Top Remote Systems Engineer Jobs

Build and maintain reusable UI components, foundations (tokens, type, color, layout), and prototyping experiences. Lead design-system projects with high accessibility, performance, and pixel-level craft. Apply AI to improve design-system workflows, mentor teammates, and drive product-focused decisions that scale across product teams.

Design, implement, and maintain private and public cloud infrastructure and data center physical layout. Lead automation, configuration management, virtualization, and OS provisioning across Unix/Linux/Windows and container platforms. Ensure reliability, disaster recovery, capacity planning, security, incident response, and provide operational reporting and technical guidance to stakeholders.

Provide technical and field support for packet microwave and millimeter-wave radio systems used in 4G/5G transport. Troubleshoot RF and networking issues, supervise installations, train customer engineers, perform IT/desktop support tasks, and document activities using Microsoft Office and SQL.

Join ASR as a Senior Software Engineer to maintain and develop swarming algorithms, enhance software architecture, and ensure operational reliability across our robotics systems. Responsibilities include extending the C++ code base and developing Python web services, requiring strong problem-solving skills in complex environments.

The role involves developing and maintaining C++ code for drone operations, creating new swarming algorithms, and collaborating on software architecture.

Deploy, operate, and maintain unmanned maritime vehicles, while providing operational feedback to improve performance. Engage with customers and support business development activities.

Deploy, operate, maintain, and troubleshoot unmanned surface vehicles (USVs) and supporting systems in open-water, near-shore, and harbor environments. Conduct pre-deployment checks, launch/recovery, post-mission analysis, and provide operational feedback to engineering and sales teams. Ensure compliance with COLREGS and USCG rules, support demonstrations and customer engagements, and travel frequently for field deployments.

Lead GPU-edge inference systems, ensuring compliance and performance through design and monitoring. Manage global infrastructure for AI deployment.

Design and build machine-learning-driven robotic systems that operate in the real world, support portfolio company growth, influence product and technical direction, and advance company and career outcomes.

Lead satellite systems verification and validation: develop test plans, build automated test systems and GSE, execute tests, analyze data, report non-conformances, and support system architecture, requirements, and CONOPS development across the full space mission lifecycle.

Design and build secure, production-grade infrastructure that enables agentic AI systems to interact with Strikes platforms. Develop authentication/authorization for agents, orchestration and runtime environments, IDE agents, enterprise knowledge connections, tiered autonomy safety mechanisms, and embed with teams to operationalize frontier AI tools while enforcing security and ownership.

Design, build, and operate core distributed systems in Rust powering messaging, storage, eventing, and fanout across a global real-time platform. Focus on reliability, performance, observability, incident response, capacity planning, and running services in Kubernetes-based production environments.

Improve and maintain automated build systems for a game team. Develop build software (Unreal Engine 5, primarily C#), monitor CI/CD health, provision on‑prem and cloud build resources, troubleshoot build failures, enable internal workflows, and collaborate with release and test teams to publish builds and test results.

Build internal tools, automations, and AI-assisted systems to reduce operational friction. Develop full-stack features in JavaScript/TypeScript with frameworks like Next.js and Postgres, use AI-native developer tools, debug locally and in production, and move solutions through deployment and production-readiness. Work closely with business users to prototype, iterate, and ship practical internal software that connects workflows and reduces manual work.

Develop and maintain OS images, kernels, bootloaders, device drivers, filesystems, and service orchestration for deployed humanoid robots. Build secure OTA/update mechanisms, provisioning scripts, and system orchestration (systemd, k3s). Troubleshoot low-level OS and hardware integration issues, write maintainable code and tests, and collaborate cross-functionally to improve tooling and reliability.

Develop and optimize high-performance CUDA kernels and distributed AI systems for deep learning applications, collaborating with researchers to enhance model performance and efficiency.

Develop innovative features for GPU performance profiling tools while collaborating with hardware and software teams. Essential for supporting CUDA developers worldwide.

As a Principal Software Engineer, you'll develop software systems for NVIDIA's rack-scale infrastructure, defining software architecture, collaborating across teams, mentoring engineers, and ensuring high-quality technical decisions in complex environments.

The Sr. Systems Engineer, ProAV supports NETGEAR's ProAV solutions through customer onboarding, troubleshooting, training, and pre-sales engineering, requiring advanced knowledge in networking and AV-over-IP technologies.

The Machine Learning Engineer will design and build systems that improve the AI shopping agent by using real user feedback, focusing on feedback loops and metrics to enhance user interactions and agent performance.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from varied sources. Work with event-driven and batch architectures, implement authentication and integration patterns, ensure observability/monitoring, optimize data flows for cost and performance, and collaborate with product, infrastructure, and engineering teams to onboard and maintain data sources at scale.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

Develop and maintain iOS applications and backend services. Collaborate on infrastructure, support Apple ecosystem operations, and troubleshoot ecosystem issues.

Lead and implement AI-assisted engineering workflows within software development, focusing on scalable AI integration, CI/CD automation, and team enablement.

Design, build, and operate full‑stack and backend services to support Sales, Marketing, and Finance. Lead technical design and production deployment of GenAI/ML features, own SDLC, ensure observability and validation, partner with cross-functional teams, and mentor engineers to deliver business outcomes.