Top Remote Systems Engineer Jobs

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.

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

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.

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.

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.

Responsible for leading MBSE development activities, creating system models, and contributing to MBSE training initiatives while collaborating with engineering teams.

The role involves building user experiences, automating ML workflows, applying ML to data labeling, and collaborating across teams to improve data quality for autonomous vehicles.

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

As a Senior Associate, the role involves designing data architecture, collaborating with stakeholders, and mentoring team members while ensuring data quality and implementing solutions using programming languages and cloud platforms.

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 the design and evolution of legal systems by leveraging software engineering, AI, and system architecture to improve workflows and automate processes.

Lead the design and implementation of data architecture strategies within AI and ML, collaborating with stakeholders to enhance data solutions and ensure compliance with governance policies.

The Senior Cloud & Systems Engineer leads infrastructure modernization, manages cloud workloads, oversees identity governance, administers Microsoft 365, and builds automation tools while ensuring security and compliance.

Lead the design and execution of radar sensing platforms and wireless communication sub-systems, overseeing development, optimizing designs, and ensuring quality and compliance. Collaborate across teams and mentor members while troubleshooting complex issues in RF/mmWave design.

As a Senior AI/ML Engineer, you will design and build end-to-end ML systems, manage ML lifecycle workflows, and ensure compliance with AI standards within the healthcare sector.

Lead integration, validation, and fielding of advanced weapon capabilities on X-Bat across the full lifecycle. Define system behaviors and architectures, coordinate cross-functional integration, support lab/ground/flight tests, perform troubleshooting and root-cause analysis to reduce integration risk and accelerate capability delivery.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Design, build, and operate production ML signal systems—ranking, retrieval, recommendations, propensity, and next-best-action—covering feature/candidate generation, serving, experimentation, monitoring, and feedback. Define signal contracts (freshness, provenance, confidence), evaluate long-term impact (trust, fairness, compliance), and partner across product, data, and risk teams to deliver reusable customer-intelligence capabilities.

Build a cross-platform endpoint agent to detect and attribute AI-generated code at the line level, design pipelines to capture/classify/store developer and agent activity, work with Git internals, integrate with coding agents, and ensure reliable, invisible production deployments across macOS, Linux, and Windows.

The Principal Engineer will lead the engineering team in building systems across full stack, improving development efficiency, and expanding products in new markets.

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.

Support federal systems engineering tasks including preparing IT documentation, test data and analysis, maintaining requirements and configuration documentation, evaluating vendor solutions and guiding transition from STEPP to CSOD, collaborating with hardware engineers, and developing operational requirements and traceability matrices.

Design, build, and operate core systems for autonomous agents, focusing on reliability, security, and engineering effective agentic workflows and integrations for enterprise environments.

The Principal AI Systems Engineer will architect and evolve Kindo's agent platform for automating DevOps and SecOps workflows, focusing on AI-native systems engineering, reliability, and security.

You will define and build systems for autonomous agents to operate reliably in production, focusing on architectures, integrations, and security. Responsibilities include innovative system design, experimentation, and managing production-level reliability and security for enterprise-scale applications.