distributed-systems jobs in San Diego

Shield AI seeks software engineering interns for a 10–12 week paid program working on autonomous systems across applications, embedded firmware, machine learning, and systems platforms. Interns will analyze requirements, write production-quality code, and ship real features alongside full-time engineers using Agile practices.…See more Candidates should have proficiency in modern programming languages (C, C++, Python, Java, or JavaScript), solid foundations in data structures and algorithms, version control experience, and strong problem-solving skills. The role offers hands-on mentorship and potential for a full-time offer upon completion.

Lead AI software strategy and architecture for Qualcomm's automotive platform, directing deployment of computer vision, perception systems, LLMs, and generative AI workloads. Drive architectural decisions across multiple products and customer programs while mentoring cross-functional teams.…See more Ensure solutions meet automotive safety, performance, and reliability standards. Requires 8+ years of software/systems engineering experience with deep expertise in AI/ML, C/C++, and automotive software environments.

Founding Product Engineer to build a greenfield Physical AI product for fleet safety and operations. The role spans full-stack development across cloud infrastructure (AWS, containers, CI/CD), multi-tenant backend systems with RBAC and SSO, real-time dashboards, compliance analytics, and AI-agentic features for alert triage and coaching workflows.…See more You'll own end-to-end problems from edge devices to cloud to user experience, shipping fast with direct customer feedback, and working across backend (Go, Python, Java), frontend (TypeScript/JavaScript), infrastructure, and AI integration. Requires 7+ years of software engineering with demonstrated range across multiple technical disciplines.

Principal Software Engineer leading AI software strategy and architecture for Qualcomm's automotive platform. Responsibilities include architecting and deploying advanced AI workloads (computer vision, LLMs, multimodal models, generative AI) on automotive systems, driving cross-functional technical decisions across AI, automotive engineering, and platform teams, mentoring engineers organization-wide, and ensuring solutions meet automotive safety, performance, and reliability requirements.…See more Requires 8+ years of software/systems engineering experience (or equivalent with advanced degree); preferred qualifications include 15+ years in AI/ML, embedded systems, or automotive software, expert C/C++ proficiency, and demonstrated experience with automotive safety standards (ISO 26262, ASPICE), edge AI inference, and Qualcomm AI frameworks.

Senior Software Engineer role building scalable backend services and user-facing features for sleep health diagnostics workflows at an early-stage product team. The role emphasizes hands-on delivery, code quality, system design ownership, and production responsibility including monitoring and on-call support.…See more You will collaborate across Product, Design, and engineering teams while practicing AI-native development methodology using tools like Copilot and Claude. Requires 5+ years of backend engineering experience (Java/Spring Boot preferred), distributed systems knowledge, cloud deployment experience (AWS, Azure, or GCP), and comfort in enterprise environments with CI/CD and compliance controls.

Lead a team of engineering managers and software engineers building distributed agentic systems and AI-powered developer platforms at ServiceNow. You'll drive technical strategy for highly scalable, fault-tolerant systems; mentor teams; and architect foundational capabilities that improve developer experience for AI-first development.…See more This role requires 8+ years of software engineering experience with proven distributed systems expertise, 3+ years managing high-performing teams, and deep hands-on knowledge of Node.js, TypeScript, Kubernetes, and cloud-native infrastructure.

Staff-level engineer leading technical vision and architecture for the Resident Concierge product, a SaaS platform for property managers and residents. Responsible for designing and scaling distributed systems to handle 10x traffic growth, mentoring engineers, and collaborating with product, design, and ML teams to integrate generative AI capabilities.…See more Requires 8+ years building and scaling web applications, proven leadership on high-stakes projects, and hands-on experience adopting AI tools; will own the full lifecycle from discovery through production.

Join ByteDance's multimedia research lab as a Research Scientist to analyze, model, and optimize large-scale streaming systems serving billions of users. You will design novel algorithms and architectures for next-generation immersive media formats (360-degree video, volumetric video, light field), develop QoE evaluation metrics and methodologies, and conduct research at the intersection of multimedia, distributed systems, and networking.…See more Success requires a PhD in Computer Science, Electrical Engineering, or related discipline; strong fundamentals in algorithms, data structures, systems, and networking; and a proven publication track record in multimedia, networking, or systems research.

