Top Remote Principal Software Engineer Jobs

Lead the evolution of Backcountry's ecommerce platform, guiding architecture, mentoring teams, and driving modernization and scalability initiatives.

Design and maintain backend systems, influence technical direction, ensure scalability and reliability, mentor engineers, and improve engineering practices.

Design and operate backend systems, influence technical direction, improve practices, and mentor engineers while ensuring software scalability and reliability.

Drive architecture, design, and implementation of large-scale software systems. Lead technical strategy, mentor engineers, collaborate cross-functionally, ensure code quality and operational reliability, and guide delivery of complex features and platform improvements.

As a Principal Software Engineer at Autodesk, you will shape technical direction, solve complex design automation challenges, and collaborate with cross-functional teams to deliver user-facing products. You'll work hands-on with cloud-based systems and drive architectural decisions, contributing to sustainable solutions in design.

Lead design and reliability of a financial data extraction platform, minimizing human validation through AI, and enhance system correctness for scale.

The Principal Software Engineer will design a semantic model architecture for data products, ensure performance, and lead technical initiatives while collaborating with teams to optimize data consumption across the platform.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.

Lead architecture and engineering across multiple teams and principal engineers to accelerate delivery, optimize cloud costs, create reusable foundational code and POCs, mentor engineers, resolve high-priority incidents, align technology strategy with vendors, and drive portfolio-level innovation and process improvements.

Lead design and delivery of scalable, secure full-stack systems; mentor engineers; integrate AI-driven and agent-based workflows; ensure cloud-native, containerized deployments and secure SDLC practices.

As a Principal Software Developer, you will lead the technical direction and implementation of Autodesk's Viewer platform, drive architectural practices, and mentor engineers across teams.

Design, build, and operate core backend systems and end-to-end solutions. Own production services, drive architecture, improve CI/CD and infrastructure automation, mentor engineers, and ensure scalability, reliability, security, and observability.

The Principal Software Engineer will lead the development of Node-based applications, ensuring alignment with business goals and mentoring engineers. Responsibilities include designing scalable systems, managing product requirements, and utilizing AI tools for software development.

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

The Principal Software Engineer leads the design and development of scalable software solutions, mentors engineers, and drives architectural decisions while collaborating with cross-functional teams.

Build and evolve server and agent tool surfaces for LLM clients, ship frontend features and tRPC/React routes, design public API layer with auth and rate limiting, integrate new data sources, and own performance, reliability, security, and observability end-to-end.

Lead development and optimization of high-performance LLM inference pipelines across data center, edge, and embedded platforms. Improve latency and throughput via custom CUDA kernels, quantization, KV-cache and batching strategies, and deploy efficient, production-ready runtimes without external vendor dependency.

Lead architecture and delivery of enterprise AI data platform transformations. Design and implement scalable lakehouse, streaming, and real-time analytics solutions. Lead migrations from Databricks/Snowflake/Azure/AWS to Oracle AI Data Platform, optimize Spark workloads, build reusable accelerators, drive AI/ML data pipelines and governance, advise executives, influence product roadmap, and mentor senior engineers globally.

Lead technical direction for a Ruby on Rails-based platform, design cross-cutting systems (data models, APIs, clinical workflows), write full-stack code, mentor engineers, evaluate tradeoffs, collaborate with product/design/clinical teams, and champion high standards and domain expertise in pediatric behavioral health.

Lead architecture and implementation of a next-generation, low-latency big-data compute platform for PBM finance. Design scalable batch/streaming/OLAP systems, drive ADRs, mentor senior engineers, partner with finance/actuarial, and deliver production-grade JVM-based services with strong performance, observability, and CI/CD practices.

Lead architecture and development across 4-6 teams, create reusable foundational code and POCs, optimize cloud costs, drive technology strategy and roadmaps, mentor and evaluate engineers, handle escalations and outages, coordinate with vendors, and evangelize tooling and best practices.

Lead AI strategy and delivery: define technical direction, prototype and ship production AI features, build shared AI platform components (evaluation, retrieval, safety, observability), mentor senior engineers, and drive measurable business outcomes for early education customers.

Serve as technical lead between NVIDIA and hyperscale CSPs on GPU firmware and system software. Drive firmware update orchestration, recovery procedures, multi-GPU coordination, telemetry/health monitoring, and incorporate CSP feedback into NVIDIAs roadmap to improve fleet-scale manageability and reliability.

Lead technical engagements with cloud service providers on rack-scale system software and firmware. Drive architecture alignment, integration readiness, error handling and recovery, health telemetry, firmware orchestration, and serviceability. Capture CSP feedback, influence NVIDIA system software design, improve tooling and tests, and mitigate execution risks through early collaboration.

Serve as NVIDIA's CSP-facing principal for end-to-end performance: drive characterization with hyperscaler engineering teams, gather and synthesize workload feedback, prioritize optimizations across CUDA/NCCL/driver/firmware, validate benchmarks and tools, update stress/profiling tooling, define test strategies, and ensure performance integration and acceptance for customer-representative configurations.