Top Remote Engineering Jobs

Leads functional safety and reliability work for processor and SoC platforms across automotive, robotics, AI, and data center applications. Owns safety requirements, goals, traceability, risk analysis, verification, assessments, audits, certification, and customer support. Applies ISO 26262, FMEDA, fault modeling, diagnostic coverage, safety cases, and fault injection. Coordinates architecture, design, verification, software, quality, product, program management, and customer-facing teams while addressing RAS mechanisms and technical risks.

Leads mechanical system design, analysis, prototyping, testing, and production while managing project scope, schedules, budgets, risks, and documentation. Coordinates cross-functional teams and external partners, mentors engineers and technicians, conducts design reviews, troubleshoots failures, and ensures compliance with quality, safety, and industry standards. Drives process improvements and serves as a key technical liaison with customers, stakeholders, operations, product management, and quality assurance.

Build and maintain user-facing Android features in Kotlin, using Jetpack Compose and modern MVI/Clean architecture. Integrate RESTful APIs with OkHttp, write unit and integration tests, conduct code reviews, troubleshoot issues, and collaborate with product, design, backend, and QA teams through structured GitLab release cycles.

Provides global technical support for Mercury Marine delivery partners and customers. Supports new product development, propulsion system integration, vessel testing, installation audits, performance optimization, issue resolution, corrective actions, and product launches at boat manufacturers. Develops engineering tools, coordinates system solutions, documents product concerns, trains installation technicians, manages vessel personalities, and supports customer events. The role requires frequent collaboration with marine OEMs and 40% travel in Central Florida.

Architects modular, multi-tenant SaaS platforms and AI-driven engineering workflows. Owns service boundaries, module contracts, identity, security, cloud infrastructure, migrations, observability, and agent guardrails. Designs AI product features, selects model providers, establishes evaluation and cost controls, and reviews high-risk changes. Coaches developers on specification writing and agent orchestration while collaborating with product and engineering leadership.

Designs and develops mechanical product assemblies, fixtures, enclosures, and manufacturing processes for predictive-maintenance products. Responsibilities include SolidWorks modeling, component DFM/DFA, BOMs, drawings, material selection, prototype building and testing, structural integrity, regulatory compliance, and production readiness. The role coordinates with internal teams, supply-chain partners, and manufacturers while managing schedules and communicating progress on a distributed remote team.

Build and ship end-to-end full-stack features for a cloud-native cybersecurity SaaS platform. Use AI coding agents to generate specifications and code, then review outputs for correctness, security, and architectural fit. Develop agentic workflows, automation pipelines, APIs, data models, and microservices on public cloud infrastructure. Collaborate with distributed teams and security researchers to convert vulnerability intelligence into secure platform capabilities.

Designs and analyzes mechanical systems, equipment, packaging, and metrology products from concept through production. Responsibilities include CAD and surface modeling, injection-molded and machined part design, FEA, tolerance analysis, prototype assembly and testing, vendor coordination, BOM development, calibration techniques, assembly instructions, and mentoring other engineers and designers.

The DevOps Engineer develops and sustains secure, scalable Kubernetes environments and CI/CD pipelines for DoD data ecosystem deployments. Responsibilities include Helm and YAML configuration, STIG hardening, RBAC, secrets management, ArcGIS deployment automation, cloud resource estimation, governance tagging, integration testing, and workload cost optimization across AWS, Azure, and government impact-level environments.

Build and operate a multi-tenant platform encompassing Kubernetes infrastructure, infrastructure-as-code, shared CI/CD pipelines, security and compliance controls, observability, identity, networking, and cost visibility. Establish reusable platform standards, enforce software supply-chain security, support AI development environments, and drive adoption across product teams. Provide technical leadership through architecture decisions, proof of concepts, code reviews, documentation, and migration support.