Base Salary
$105k - $235k/yr
Responsibilities
- Design, develop, and operate cloud-native services for robot registration, identity management, mission orchestration, fleet management, telemetry, digital twins, and software lifecycle management.
- Build scalable backend services using distributed systems and microservice architectures.
- Design secure APIs, service contracts, SDKs, and edge interfaces for integrating robots from multiple vendors.
- Develop AI-assisted, spec-driven robot onboarding capabilities, including generated contracts, integration specifications, adapter implementations, and developer guidance.
- Build reusable edge service frameworks and standardized cloud interfaces for robot integration.
- Collaborate with robotics, AI, cloud infrastructure, security, developer services, and product teams.
- Improve the reliability, scalability, observability, security, and performance of distributed cloud services.
- Participate in architecture reviews, technical design discussions, code reviews, and cross-functional collaboration.
- Deliver high-quality, maintainable, and well-tested production software.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Robotics, or a related technical field.
- At least 7 years of software development experience building backend services or cloud platforms.
- Strong programming skills in one or more of Python, Go, Java, or C++.
- Experience building APIs, distributed systems, scalable production software, and cloud platforms.
- Familiarity with Docker, Kubernetes, CI/CD, and container orchestration.
- Strong software design, debugging, problem-solving, communication, and collaboration skills.
- Preferred: master’s degree in Computer Science, Robotics, or a related field.
- Preferred: experience with ROS 2, DDS, MQTT, OPC-UA, VDA5050, or similar industrial protocols.
- Preferred: experience integrating robots, autonomous systems, IoT devices, or edge systems with cloud services.
- Preferred: understanding of robot navigation, localization, perception, teleoperation, mission execution, fleet management, or digital twins.
- Preferred: experience with NVIDIA Isaac Sim, Gazebo, or Webots.
- Preferred: exposure to AI-powered robotics, embodied AI, vision-language models, or agentic AI systems.
- Preferred: familiarity with secure robot identity, edge computing, OTA software deployment, workload identity, or zero-trust architectures.
- Preferred: experience designing service contracts, APIs, SDKs, adapter frameworks, or developer platforms for heterogeneous systems.
Benefits
- US hiring range is $104,500–$234,600 per annum, with possible bonus, equity, and compensation deferral.
- Medical, dental, and vision insurance, including expert medical opinion.
- Short- and long-term disability, life insurance, AD&D, supplemental life insurance, and flexible spending accounts.
- Pre-tax commuter and parking benefits.
- 401(k) savings and investment plan with company match.
- Paid vacation, 11 paid holidays, and paid sick leave.
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan.
- Financial planning, group legal, and voluntary auto, homeowner, and pet insurance benefits.
- Applications are generally accepted for at least three calendar days or while the posting remains open.
About Oracle
Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at scale. Oracle Cloud Infrastructure (OCI) provides fast, flexible, scalable AI infrastructure. With superior compute performance and network design, a comprehensive choice of AI services for developing and orchestrating agentic AI workflows at scale, and unrivaled data control, security, privacy, and governance, OCI is designed for AI workloads. It also gives customers the flexibility to run their workloads wherever they need by supporting public cloud, multicloud, hybrid cloud, sovereign, and on-premises deployments. The Oracle AI Database is the only database with AI natively built in everywhere. By bringing AI to where data lives, the Oracle AI Database delivers enterprise-grade AI securely, cost-effectively, and at scale. In-database machine learning and vector search enable AI models to run where data resides. Support for multi-modal data (structured, unstructured, graph, vector) enables richer AI use cases. The Oracle AI Data Platform enables organizations to build, deploy, and govern AI agents and applications on top of private, secure, and distributed enterprise data. This enables organizations to operationalize AI without compromising data security or control. Oracle Applications embed AI directly into business workflows and industry processes to ensure AI is delivered in context, where work happens. They include the only applications suite that brings AI to every aspect of a business, with AI-powered ERP, HCM, and CX applications, and the Oracle Health Suite which provides applications for managing the entire healthcare ecosystem. Oracle also provides industry-specific cloud application suites for more than two dozen industries and NetSuite, the world’s first cloud computing company. This LinkedIn page serves as Oracle’s official global company page.