Top Remote Systems Engineer Jobs

Provide pre-sales technical support and solution design for HPE Networking across datacenter, campus, and branch environments. Develop technical proposals, run proofs-of-concept, position competitive differentiators, collaborate with territory managers and partners, and drive opportunities to closure while maintaining strong customer relationships.

Develop, integrate, test, deploy, and support ICAM applications using Java/Spring/Hibernate/Angular/MySQL. Commit code, maintain unit and automated tests, support CI/CD and zero-downtime deployments, troubleshoot Tier 2/3 incidents, perform root-cause analysis, write technical documentation, and participate in Agile ceremonies.

Develop system requirements, performance budgets, test strategies, metrics, and verification processes for L3/L4 autonomous driving products. Analyze safety-critical systems, datasets, and software architectures while coordinating vehicle and component testing. Partner with engineering, safety, validation, analytics, and product teams to ensure functional and safety compliance. Apply SOTIF, ISO 26262, architectural trade-off analysis, and validation strategies for deep learning and modular autonomous-driving systems.

Own and improve annotation systems, workflows, and tooling to produce high-quality training data. Build Python and web tools, integrate model-assisted labeling and active learning, implement data quality checks, support dataset versioning and evaluation, and coordinate cross-team efforts to measure and improve annotation throughput and model impact.

Provide systems engineering support for M-Code aviation receivers including platform and weapons integration, requirements development and traceability, ICD development, technical analysis, trade studies, SIL testing coordination, roadmap and schedule development for PNT/NAVWAR capabilities, and preparation of technical reports.

Build simulation and planning systems for complex communications networks. Develop tools that model hypothetical scenarios, vary configurations and assumptions, compare outcomes, surface tradeoffs, and identify risks. Design scalable, reliable backend systems for complex, evolving network states while collaborating across product engineering to integrate capabilities into broader workflows. Responsibilities span system design, implementation, testing, debugging, and operational support.

The role involves managing and developing advanced Google Sheets systems, automating workflows, and supporting data-driven decisions across teams.

Develop and optimize ultra-low-latency, high-performance trading infrastructure in modern C++. Implement and tune order execution, market data connectivity, multi-threaded systems, and risk modules. Profile and benchmark real-time systems, collaborate with quants and traders, and maintain robust, fault-tolerant continuous trading operations.

The Principal PreSales Systems Engineer for HPE Networking manages pre-sales support, prepares technical solutions, and drives sales engagements, focusing on customer satisfaction and solution delivery.

Lead technical sales engagements for enterprise storage: design solutions, run evaluations/benchmarks, author RFP/RFI responses, present architectures, and collaborate with sales, product, and partners to win deals.

Customer-facing presales systems engineer partnering with account managers to design, present, and demonstrate end-to-end enterprise networking solutions (routing, switching, wireless, NAC). Develop proposals, run PoCs, support deployments, and drive adoption while maintaining expertise in vendor products and automation.

Design and develop low-latency, high-throughput distributed database kernels for massively parallel analytics. Responsibilities include architecture, modern C++ development, MPI/OpenMP query execution, SIMD and hardware optimization, distributed networking, database internals, in-database machine learning, vector indexing, performance tuning, code reviews, mentoring, and resolving scalability issues across large-scale clustered systems.

Design and develop massively parallel distributed database kernels for real-time analytics at terabyte and petabyte scale. Responsibilities include low-level C++ development, MPP query execution, SIMD and hardware optimization, distributed communication using MPI and RDMA technologies, database internals, vector indexing, in-database machine learning, performance tuning, architecture reviews, mentoring, and resolving scalability issues.

Design and develop low-latency, high-throughput distributed database kernels for massively parallel analytics. Responsibilities include query execution, columnar storage, transaction management, cluster coordination, hardware-aware optimization, SIMD vectorization, RDMA networking, in-database machine learning, vector indexing, performance tuning, architecture reviews, code reviews, mentoring, and resolving scalability issues.

Defines the multi-year technical vision and architecture for Docker’s Central Operations and Systems organization. Leads cross-company platform programs, SDLC golden-path development, infrastructure standardization, AI platform enablement, observability, reliability, cost optimization, and systems convergence. Influences executives and engineering teams, drives build-versus-buy decisions, mentors senior technical leaders, and may participate in on-call support.

Research and optimize AI and machine-learning systems across desktop and mobile platforms. Evaluate model performance, develop and deploy on-device applications and agents, and improve browser ML products. Apply systems and network expertise, collaborate with privacy and security researchers, and investigate AI risks. The role involves open-source development, performance benchmarking, and use of modern ML frameworks to deliver privacy-focused solutions.

Lead the technical direction, architecture, and delivery of production agentic AI systems. Build AI platform abstractions, agent workflows, evaluation and guardrail infrastructure, cloud-native services, and operational tooling using TypeScript/Node.js and Python. Own deployment, monitoring, troubleshooting, and measurable outcomes while partnering with product, clinical operations, and business leaders. Mentor engineers, establish reusable patterns, communicate architectural trade-offs, and ensure privacy, security, compliance, reliability, safety, and cost controls for sensitive healthcare data.

The M365 Engineer will administer and optimize Microsoft 365 services in a healthcare setting, manage configurations, and mentor junior staff.

Lead design, implementation, automation, and support of on-premises and cloud enterprise infrastructure. Manage Windows/Linux servers, virtualization, storage, backup/DR, identity services, security hardening/STIGs, patching, monitoring, and incident response while collaborating with cross-functional engineering and security teams.

The Consulting Systems Engineer will provide technical pre-sales leadership, designing and implementing integrated utility solutions, managing customer engagement, and collaborating with partners on operational technology modernization.

Design, implement, and maintain distributed consensus mechanisms and systems, ensuring scalability and fault tolerance while analyzing performance and debugging issues.

Summer interns assist with designing and implementing IT solutions, support cybersecurity initiatives by analyzing security protocols and recommending improvements, and collaborate with data science teams to analyze data and develop actionable insights. The role provides hands-on experience, mentorship, professional development, and exposure to innovative technology projects across Honeywell Technologies.

Summer 2027 intern supporting IT solution design, cybersecurity protocol analysis, and data science initiatives. The role involves collaborating with technical teams to improve security, analyze data, develop actionable insights, and enhance operational efficiency. Candidates will gain hands-on experience, mentorship, and exposure to innovative technologies while working with multifunctional teams across Honeywell Technologies.

Summer 2027 interns will assist with designing and implementing IT solutions, support cybersecurity initiatives by analyzing protocols and recommending improvements, and collaborate with data science teams to generate actionable insights. The role offers hands-on experience, mentorship, professional development, and relocation support in a dynamic, cross-functional environment.

Summer interns will assist with designing and implementing IT solutions, support cybersecurity initiatives by analyzing security protocols and recommending improvements, and collaborate with data science teams to analyze data and develop actionable insights. The role offers hands-on experience, mentorship, professional development, relocation benefits, and short-term housing for eligible interns.