Candidates need strong production C++, working Python and SQL, and hands-on 3D geometry experience such as CAD algorithms, computational geometry or VFX engineering. They also need daily comfort with vectors, matrices and numerical methods, and the ability to deliver features independently.
Candidates need years of production tolerance analysis experience, hands-on use of 3DCS, CETOL or complex Excel tolerance models, and strong knowledge of GD&T and statistical and worst-case methods. They also need CAD skills and the ability to present clearly to engineers, managers and customers.
Candidates need extensive Tableau experience, strong SQL skills, and experience with large enterprise data warehouses and ETL. Experience with Tableau Server or Tableau Cloud and cloud BI or migration work is also required.
10+ ans3+ gestionCandidates need 10+ years in medical device QA/RA, including 5+ years with software as a medical device and 3+ years leading teams. They must have built an ISO 13485 quality system, led FDA submissions to authorization, and know IEC 62304, ISO 14971 and FDA software guidance.
Candidates need production experience with backend and search systems, hands-on work on retrieval or LLM-powered agents, and strong Python skills. Experience with vector databases, cloud infrastructure and AI coding tools is also required.
Candidates need deep experience running production data platforms, strong SQL and database architecture skills, and hands-on work with AWS, Docker and Kubernetes. Experience with warehouse technologies, Infrastructure-as-Code and multi-tenant data design is also required.
6+ ansCandidates need 6+ years of data or backend engineering experience, including high-volume streaming systems. They must be strong in Python or Elixir, advanced SQL, columnar databases and Kafka, Flink, Pulsar or Kinesis, with AWS experience.
Candidates need to graduate in 2027 from the University of Waterloo or University of Toronto in Computer Science, Software or Computer Engineering, with relevant co-op or internship experience in software development. They need solid CS fundamentals, comfort with modern JavaScript or TypeScript, and interest in data-analysis interfaces and AI-assisted engineering; React, ES6, SQL, Flask, Postgres and AI coding tools are assets.
GuruLink needs candidates with deep production DevOps, SRE or platform experience including on-call, practical Kubernetes skills, infrastructure as code, and GCP or AWS fundamentals. Hands-on MLOps, security tooling and SOC 2 automation experience are also required.
7+ ansCandidates need 7 to 10+ years in technical pre-sales or applications engineering in energy, with hands-on experience in solar, battery storage, EV charging or V2X. They must troubleshoot integrations using logs, APIs and protocols such as ISO 15118, IEEE 2030.5, OpenADR, MQTT and Modbus.
5+ ansCandidates need 5+ years of data engineering experience, with strong Apache Spark and PySpark skills and solid Python development practices. Experience with Kafka, cloud platforms (preferably Google Cloud), and modern deployment tools is expected.
Apache Spark, PySpark, Google Cloud Platform, Kafka, Delta Lake, Parquet
Candidates need hands-on field experience deploying or troubleshooting new residential energy technology, working knowledge of Canadian and U.S. electrical codes, and solar PV, battery storage and EV charging systems. Strong training, communication and independent work skills are required, along with willingness to travel 85% or more.
Troubleshooting, Onboarding, Provide technical expertise, Sales activities, Troubleshoot, Communication skills
1+ ansCandidates need at least one year of front-line customer support or customer success experience and basic knowledge of residential energy and electrical concepts. Strong written and verbal communication, problem-solving skills, and familiarity with help desk software and Microsoft Office are required.
Microsoft Office, CRM, Help desk software, Knowledge base
8+ ansCandidates need 8+ years of professional software development, including shipping production web applications end to end and experience with HL7 and/or FHIR EMR integrations. They also need experience cleaning large datasets and building a product from scratch, along with strong system design and clear communication with technical and non-technical people.
7+ ansCandidates need 7+ years of software engineering experience, including 5+ years shipping AI or ML systems to production. Strong Node.js and TypeScript skills, hands-on LLM and RAG experience, and AWS and Docker deployment experience are required.
AWS, Docker, Node.js, TypeScript, PostgreSQL, MySQL