Top Remote Staff Software Engineer Jobs

Lead integration and validation of the Hivemind autonomy stack across simulation, HIL, and flight platforms. Configure sensors, drivers, communication interfaces, and platform adapters; develop integration tooling and CI/CD; analyze logs/rosbag to triage defects; collaborate with engineering and product teams to ensure interoperability, release readiness, and end-to-end system compliance.

Build and maintain parsing infrastructure, SDKs, data models, and services for hardware design collaboration. Develop parsers for circuit-design formats, binary file-merging capabilities, test harnesses, developer tooling, and performance improvements. Collaborate with engineering, product, sales, and other stakeholders to define interfaces, requirements, timelines, and constraints while driving autonomous, cross-functional projects.

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.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Build and operate autonomous AI agents for go-to-market workflows including inbound, outbound, pipeline management, and customer engagement. Develop evaluation frameworks, observability, human oversight, and ROI measurement for production agents. Ship MCP servers, agent skills, and web applications integrating CRM and revenue systems. Set technical direction, architect shared codebases, collaborate with sellers and RevOps, and advance best practices for LLM agents and evaluations.

Design, build, and operate high-throughput distributed systems for a real-money prediction and trading platform. Own Kafka-based event pipelines, low-latency data processing, scalability, reliability, and production issue resolution. Partner with product and engineering leadership on architecture and domain decisions, identify performance risks, and improve engineering standards through design documentation and code reviews.

Lead the architecture, development, validation, and maintenance of safety-critical embedded firmware for autonomous trucking systems. Design real-time software interfacing with sensors, actuators, compute platforms, and vehicle hardware. Provide technical leadership, mentoring, code reviews, task coordination, safety compliance, fault handling, and support for vehicle testing and field deployments. Develop HAL and BSP components, diagnose embedded issues, and help take products through production and customer-supported operation.

Lead the architecture, design, and development of complex backend software systems for data-intensive applications. Drive technical direction, implement new technologies, improve code quality, reduce technical debt, and promote testing and continuous delivery. Mentor engineers, conduct code reviews, collaborate cross-functionally with product and design teams, engage with customers, and help deliver maintainable, scalable solutions using backend technologies, databases, distributed computing, and cloud platforms.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Lead development of Luminai’s core platform, including shared frameworks, developer tooling, CI/CD, test infrastructure, observability, reliability, and IDE improvements. Architect high-performance backend systems, remove engineering bottlenecks, and establish secure defaults for authentication, authorization, and secrets management. Drive foundational technical initiatives and improve developer experience across the engineering organization.

Technical leader for Platform & Infrastructure building scalable, resilient cloud-native systems to support large AI workloads. Define architecture, mentor engineers, solve systemic infrastructure bottlenecks, design foundational platform services, and collaborate cross-functionally to ensure secure, high-performance operations.

Lead architecture and scaling of cloud-native infrastructure to support large AI workloads. Mentor engineers, decompose complex systems, design foundational platform services, and collaborate with product, research, and security teams to ensure secure, performant, and highly available GPU/ML infrastructure.

Designs and maintains Java and Spring Boot microservices for a secure, cloud-native foundation platform. Builds authentication and identity integrations using SAML, OAuth 2.0, OIDC, JWT, and RBAC; develops AWS infrastructure and resilient distributed systems; supports CI/CD, production operations, and on-call response. Provides technical leadership through architecture, code reviews, mentoring, and cross-functional collaboration while maintaining compliance with confidentiality, HIPAA, and regulatory requirements.

Lead end-to-end engineering for an AI-driven biomanufacturing platform: design and deploy LLM-powered agents and RAG systems, build full-stack React/Node.js/MongoDB platform and document intelligence pipelines, evolve AWS infra for GxP/Part11/SOC2 compliance, implement CI/CD, observability, and work with customers to integrate with LIMS/ERP/QMS.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

As a Staff Software Engineer, you will lead product development from design through deployment, collaborating on software for delivery operations including backend services and user products.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.

Lead design and implementation of a production inference platform for LLMs. Define roadmap, integrate and optimize inference runtimes, manage GPU infrastructure, and build systems for deployment, autoscaling, observability, and operational excellence. Benchmark models/runtimes, partner with ML and product teams, make architectural tradeoffs, and mentor engineers to scale AI infrastructure.

The Staff Software Engineer will build products using TypeScript, React, and Node, influence product direction, leverage AI, and collaborate on data modeling while supporting a flexible remote culture.

Lead design and implementation of identity resolution and data governance systems. Build batch and streaming pipelines, APIs, and services to ingest, normalize, link, and version identity data. Ensure auditable matching, data lineage, quality checks, schema enforcement, access controls, and privacy-by-design. Collaborate cross-functionally with product, analytics, legal, privacy, and security teams and create documentation, monitoring, and runbooks.

Design, prototype, and productionize Generative AI and LLM features across backend and frontend. Integrate ML models, fine-tune, perform prompt engineering, operate inference platforms, and support AI-based product launches while participating in on-call duties.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

Lead design, development, and deployment of advanced machine learning models and infrastructure. Own architecture, data pipelines, experimentation, validation, and team technical leadership to drive AI-driven product features and business value.

Lead the creation of an AI-powered software generation platform, partner with AI and infrastructure teams, and define success metrics to enhance developer experience.

Lead the architecture and reliability of a financial data extraction platform, reducing human validation reliance by enhancing accuracy and scalability of systems while leveraging AI-driven solutions.