Top Remote Systems Engineer Jobs

Implement and optimize C++ core algorithms for machine learning, computer vision, and 3D/procedural modeling. Apply cutting-edge research, manage code with Git, deploy and test on cloud and Unix-based systems, and work with large-scale geospatial datasets to generate user-facing 3D content.

The Information Systems Engineer will design integrations and enhance engineering processes across various business systems, focusing on scalability and efficiency. Responsibilities include collaborating with teams to implement systems solutions, optimizing integrations, monitoring performance, and supporting production applications.

Lead data architecture and GenAI system design, mentor and manage a team, implement cloud-based data integration and DevOps pipelines, optimize cloud resources, and drive LLM-related AI innovations while ensuring project delivery and professional standards.

Lead design and implementation of data architecture and GenAI solutions. Drive thought leadership, align technical solutions with business needs, ensure governance and security, oversee advanced data technologies, and coach teams through complex problems.

Template job posting for a Canada-based role at Block. Responsibilities and qualifications are placeholders. The role would support corporate teams (People, Finance, Counsel, Hardware, Info Security, Platform Infrastructure Engineering), collaborating across business groups, time zones, and disciplines to enable company-wide initiatives.

This is an APAC job posting template for Block outlining sections: role overview, responsibilities, qualifications, tech stack, EEOC, application guidelines, AI use in hiring, benefits, and company background. It serves as a reusable framework for hiring across corporate and technical teams.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Lead Systems Engineer responsible for requirements-based engineering of APU control systems: define/decompose system requirements, lead architecture and interface definition, ensure compliance with environmental standards (DO-160, MIL-STD-810, MIL-STD-461), oversee V&V, coordinate across hardware/software/test teams, and lead a small requirements team to support program execution.

Lead requirements-based systems engineering for APU control systems: define, decompose, verify/validate system requirements, support architecture and interfaces, apply environmental qualification standards, coordinate cross-functional integration, and support program execution and customer design reviews.

Lead architecture and scaling of finance systems across Oracle Fusion and integrations. Drive AI-assisted development, design data models, build integrations (SQL/PLSQL, REST/SOAP), automate financial workflows, and translate accounting requirements into scalable technical solutions while partnering with business and data teams.

As a Principal Machine Learning Systems Engineer, you will lead the development and implementation of machine learning systems and solutions to enhance team collaboration and productivity across Atlassian's software products.

Lead development and integration of Salesforce-centered GTM systems: build Apex/LWC solutions, design event-driven integrations, optimize data flows to Snowflake, manage CI/CD with Gearset/Git, write SQL for reporting and data quality, troubleshoot production, and mentor developers while advancing AI-enabled, composable CRM automation.

Lead the validation strategy for autonomous vehicle software, mentor team members, analyze autonomous behaviors, and develop testing strategies in this senior engineering role.

Lead design and delivery of production autonomous agents and agentic workflows: architect orchestration, integrate and optimize frontier LLMs, drive model fine-tuning and evaluation, mentor engineers, and translate business goals into safe, reliable, scalable AI-powered product experiences.

Design, implement, and maintain complex network infrastructure (Cisco, F5, Palo Alto, Infoblox, Zscaler, Azure, ISE, SDWAN). Develop Ansible/Python automation, perform capacity planning, security audits, troubleshooting, documentation, change management, vendor coordination, and mentor junior engineers.

Design and integrate aircraft mechanical components and assemblies, support installation layouts and routing for EWIS/hydraulic/fuel/pneumatic/ECS systems, create CAD models and engineering drawings, apply GD&T and tolerance analyses, assist with prototypes and manufacturing support, and collaborate across multidisciplinary teams for aircraft system integration.

Lead architecture, development, and validation of end-to-end aircraft fuel systems. Drive cross-functional integration, system-level modeling (CFD), verification, supplier qualification, ground and flight test support, anomaly root-cause analysis, and mentor engineering teams while contributing to long-term fuel-system technology roadmaps.

Design, build, and maintain reliable infrastructure for Yext's SaaS platform, collaborating with engineering teams to enhance performance, security, and operational efficiency.

Build and maintain multi-cloud infrastructure standards, self-service tooling, and paved-road defaults across AWS and GCP. Partner with compute, security, and networking teams to embed guardrails, drive standardization, lead cross-team initiatives, and resolve systemic operational issues to ensure secure, scalable, and reliable platform infrastructure.

Design and implement high-performance C++ systems for machine learning, computer vision, and 3D modeling. Apply research, optimize algorithms, manage source control with Git, deploy and test on cloud using Unix-based systems, and work with large-scale geospatial datasets to generate 3D content.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

Manage, deploy, troubleshoot, and support Windows Server and Citrix environments for managed-service customers. Act as first responder for OS incidents, handle ticket queue and escalations, document resolutions, participate in on-call rotation, and support projects to expand and improve services.

Lead implementation of software safety programs for underwater robotic/autonomous vehicles per MIL-STD-882. Produce safety plans and assessments, perform hazard analyses, track coverage metrics, catalog safety artifacts, review software independently, and present findings at reviews and customer meetings. Coordinate across programs and support demanding schedules with occasional travel.

Lead systems engineering activities: develop CONOPS, requirements/specifications, ICDs, hazard analyses, test plans; apply MBSE/SysML and SEDB tools; guide design teams, produce reports, and interface with clients. Some travel required.