Superlinear

4 Jobs

55 Employees

About the Company

At Superlinear, we don't just implement AI. We integrate it as an intelligent system across the entire organization--helping businesses achieve the compounded benefits and scale that AI can deliver. We partner with mission-driven companies to ensure AI empowers, rather than distracts from, their core business. We provide expert guidance and support on every step of the AI journey. As a leading partner with a presence in Belgium, the Netherlands, Germany, the Nordics, the US, and Italy, we pride ourselves on our rapid growth, exceptional team of over 62 experts, and the ability to collaborate with some of the world's most influential organizations. Our client portfolio includes GSK, Atlas Copco, Yara International, Brussels Airport Company, Port-of-Antwerp Bruges, United Nations, Carrefour, and more.

Listed Jobs

Company Name: Superlinear
Job Title: Forward Deployed Engineer
Job Description: **Job title** Forward Deployed Engineer – Optimization **Role Summary** Deploy and integrate optimization‑driven decision systems for enterprise clients. Act as a technical bridge between modeling, software engineering, and client operations, building reliable, production‑ready solutions that improve organization‑wide productivity. **Expectations** - Deliver end‑to‑end optimization solutions (planning, scheduling, allocation) within client environments. - Translate functional requirements into scalable, maintainable code on Superlinear’s Autonomous Enterprise OS. - Collaborate closely with clients, strategists, and internal teams to ensure solutions meet operational constraints and user needs. - Grow from supervised implementations to leading larger workstreams as experience increases. **Key Responsibilities** - Design, implement, and test optimization models in Python (LP, MILP, heuristics). - Build data pipelines, APIs, and workflow integrations with client systems. - Perform unit, integration, and regression testing; document and monitor deployments. - Participate in client meetings to gather requirements, communicate trade‑offs, and present progress. - Conduct code reviews, share best practices, and mentor junior contributors. **Required Skills** - 2+ years in software engineering or applied optimization; internship experience acceptable. - Strong Python programming and ability to write clean, tested code. - Solid understanding of linear/mixed‑integer programming and heuristic methods. - Familiarity with data pipelines, REST/Graph APIs, version control (Git), and CI/CD concepts. - Excellent communication, problem‑solving, and a pragmatic mindset focused on real‑world delivery. **Required Education & Certifications** - Master’s degree in Applied Mathematics, Operations Research, Computer Science, or related field. - No additional certifications required.

Company Name: Superlinear
Job Title: Senior Forward Deployed Engineer (Optimization)
Job Description: **Job Title:** Senior Forward Deployed Engineer (Optimization) **Role Summary:** Lead end-to-end deployment of optimization-driven solutions to enhance enterprise-wide productivity through scalable decision-making systems. Focus on translating analytical insights into impactful, production-ready systems. **Expectations:** 5+ years delivering optimization/decision-support systems in complex environments; strong technical ownership of solutions; experience in logistics, manufacturing, or similar operational sectors. **Key Responsibilities:** - Design and deploy optimization systems (planning, scheduling, routing) to drive operational efficiency. - Translate functional requirements into robust technical solutions, prioritizing scalability and maintainability. - Coordinate cross-functional stakeholders to resolve systemic challenges and align with architectural principles. - Own production-grade implementation (APIs, data pipelines, CI/CD) while managing technical debt and trade-offs. - Mentor engineers, review code, and foster feedback loops to refine platform coherence and deployment efficacy. - Promote evidence-based decision-making and simplicity in solution design. **Required Skills:** - Advanced optimization techniques (Constraint Programming, LP/MILP, heuristics/metaheuristics). - Python engineering proficiency for production model integration. - API/data pipeline design, DevOps practices. - Architectural reasoning across implementation and system-level design. **Required Education & Certifications:** - Master’s or PhD in applied mathematics, computer science, operations research, or physics. - Proven track record in delivering high-impact optimization systems.

Company Name: Superlinear
Job Title: Senior Platform Engineer
Job Description: **Job Title** Senior Platform Engineer **Role Summary** Architect and build a cloud‑agnostic platform foundation that powers an autonomous enterprise operating system. Own end‑to‑end infrastructure design, security, developer experience, and reliability to support multi‑tenant, single‑tenant deployments across AWS, Azure, and GCP. **Expectations** - Design foundational platform architecture that scales to the largest enterprises. - Deliver secure, compliant, and highly available infrastructure with a clear security‑first mindset. - Establish automation, observability, and reliability practices that enable rapid, safe code deployment. **Key Responsibilities** - Define and implement cloud‑agnostic architecture deployable to any major cloud provider. - Build secure, single‑tenant deployments with isolation, data governance, and ISO 27001‑aligned controls. - Create Infrastructure‑as‑Code (IaC) templates (Pulumi or equivalent) for rapid, repeatable provisioning. - Design and maintain CI/CD pipelines (GitHub Actions or equivalent) and automated deployment workflows. - Deploy and manage monitoring, logging, & observability solutions; define SLI/SLO metrics. - Develop high‑availability, disaster‑recovery designs and incident response runbooks. - Produce developer tools that streamline safe and fast shipping. - Set technical standards, drive best practices, and communicate clearly across engineering and business stakeholders. **Required Skills** - Deep expertise in cloud‑native architecture and preference for simple, cloud‑managed services. - Proven experience building production‑scale infrastructure. - Strong IaC proficiency (Pulumi preferred). - Proficient in Python and modern DevOps practices. - Containerization with Docker; CI/CD pipeline design and implementation (GitHub Actions preferred). - Security best practices, zero‑trust architecture, data isolation. - Experience with monitoring/observability tools (Prometheus, Grafana, or cloud native). - Solid Linux/Unix system knowledge. - Ownership mindset, pragmatic decision‑making, security‑first thinking, and effective communication skills. **Bonus / Preferred** - MLOps infrastructure and data pipelines. - Familiarity with compliance frameworks (ISO 27001, SOC 2). - Experience deploying software to client‑managed environments. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. - Relevant cloud certifications (AWS/Azure/GCP Cloud Practitioner or Architect) preferred but not mandatory.

Company Name: Superlinear
Job Title: Senior Software Engineer - Optimization
Job Description: Job Title: Senior Software Engineer - Optimization Role Summary: Develop enterprise-level optimization solutions for complex industrial problems using mathematical modeling, constraint programming, and distributed algorithms to drive productivity gains for large-scale European enterprises. Expectations: - Translate business requirements into mathematical optimization models. - Design scalable, robust software solutions for high-impact industrial applications. - Collaborate on cross-functional challenges requiring computational rigor and systems thinking. Key Responsibilities: - Model large-scale real-world problems as constraint programming systems. - Design and implement solvers for multi-objective optimization, including Pareto frontier computation. - Build Python APIs and natural language interfaces to integrate optimization models with LLMs and business users. - Develop distributed optimization algorithms combining metaheuristics, reinforcement learning, and distributed strategies. - Ensure software robustness through testing, performance benchmarking, and observability integration. Required Skills: - Proficiency in mathematical optimization (constraint programming, operations research, metaheuristics, convex optimization). - Expertise in optimization solvers (Gurobi, CPLEX, OR-Tools) and Python programming. - Experience with mixed-integer linear programming, large-scale distributed optimization, and API design. - Knowledge of reinforcement learning and LLM integration in optimization workflows. - Proven ability to solve real-world optimization problems with tangible economic impact. Required Education & Certifications: - Graduate degree in Computer Science, Mathematics, Operations Research, or related field. - Advanced academic or industry experience in mathematical optimization (preferred). - Certifications in optimization toolkits or machine learning techniques (optional).