Software Gigs

This role involves evolving Qualcomm's Robotic Process Automation capabilities into next-generation agentic automation solutions. The Senior Agentic Automations Engineer will design and deploy AI-driven agents, enterprise chatbots, and workflow engines, leading technical delivery across a global team while integrating RPA platforms like Automation Anywhere with containerized architectures. Key responsibilities include defining automation standards, building full-stack enterprise applications, and ensuring secure integration with enterprise systems using Docker, Kubernetes, and agentic frameworks like LangGraph and n8n.

Design, develop, and optimize machine learning systems for production AI platforms, including model development, inference optimization, and scalable ML infrastructure. Build training-to-deployment pipelines, optimize model serving for latency and cost, and integrate LLMs and generative AI models into microservices and APIs. Develop data pipelines for ingestion, preprocessing, and feature engineering while collaborating cross-functionally with product, platform, and hardware teams to deliver end-to-end ML solutions.

Senior Software Engineer working within the Knowledge Exploitation & Decisions Systems Group to build scalable microservices and high-performance APIs for command & control, trusted AI, and advanced reasoning systems. You will take technical ownership of features within a mature mission planning solution, translating complex mathematical models from PhD scientists into production-grade software. Required: 5+ years (BS) or 1-2+ years (MS) of professional experience building maintainable APIs; strong proficiency in Java 17+, Spring Boot, and object-oriented design patterns; experience with Linux, Docker, Kubernetes, and DevSecOps practices.

As a Senior Systems Engineer for Data Center AI at Qualcomm, you will research, develop, optimize, and validate AI/ML solutions that integrate Qualcomm's hardware accelerators with software and ecosystem to deliver high-performance inference in datacenter environments. You will design and deploy Gen AI and LLM applications, implement fine-tuning and distillation techniques, perform model benchmarking, and drive system-level architecture decisions. You will collaborate across functional teams to meet system-level requirements while staying current with advances in AI/ML models and hardware. Required skills include strong Python proficiency, expertise in ML frameworks (PyTorch, TensorFlow), deep understanding of ML deployment and system performance profiling, and experience with parallel computing.

Own and deliver small to medium machine learning system components from design through production deployment, including building data pipelines, training and evaluating models, and implementing MLOps monitoring. Write high-quality Python code to translate technical requirements into maintainable solutions, working with frameworks like scikit-learn, TensorFlow, PyTorch, and HuggingFace. Design and deploy ML models as microservices, APIs, batch jobs, or streaming components on AWS, with responsibility for model performance metrics, data drift detection, and retraining triggers. Collaborate across Data Engineers, Software Engineers, Data Scientists, and product stakeholders to deliver project objectives.

Join Qualcomm's Enterprise AI Engineering organization as a BizAI Tech Functional Engineer, bridging business stakeholders in Finance, Sales, and SCM with the AI engineering team. You will design and deliver AI-driven agents, natural-language analytics, and workflow automations on Qualcomm's unified BizAI platform, integrating with enterprise systems like Databricks, Oracle, Salesforce, and M365. The role requires full-stack technical expertise (Python, TypeScript, FastAPI, n8n, Kubernetes) combined with functional fluency to translate process pain points into governed, production-grade solutions that meet SOX, security, and auditability standards. You'll support adoption through enablement and hands-on guidance while defining standards for scalability and compliance across the enterprise.

Senior DevOps / Platform Engineer (Level III) responsible for designing and maintaining CI/CD pipelines, automating infrastructure for predictable environments, and supporting containerized platforms in secure, regulated defense settings. The role requires 5+ years of hands-on experience with Kubernetes, container technologies (Docker, Podman, Buildah), CI/CD tools (GitLab, Jenkins, AWS CodeBuild), infrastructure-as-code (Terraform, Ansible, CloudFormation), and Linux systems. You will work directly with software and cyber engineers to solve delivery problems, build microservices pipelines, and adapt to evolving program requirements across U.S. Navy modernization initiatives.

Ignite Digital seeks an AI Engineer to own the end-to-end machine learning lifecycle—from data preparation and model training through production deployment and monitoring. You will integrate AI models into frontend and backend systems, optimize performance for latency and cost, and collaborate with technical leads and customers to deliver Data and AI solutions. The role requires strong Python and cloud platform expertise (AWS, Azure, or GCP), software engineering fundamentals, and the ability to communicate technical opportunities and limitations across varying levels of technical experience.

Staff Software Engineer responsible for adapting mobile control station software applications to a cloud environment, with focus on Infrastructure-as-Code, containerization, and deployment to Il-5 cloud infrastructure. Will collaborate across Software Engineering, Systems Engineering, Cloud & Application, and DevOps teams in an Agile environment, working on containerization, instrumentation, integration, security, and system testing. Requires 8-12 years of software engineering experience (depending on degree level) and hands-on expertise with cloud platforms, infrastructure components, IaC tooling, Docker/Kubernetes, software-defined networking, and scripting/coding languages.

Lead the architectural design of server-side, backend, and cloud platform capabilities supporting Dexcom's continuous glucose monitoring products. Collaborate across product, cybersecurity, firmware, data, and mobile teams to translate business and regulatory requirements into secure, scalable, and maintainable platform solutions. Establish architectural direction for distributed services, APIs, data pipelines, event-driven systems, and shared platform capabilities. Guide technology exploration, system integration, performance testing, and serve as an authority for platform architecture principles and modern backend development practices across the organization.

Staff-level frontend engineer leading the Identity team to build next-generation authentication systems across MailChimp and QuickBooks. You will architect and develop Kubernetes-based services, design hosted authoring and administrative UIs, mentor engineers, and drive technical decisions across the full SDLC. Requires 8+ years building enterprise cloud-native applications, strong React/JavaScript and Python skills, microservices and API design expertise (REST, GraphQL), and proven leadership in cross-functional environments.

Own and evolve infrastructure, deployment systems, and cloud environments powering Clinically AI's healthcare AI platform. Design and maintain GCP infrastructure with focus on GKE, Kubernetes, and secure multi-environment deployments; build Infrastructure-as-Code using Terraform and Helm charts; optimize CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response. Work closely with Backend, AI, and Product teams to support scalable infrastructure for services, AI pipelines, and high-throughput workloads.

Lead the design and development of Mailchimp.com's front-end platform, architecting performant, scalable web experiences that drive prospect conversion and business growth. Mentor a team of engineers, mentor technical staff, and serve as the technical subject matter expert for the DotCom team's hosted authoring environment, administrative UIs, and runtime application UI generation. Design and implement secure, reliable services using modern web technologies (JavaScript/React, Python, microservices, GraphQL) while collaborating with product, design, and architecture teams to align technical solutions with business goals. Lead functional requirements gathering, technical specifications, and solve complex programming and design problems across the full software development lifecycle.

Own and evolve the cloud infrastructure, deployment systems, and CI/CD pipelines powering Clinically AI's healthcare platform on GCP. Design and maintain cloud infrastructure using GKE, Terraform, and Helm; build reliable CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response processes. Work closely with Backend, AI, and Product teams to support scalable infrastructure for AI pipelines, real-time processing, and multi-environment deployments. Operate with significant autonomy across cloud-native architecture while optimizing for performance, reliability, cost, and compliance.

Junior to mid-level .NET developer role building enterprise web applications with C# and ASP.NET Core in Fremont, California (onsite). Responsibilities include developing and maintaining REST APIs, building responsive Angular UIs, designing microservices, optimizing SQL queries, and integrating caching (Redis) and event-driven messaging (Kafka). Requires 3–5 years of .NET experience with enterprise applications and distributed systems.