orchestration jobs in San Diego

Design, develop, and optimize production machine learning systems including model development, inference optimization, and scalable ML infrastructure. Build end-to-end ML pipelines from training through deployment, optimize model inference for latency and cost, integrate LLM/ML models into APIs and microservices, and engineer data pipelines for preprocessing and validation.…See more Requires strong software engineering fundamentals with deep ML expertise, proficiency in Python and systems languages, and experience with ML frameworks, model serving, and distributed computing.

Senior manager responsible for leading Deloitte's identity and access management (IAM) managed services delivery across multiple client accounts. The role requires 10+ years of IAM experience with 5+ years in managed services or IT operations leadership, hands-on expertise with platforms like SailPoint, CyberArk, Okta, or Entra ID, and the ability to drive service improvement through automation and modernization.…See more Responsibilities include account ownership, executive governance, financial performance management, team mentorship, and business development activities such as contract renewals and proposal response.

Software Systems Integration SME responsible for designing, developing, integrating, and sustaining resilient software applications in complex, mission-critical environments. Will provide senior technical leadership, mentor engineering teams, and coordinate across multidisciplinary groups to solve integration challenges across distributed systems, microservices architectures, and modern cloud platforms.…See more Expected to support DevSecOps and Agile practices, analyze system workflows and data flows, and translate complex technical topics for engineering, program, and operational leadership. Experience required in software architecture, requirements-driven design, software development lifecycle, and system interfaces.

Build applied AI systems for Crucible, Firestorm's manufacturing operations software. You'll productionize ML and optimization models, integrate foundation models and LLMs into workflows, and design end-to-end AI capabilities—from model selection and evaluation through reliable production deployment across cloud, air-gapped, and edge environments.…See more This is a hands-on engineering role requiring 5+ years shipping production ML/AI systems, strong Python and software engineering fundamentals, and deep experience with LLMs, transformer models, and production ML monitoring.

The Cybersecurity Analyst leads Bumble Bee's day-to-day cybersecurity operations, investigating and responding to security incidents, hunting threats, and tuning detection tooling. The role owns the full incident response lifecycle, manages vulnerability remediation, optimizes SIEM platforms, conducts security risk assessments for platforms and vendors, and maintains compliance through access control reviews and policy development.…See more The analyst builds incident response playbooks, monitors threat intelligence and CVE disclosures, and advises on third-party cyber risk. The position requires 4+ years of cybersecurity experience, proficiency with SIEM platforms, EDR tools, vulnerability management, MITRE ATT&CK framework, and knowledge of NIST, SOC, and ISO standards.

Senior Software Engineer who will drive Linux innovation for Qualcomm's next-generation server-class CPUs by building and optimizing Linux distribution support, infrastructure, and CI/CD automation. Responsibilities include bringing up Linux kernel and userspace on new server-class hardware, implementing build and packaging workflows, debugging platform issues, and supporting upstream readiness for major Linux distributions.…See more The role requires proficiency in C, C++, Python, and Bash, with deep experience in enterprise Linux distributions (RHEL, Ubuntu, Fedora, Debian), packaging systems (RPM, Debian), and CI/CD tools (GitHub Actions, Jenkins). The engineer will collaborate across hardware, firmware, and open-source communities while working with moderate autonomy under supervision.

Staff Engineer responsible for building and integrating core platform infrastructure for autonomous systems across SIL, HIL, VIL, and edge deployment workflows. The role involves developing reference implementations, platform tooling, and developer infrastructure while integrating hardware, sensors, controllers, and APIs.…See more Requires 5+ years of software engineering in robotics, autonomy, or embedded systems; strong C++ and Python skills; and hands-on experience debugging across Linux systems, hardware interfaces, and embedded communication using diagnostic tools.

VP-level leadership role overseeing end-to-end software architecture and development for Qualcomm's data center CPU platforms, including server firmware, networking, platform management, and cloud-native infrastructure. Responsible for defining the software roadmap spanning compilers, runtimes, orchestration, lifecycle management, and customer deployment readiness.…See more Will build and scale a global software engineering organization, establish engineering best practices and release discipline, and serve as a senior technical engagement point for hyperscaler and enterprise customers. Requires 15+ years of systems/infrastructure/data center software experience and 6+ years managing engineering teams and complex cross-functional execution.

