Staff Forward Deployed Engineer, AI Simulation
CanadaFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLKubernetesAirflowRESTful APIsTerraformDistributed Systems
Requirements
- 7+ years of software engineering experience with strong expertise in Python and scalable system design
- Proven ability to work independently in fast-paced, ambiguous environments with high ownership expectations
- Hands-on experience with cloud orchestration tools such as Kubernetes and workflow systems like Airflow
- Strong background in REST APIs, database systems (SQL, ORM, schema design), and Infrastructure as Code (Terraform)
- Experience building production-grade systems in customer-facing or research-driven environments
- Strong communication skills with the ability to translate complex technical concepts across diverse stakeholders
Responsibilities
- Lead end-to-end technical execution of client deployments, diagnosing bottlenecks and ensuring successful delivery of scientific and AI-driven solutions
- Architect and develop high-performance systems to extend simulation tools, automate R&D workflows, and support large-scale computation
- Serve as a technical translator between scientific researchers and engineering teams, ensuring alignment between experimental needs and system design
- Build and maintain cloud infrastructure, data pipelines, and deployment systems with a focus on scalability, reliability, and performance
- Integrate internal AI systems, including large quantitative models and agent-based frameworks, into bespoke external environments
- Collaborate across functions to validate solutions against scientific requirements and production constraints
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