As a Staff AI Engineer, you will lead the design and evolution of Teradata's enterprise AI platforms, owning architecture decisions for agentic AI, LLM systems, RAG pipelines, and vector stores. You will operate with high autonomy, partner with product and architecture leadership, and drive technical strategy across multiple engineering teams.…See more The role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep expertise in distributed system design, cloud-native architectures, and production AI systems. You will also mentor senior engineers, establish engineering standards, and serve as a technical escalation point for complex system design and reliability challenges.

Lead a team to improve engineering efficiency and product quality in software development for 5G and RAN optimization. Design and implement scalable, production-grade software solutions using distributed systems and AI principles.…See more Serve as a technical expert and staff-level contributor, mentoring development teams, driving architecture decisions, and translating telecom requirements into robust code while collaborating with site reliability engineers and cross-functional teams.

Senior Software Engineer responsible for designing and implementing scalable solutions for a proprietary learning management system (LMS), modernizing application architecture, and building high-quality full-stack software. The role requires 8+ years of professional software development experience and 5+ years designing enterprise-scale applications, with deep expertise in .NET, C#, Azure, React, TypeScript, and microservices architecture.…See more Responsibilities include leading architectural decisions, supporting CI/CD and automation initiatives, participating in code reviews, reducing technical debt, and mentoring junior engineers while collaborating across Product, QA, and DevOps teams.

Lead a team of 6–10 engineers building and operating core cloud-native platform services on Kubernetes and hyperscalers. Own end-to-end delivery, team development, and technical direction while staying hands-on with design reviews and architectural decisions.…See more Establish SLOs, on-call practices, and operational excellence across AWS, Azure, GCP, and on-prem environments. Act as a player-coach who combines people leadership with deep technical judgment on distributed systems, containers, CI/CD, and infrastructure-as-code.

Staff-level backend engineer responsible for setting technical strategy and owning search and recommendation systems at scale. You'll design and launch highly available distributed systems using Python or Kotlin, collaborate across product/design/analytics to balance technical sustainability with business impact, and lead a team through code review standards, mentorship, and operational excellence.…See more The role requires 8+ years of backend systems experience, 2+ years in search/recommendations, and proficiency with AWS, MySQL, Kubernetes, and modern architecture patterns.

Senior Principal Software Engineer leading system-level integration of embedded, real-time, distributed defense systems involving navigation sensors, shipboard networking, and multi-processor platforms. You will conduct advanced debugging and root-cause analysis, develop architectural models and design documentation, mentor engineering teams, advise program leadership on technical trade studies and modernization strategies, and drive CI/CD, DevSecOps, and automated testing initiatives across large organizations.…See more Requires 10+ years of C/C++ embedded systems experience, Linux systems programming, distributed systems architecture, and proven technical leadership.

Senior software engineer focused on building cloud-based backend services and data platforms for medical device systems at Dexcom. Design and develop end-to-end data pipelines supporting large-scale ingestion, transformation, and storage, while building and maintaining APIs that expose data to internal systems, partners, and mobile apps.…See more Collaborate with Data Engineers, AI/ML Engineers, and Platform teams to integrate AI insights into production systems, ensuring high standards for reliability, performance, scalability, and data quality. Lead through code reviews, design mentorship, and technical guidance while contributing to architecture decisions and long-term platform roadmap.

Senior Software Engineer at Collins Aerospace responsible for advanced debugging and root-cause analysis of complex software issues in mission-critical shipboard systems. Will architect and optimize CI/CD workflows, champion secure coding and DevSecOps practices, and mentor junior engineers.…See more Requires 5+ years of professional software engineering experience with proficiency in C, C++, Python, or Java; Linux development; and experience integrating navigation sensors, timing signals, or distributed messaging frameworks in real-time systems.

Senior Principal Software Engineer leading system-level integration of embedded, real-time, distributed defense systems with deep expertise in C/C++, Linux, and mission-critical architecture. Responsibilities include conducting advanced debugging and root-cause analysis on large distributed components, developing high-fidelity design documentation and architectural models, and providing technical leadership and mentoring to engineering teams.…See more Will advise program leadership on architecture, system feasibility, technical trade studies, and modernization planning while recommending improvements to engineering processes, CI/CD workflows, and DevSecOps practices across multi-team organizations.

