Top Remote Staff Software Engineer Jobs

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

Lead architecture and delivery for a product engineering team, design and build production-grade distributed and LLM/agent-based AI systems, mentor engineers, set technical standards, and collaborate with product and design to secure customers' environments.

Lead frontend development for Cerbys Access Management platform, building scalable React/Next.js SaaS features (password vaults, auth/IdP integrations, graph RBAC). Drive security-first engineering, dependency governance, performance, accessibility, testing, observability, and AI-assisted workflows while mentoring engineers and collaborating cross-functionally.

Own and improve the end-to-end developer experience for AIMS ML teams: local/remote dev environments, build/test infrastructure, CI/CD, and internal platforms. Design, build, and operate large-scale build and CI systems, remove developer friction, instrument workflows, drive adoption, and set technical standards. Partner with ML researchers to prioritize productivity investments and evaluate/integrate GenAI-powered developer tooling with safety guardrails.

Own and scale the search, indexing, and data-scanning infrastructure for petabyte-scale data. Optimize hybrid lexical and vector retrieval for sub-second latency, design cost-effective hot/warm/cold data tiering and massive asynchronous scans, drive down latency and cost, and provide technical leadership for resilient, highly available indexing and retrieval systems.

Lead full‑stack design and architecture using .NET/C#/Angular and cloud (GCP/Azure). Collaborate across teams, ensure quality, testing, security, documentation, troubleshoot production issues, mentor engineers, and adopt AI tools to improve performance and processes.

The Staff Software Engineer will enhance developer productivity by designing tools, automating workflows, and mentoring teams on best practices in developer experience.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.

Contribute to the development of Waabi World, improve simulation scalability, and design orchestration software for autonomous vehicle simulations.

Design and develop high-quality applications, lead feature implementation, collaborate with cross-functional teams, and ensure scalable software solutions.

Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.

The Staff Software Engineer will lead technical direction, improving system design and mentoring others while writing code and collaborating across teams for a cloud-based generative coding platform.

Develop spatio-temporal machine learning models for automated driving, collaborate with experts on algorithm design, and ensure production-level implementation of perception systems.

Design and develop web applications, mentor teammates, shape architectural decisions, write clean code, conduct testing, and troubleshoot issues.

The role involves building AI-native tools for HR processes, collaborating with internal teams, and making independent architectural decisions. The engineer will engage directly with users to improve people practices throughout the employee lifecycle.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

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.

Lead architecture and technical direction for the NHI Governance domain, owning complex server-side initiatives to discover, assess, and remediate non-human identities across cloud and on-prem environments. Define standards, interfaces, and contracts; drive quality, security, observability, performance; mentor senior engineers; and partner with product and design to align technical strategy with business goals.

Own design, implementation, and production support of Windows kernel-mode enforcement drivers (filesystem, process/thread, handles, registry) and the kernel/user-mode enforcement boundary. Reduce enforcement latency at scale, extend enforcement to containers and isolation, ensure compatibility across Windows builds, handle driver signing and deployment, collaborate cross-platform on policy and the Rust userspace agent, and mentor engineers while driving technical direction and operational stability.

Own and architect Linux kernel-space enforcement for an identity security platform using eBPF and BPF LSM hooks. Build kernel and userspace enforcement boundary, optimize syscall hot paths, extend enforcement to containers and Kubernetes, ensure portability across kernel versions, collaborate on shared policy/backend, mentor engineers, and drive production-grade, low-latency security enforcement.

Provide technical leadership for embedded camera platforms, owning system architecture, on-device software, encoding, storage, streaming, and edge analytics. Lead JDM partner integration, cross-functional alignment, mentorship, architecture/code reviews, and adoption of AI-driven development tools to deliver robust edge devices.

The role involves building AI applications for government, architecting deployments, collaborating with research, and ensuring effective customer integration.

Lead end-to-end feature development across frontend and backend for an enterprise data analytics platform. Design, implement, and maintain React UIs, backend services, APIs, databases, and distributed systems. Collaborate with Product, UX, and Engineering, mentor engineers, improve quality through testing/CI, and introduce new technologies including AI-assisted development.

Lead end-to-end development of AI-powered features and shared AI services, own product loop from discovery to production, design data and system architecture, create reusable tooling and guardrails, mentor engineers, and ensure secure handling of sensitive school and family data.

The Staff/Principal Software Engineer will work in a remote global team, addressing software engineering challenges while fostering collaboration and clear communication.