grows
Lead hands-on on the hardest technical problems, working alongside senior engineers from design through production
Design and run our AI-native development system: the agent workflows, guardrails and quality gates that take work from ticket to production
Turn product and partner priorities into clear technical plans, and own delivery of the platform behind our live products and host integrations
Grow a senior team with high standards for craft and AI-native work, and lead hiring and development for your reports