Staff Engineer responsible for platform integration across simulation (SIL/HIL/VIL) and edge deployment workflows for autonomous systems. Will own reference implementations, developer tooling, and orchestration frameworks while integrating hardware, sensors, controllers, and APIs across Linux-based systems.…See more Requires 5+ years in robotics, autonomy, or embedded systems with strong C++ and Python skills, plus hands-on experience debugging embedded interfaces using oscilloscopes and protocol analyzers. Will partner cross-functionally to improve platform stability, scalability, and developer experience for mission-critical products.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for the Enchant multimodal transformer model. You will develop LLM-based agents that generate reproducible data pipeline code, implement automated quality-control workflows, and maintain distributed pipelines in production.…See more The role combines strong software engineering with scientific understanding of biomedical data formats and ETL design, working at the intersection of LLM automation and data engineering.

A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).…See more You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.

Senior Developer on Dell's Office of the CTO team responsible for developing new AI applications from concept to production. You'll work across the full stack in small cross-functional teams, rotating through projects involving generative AI, data engineering, and MLOps.…See more The role requires solid programming fundamentals, experience or strong interest in DevOps/XP practices (microservices, CI/CD, containerization), and proficiency in languages like Python, Go, Java, C++, or JavaScript.

Senior Developer role focused on developing new AI applications from concept to production within Dell's Office of the CTO. You'll work on small cross-functional teams using pair programming and agile methodologies, rotating through different projects and technologies across the full stack.…See more Required: strong programming fundamentals, proficiency in Go, Python, Java, JavaScript, C++, Bash, or similar languages, plus interest in DevOps practices (microservices, CI/CD, containerization), generative AI, and MLOps. Desired: 5+ years of software development experience, data engineering skills, and familiarity with GenAI frameworks like LangChain.

Senior AI Subject Matter Expert responsible for developing intelligent data processing and NLP pipelines, AI-enabled dashboards, and proofs-of-concept for AI use cases. The role requires 7+ years of professional experience with advanced expertise in LLM APIs, RAG architectures, agent-based development, generative AI coding tools, and secure AI deployment patterns.…See more Responsibilities include prototyping emerging AI developer tooling, mentoring engineering teams on generative AI workflows, and identifying software lifecycle areas that can be accelerated through AI and automation. The candidate must critically evaluate AI-generated code for correctness and security, understand AI-specific security risks across the full SDLC, and scope requirements for engineering solutions that meet business challenges with measurable outcomes.

This role leads the design, development, and integration of ashore and afloat network and cloud-agnostic system architectures for Naval infrastructure, with a focus on Windows Server–based enterprise IT systems and hybrid cloud migration. The architect will conduct system assessments, develop detailed workload migration plans, collaborate with cross-functional teams, and provide guidance during implementation to ensure architectural compliance.…See more The position requires 12+ years of enterprise systems engineering in DoD environments, hands-on experience with Red Hat, Microsoft, AWS, Azure, SAN, HCI, virtualization, and DoD cybersecurity compliance frameworks. A Secret clearance is required, and the candidate must obtain a DoD 8570.11 IAT Level II certification (Security+, CCNA Security, GSEC, or SSCP) within 30 days of start.

Lead the design, development, and integration of ashore and afloat network and cloud-agnostic system architectures for Naval infrastructure, spanning enterprise IT systems, cloud migrations, and hybrid environments. Collaborate with cross-functional teams to conduct system assessments, develop detailed workload migration plans with risk mitigation strategies, and provide architectural oversight during implementation.…See more Required: 12+ years of DoD enterprise systems engineering experience, proficiency with Red Hat and Microsoft technologies, AWS and Azure cloud architecture, infrastructure-as-code, SAN/HCI/DR architectures, and DoD cybersecurity compliance (RMF, STIGs). Must obtain DoD 8570.11 IAT Level II certification within 30 days of start.