Top Remote Systems Engineer Jobs

Own the technical architecture, strategy, and roadmap for an autonomous construction robotics stack spanning localization, planning, controls, and safeguarding. Make build-versus-reuse-versus-buy decisions, design safety systems, guide integration and field validation, establish shared technical foundations across autonomy programs, and mentor engineers. The role requires architecting and shipping production autonomous systems, strong compiled-language software skills, broad systems judgment, and 10+ years of relevant experience.

Lead small-to-mid control systems projects from design through commissioning and FAT. Support commissioning, troubleshooting, validation, and documentation. Develop and enforce engineering standards, perform internal audits, coach teams, and drive continuous improvement while coordinating with stakeholders to meet quality, schedule, and budget goals.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

Develop and implement customer information solutions while serving as a liaison between stakeholders and Decision Resources. Responsibilities include requirements gathering, systems analysis, development, QA testing, UAT support, user training, SDLC execution, and post-production support. The role also provides production support for Syteline products, including EDI, ecommerce, OCR transactions, supply chain and warehouse management, and general user issues.

Plan, forecast, and optimize hardware capacity for storage, compute, and network. Build predictive models and automated forecasting pipelines, monitor cluster performance, align cross-functionally with engineering, operations, and finance, and support procurement and deployment decisions to ensure scalable, cost-efficient platform reliability.

The Principal Engineer designs and develops control systems for infusion pumps, focusing on software design, testing, and algorithm development.

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

Lead performance and scalability engineering for Kubernetes-based accelerated AI runtimes. Analyze end-to-end stack from orchestration to hardware, design upstream Kubernetes changes, improve container startup and encrypted inference performance, build large-scale simulations and automated workload tests, and engage upstream communities and customers to validate and ship scalable AI infrastructure.

Leads integration, commissioning, startup, troubleshooting, and optimization of ultra-pure water, wastewater, reuse, and utility systems for semiconductor facilities. Develops standards, documentation, layouts, and execution methods; supports system turnover, testing, operational readiness, and ramp activities. Collaborates with engineering, operations, construction, suppliers, customers, and end users while providing technical education and identifying reliability, safety, and process improvement opportunities.

Design, build, and operate low-latency, highly available distributed data systems and services to deliver high-quality data for algorithms and ML. Partner with data scientists and product teams to enable self-service data, real-time and batch processing, observability, and scalable multi-tenant solutions that run 24x7.

Lead development and maintenance of internal design system libraries, tools, and Figma plugins. Implement AI solutions to speed design workflows, own medium-to-large features end-to-end, run internal user research, provide support and on-call coverage, conduct design and code reviews, and collaborate with designers and engineers to drive technical strategy and adoption.

Lead design and execution of a modernized, Python-native AI/ML platform for AIMS: define architecture, drive migration, build migration tooling, ensure scalability, observability, cost optimization, and reliability, prototype GenAI operational tooling, and set org-wide technical standards.

Build and operate scalable, highly available ML/LLM serving and compute infrastructure. Own long-term platform vision, deliver zero-to-one projects, partner cross-functionally, optimize performance and capacity, and support production ML models at scale.

Design, build, and maintain tools and services for Active Directory and cloud identity platforms. Implement security policies and access controls, collaborate on Azure and Google Workspace deployments, automate integrations via APIs and CI/CD, maintain runbooks, participate in on-call rotation, and support AWS infrastructure for production systems.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Technical lead for media, entertainment, gaming, and sports accounts driving pre-sales: discovery, demos, POCs, and architecture sign-off. Design high-throughput, low-latency storage and multi-site collaboration architectures, build technical toolkits, and partner with sales and customer teams (TDs, post supervisors, pipeline engineers, IT).

Technical pre-sales lead for federal accounts: own technical relationship across discovery, demos, POCs and architecture sign-off; design scalable, resilient, secure storage architectures; collaborate with sales, partners, systems integrators, and product/engineering; create federal reference architectures, demos, and solution content.

Senior technical pre-sales resource owning customer technical engagements from discovery through POCs and architecture sign-off. Designs and validates hybrid and multi-site storage/data management solutions for file services, backup/archive, analytics, and AI/ML. Partners with sales and infrastructure teams, builds reference architectures, demo content, and solution briefs, and translates customer requirements into scalable production designs.

Lead design, implementation, and maintenance of system architectures across applications, infrastructure, and cloud platforms for federal IT modernization. Provide technical leadership, ensure performance, reliability, and integration, produce documentation, and collaborate with DevOps, security, and stakeholders within Agile teams.

The Senior Systems Engineer will support DoD acquisition programs through lifecycle activities, requirements analysis, system architecture documentation, and technical reviews.

Design, build, test, and deploy secure mission-planning software. Maintain secure CI/CD, containerized deployments, automated testing, and security-scanning workflows. Integrate AI capabilities, investigate vulnerabilities, support remediation, produce technical design documentation, and collaborate with stakeholders and customer leads.

Develop secure, data-rich frontend features using React and TypeScript for a DoD mission-planning platform. Integrate UIs with backend APIs, support map-based and AI-enabled decision-support workflows, write unit/integration tests, participate in code reviews and security remediation, and collaborate with cross-functional teams with periodic onsite sprint planning in Laurel, MD.

Integrate LLMs, RAG, and agentic-AI into secure decision-support software. Design prompts and inference workflows, connect AI to backend services, evaluate outputs, build tests, document designs, and collaborate with engineering, security, and DevSecOps teams to deliver reliable mission-capable AI features.

Build, test, and integrate secure backend services and APIs for DoD mission-planning. Work on REST and gRPC services, asynchronous workflows, geospatial databases, containerized deployments, CI/CD, automated tests, and vulnerability remediation while collaborating with AI/ML, frontend, and cybersecurity teams.

Deploy, upgrade, and maintain High-Speed Data infrastructure supporting DNS, DHCP, DOCSIS provisioning and related platforms. Perform Linux (CentOS/RHEL) administration, scripting/automation (Python, Bash, Ansible, Docker), vendor management, troubleshooting, LLD documentation, project work, training, and on-call support to ensure availability and security of HSD services.