Shield AI seeks an experienced Site Reliability Engineer to establish and mature the SRE function across Hivemind's cloud infrastructure and platform services. This hands-on leadership role involves defining reliability targets (SLIs/SLOs), improving observability and incident response practices, investigating complex failures, and driving adoption of reliability-first engineering practices.…See more The SRE Lead will mentor teams, develop operational automation tooling, and manage the multi-quarter SRE roadmap while working closely with Cloud Engineering and product teams to enhance system resilience and operational excellence.

Amazon is hiring a Software Development Engineer for their Leo for Government division. The role requires 3+ years of professional software development experience and 2+ years of systems design and architecture expertise.…See more You will design and develop large-scale, multi-tiered, distributed software applications using C#, C++, Java, or Perl, with strong emphasis on object-oriented design, code reviews, and full software development lifecycle practices.

As a Software Engineer (IC2) on ServiceNow's Data Platform team, you will design and develop scalable backend components for SQL generation into Trino, PostgreSQL, MariaDB, and Oracle databases, as well as manage table metadata and data access across multiple data sources. You'll own features from design through delivery, collaborate with product managers to translate requirements into well-architected solutions, and develop comprehensive test strategies covering functional, regression, integration, and performance aspects.…See more The role requires proficiency in Java backend development, strong knowledge of data structures, algorithms, and performance optimization, plus experience with relational databases, CI/CD pipelines, and automated testing frameworks. You'll participate in design and code reviews, troubleshoot complex systems, and foster engineering craftsmanship across the team.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. You'll lead the technical roadmap for agent management—from discovery and provisioning through task orchestration—while ensuring safety, compliance, and governance by design.…See more Working cross-functionally with product, platform, and research teams, you'll build foundational infrastructure for multi-agent collaboration, memory management, and extensibility, driving adoption across the enterprise. The role requires 8+ years in software architecture, backend systems, and Kubernetes/AI infrastructure, with deep expertise in LLM frameworks (LangChain, AutoGen, CrewAI), cloud platforms (AWS, Azure, GCP), and identity/access control patterns.

Lead end-to-end AI platform architecture and design for generative AI solutions, including LLMs, RAG systems, and agentic AI. Build MLOps/LLMOps pipelines with automated CI/CD, model serving infrastructure, and vector database integration on enterprise cloud platforms.…See more Establish best practices, mentor engineering teams, and drive seamless AI application integration into production systems while optimizing for scalability, security, and performance.

Senior Software Engineer role at CoStar focused on designing and building production applications using C# and .NET on AWS cloud infrastructure. The position emphasizes leveraging Claude AI for code generation, refactoring, and analysis, while building and operating scalable, cloud-native solutions.…See more Requires strong AWS hands-on experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), API and backend service development, and solid software design principles. Preferred qualifications include Databricks experience, microservices/distributed systems knowledge, CI/CD and DevOps practices, and Infrastructure-as-Code tools like Terraform and CloudFormation.

CoStar seeks a Senior Software Engineer to design and build production applications using C# and .NET on AWS, with hands-on experience leveraging Claude for AI-assisted development. The role focuses on building scalable, cloud-native solutions and involves building APIs, backend services, system design, code reviews, and mentoring.…See more Required skills include strong C# and .NET expertise, hands-on AWS experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), Git workflows, and software design principles. Preferred qualifications include practical Claude experience, Databricks, microservices, CI/CD pipelines, and infrastructure-as-code tools like Terraform or CloudFormation.

Staff Data Engineer at Illumina seeking a senior individual contributor with 10+ years building and scaling data products on Databricks and Snowflake. The role spans end-to-end ownership of data pipelines across Supply Chain, Manufacturing, and Quality domains, requiring advanced Python, SQL, and data modeling skills with hands-on expertise in Spark, Delta Lake, dbt, and distributed systems design.…See more Responsibilities include designing medallion-architecture data products, embedding governance and data quality, adopting AI in analytics workflows, and mentoring a global engineering team. The candidate will set technical standards, lead architecture decisions, and communicate trade-offs across business, AI, and platform stakeholders.