Top Remote Systems Engineer Jobs

Design, build, and scale distributed systems powering real-money prediction-market trading. Develop high-throughput Kafka pipelines, low-latency data layers, resilient services, and real-time market-update delivery. Shape architecture and platform strategy, establish observability and engineering standards, define production success metrics, and mentor engineers. The role requires hands-on coding, technical leadership, reliability ownership, and optimization for high concurrency and live-event traffic spikes.

Own localization requirements, simulation and track testing, Hardware-in-the-Loop testing, and unit test coverage for autonomous ground vehicle software. Collaborate with autonomy, systems, safety, and hardware teams; review requirements and code; configure localization and safety algorithms; and support systems-level solutions. The role requires source-level C++ understanding, requirements management, safety standards familiarity, and testing across unit, simulation, track, and HIL environments.

Build and scale high-throughput streaming infrastructure that ingests, forwards, and computes on billions of behavioral events in real time. Own projects end to end, solve customer scaling challenges, and influence the technical roadmap. The role focuses on distributed systems capable of processing millions of messages per second with very low latency, supporting real-time personalization and AI-driven marketing products.

Design, build, and optimize distributed systems powering large-scale data synchronization. Responsibilities include improving sync speed, developing real-time streaming capabilities, scaling high-volume and low-latency systems, troubleshooting customer scaling challenges, and supporting multi-region, multi-cloud infrastructure and data residency requirements. The role involves end-to-end project ownership, customer collaboration, system architecture, and reliability improvements.

Lead the architecture and development of high-throughput streaming infrastructure processing over one million messages per second with sub-second latency. Responsibilities include scaling real-time computation, improving caching, designing message deduplication, enabling zero-downtime deployments, delivering customer-focused projects, shaping the technical roadmap, and mentoring engineers.

Own Salesforce and the broader B2B SaaS go-to-market systems ecosystem, including integrations, workflows, automation, data governance, routing, attribution, and data quality. Build scalable processes across Sales, Marketing, Partnerships, and Customer Success; troubleshoot system issues; manage integration pipelines; evaluate new tools; and translate business needs into technical solutions. The role requires strong Salesforce expertise, API and automation experience, analytical fluency, and independent cross-functional collaboration.

Build and operate the Defense & Systems Data Fabric through metadata ingestion pipelines, API and connector integrations, data-product onboarding, and policy enforcement. Implement policy-as-code and attribute-based access control for export-control and data-sovereignty requirements. Maintain monitoring, alerting, reliability, documentation, and certification workflows across hybrid cloud, on-premises, and edge environments while conforming to architectural and governance standards.

Leads controls engineering for new and existing energy storage and solar-storage products. Develops, validates, and integrates controls for AC/DC systems, power conversion, plant-level operations, battery management, and auxiliary systems. Drives technical innovation, reliability improvements, product documentation, customer requirements, troubleshooting, and cross-functional execution. Mentors engineers, provides technical oversight, communicates with leadership and customers, and supports installation, commissioning, and operations.

Build and maintain accessible, reusable React Native and web components for Rocket Money’s design system. Collaborate with designers and engineers on UI primitives, tokens, patterns, documentation, tooling, motion, and interaction quality. Improve accessibility, testing, adoption, migration support, and developer experience through reliable shared infrastructure, Storybook examples, technical documentation, and code reviews.

Own end-to-end software architecture for humanoid robot applications, design modular, production-ready platforms integrating robotics frameworks, AI, cloud/edge, and hardware constraints; lead technical decisions, guide POCs to deployments, and mentor a small engineering team.

Serve as the primary technical security engineer for a DoD system, managing ACAS and SCAP vulnerability scans, STIG compliance, patching, POA&M remediation, incident response, system documentation, and NIST RMF compliance. Collaborate with the ISSO, maintain security and configuration records, investigate alerts, and use PowerShell, Python, or Bash to automate security and compliance activities.

Develop, maintain, integrate, test, and support database-driven web applications for VHA ORD programs. Responsibilities include SQL queries and stored procedures, application debugging, functional and regression testing, production troubleshooting, deployment coordination, defect resolution, documentation, and communication with technical and non-technical stakeholders.

Build and operate production AI systems, including LLM-backed APIs, agents, retrieval and RAG workflows, evaluation systems, ingestion pipelines, and data services. Develop reliable data paths connecting customer environments, cloud storage, and compute clusters. Partner with Product and Design to define requirements, make architectural decisions, ship platform improvements, and own post-launch performance across backend services, cloud infrastructure, and occasional UI work.

Develop and implement safety framework methodologies for autonomous trucking readiness decisions. Build high-signal safety datasets across simulation and closed-course testing, establish feedback loops from road monitoring and safety events, validate safety evaluation pipelines, and create traceable safety artifacts. The role also requires cross-functional collaboration, technical mentorship, data analysis, statistical evaluation, and evidence-based safety case development for autonomous vehicles.

Deploys, integrates, operates, and tunes high-performance NFS storage for Kubernetes, GPU, and AI workloads. Responsibilities include CSI integration, Linux and network optimization, storage lifecycle management, air-gapped platform support, infrastructure-as-code, GitOps automation, observability, and troubleshooting distributed storage performance and reliability across hybrid, edge, and bare-metal environments.

Leads the full lifecycle development of satellite and aerospace software systems, including requirements definition, systems architecture, trade studies, verification, validation, testing, anomaly resolution, integration, deployment, and operations. Supports spacecraft product roadmaps, customization, cost optimization, and heritage-platform reuse. The role also leads multidisciplinary teams and performs specialized systems analyses across safety, reliability, security, certification, and related engineering disciplines.

Staff-level ML and agent systems engineer responsible for production model lifecycles, multi-step agentic systems, evaluations, retrieval and context engineering, and model cost and latency optimization. The role owns technical direction for Code Understanding products, improves model and agent quality, establishes evaluation and monitoring standards, mentors engineers, collaborates with customers, and delivers reliable AI-powered developer experiences at enterprise scale.

Designs, implements, and maintains hybrid VPC and global enterprise IT infrastructure for the Department of State. Responsibilities include server and storage infrastructure, Active Directory, backup and restoration systems, Microsoft Exchange clusters, DNS, DHCP, and a hardware request website. The role also supports modernization, security protocol integration, data protection, infrastructure reliability, and collaboration across customer organizations.

Designs system architectures, requirements, interfaces, and performance metrics for robotaxi systems spanning autonomy, remote operations, fleet orchestration, mapping, and customer-facing software. Evaluates system performance through data pipelines, simulation, verification, and validation campaigns; collaborates across engineering and operations teams; documents complex workflows; and supports safety-focused autonomous vehicle deployment.

Own and extend Rightway’s commercial systems, especially Salesforce, by building Apex, Lightning Web Components, integrations, automations, and AI-powered tools. Improve commercial data quality, connect systems to the central data warehouse, and deliver solutions for sales and client success teams. The role is the first dedicated commercial systems engineer, with potential to mentor and manage future team members.

Lead the architecture, hydraulic design, documentation, integration, manufacturing readiness, controls coordination, and commissioning of liquid-cooling and mechanical distribution systems for modular AI data centers. Own P&IDs, calculations, equipment and valve schedules, interfaces, standards, and performance validation. Collaborate with thermal, electrical, controls, manufacturing, commissioning, supply chain, OEM, and field teams to create scalable, serviceable, repeatable systems for deployment across multiple sites.

Develops and maintains complex software applications and operating systems, defining specifications, designing software, hardware, and communications architectures, and ensuring compliance with DoD and open-systems standards. Responsibilities include coding, testing, debugging, documentation, quality assurance, software evaluation, systems maintenance, technical analysis, and directing other personnel. The role also requires business intelligence, analytics, data modeling, dashboard design, and modern security solution experience.

Develop and scale production AI infrastructure supporting large GPU clusters and workloads. Responsibilities include Kubernetes operator and API development, GPU resource scheduling, cluster operations, node health monitoring, telemetry-based reliability improvements, incident analysis, and distributed systems engineering. The role collaborates across teams to improve the performance, availability, and scalability of NVIDIA’s DGX Cloud platform.

Define system and technical requirements for fault-tolerant quantum computing across hardware, software, and firmware. Develop real-time quantum error correction and calibration approaches, perform systems analysis across qubit modalities, and create and review test cases. Collaborate with product, research, engineering, and external partner teams to advance quantum control systems, quantum computing products, and related NVIDIA technologies.

The Staff Systems Engineer leads a team in designing, building, and supporting infrastructure, ensuring optimal performance and security. Responsibilities include delivery, planning, support, and mentoring junior engineers, along with collaborating on technology solutions and improvements.