• Develop AI Models and Algorithms: design and optimize AI models • Build and Integrate APIs: develop robust APIs using frameworks like Flask • Integrate AI into Tools and Applications: collaborate to enhance user experience • Utilize AWS for AI Deployment: leverage AWS for secure app deployment • Perform Large-Scale Data Processing: use big data technologies for analysis • Design Data Architectures and ETL Pipelines: ensure smooth data flow • Implement Testing and CI/CD: develop testing strategies and implement CI/CD • Conduct Code Reviews: participate in code reviews for best practices • Optimize AI Performance and Scalability: monitor and improve AI models • Collaborate and Innovate: work with teams to implement AI solutions • Stay at the Forefront of AI Research: remain updated with AI advancements.

• Design and implement high-performance, distributed, software systems in Rust, targeting cloud-native as well as resource-constrained and edge computing environments • Participate in system architecture, network topologies, hardware part evaluation, and engineering reviews for both existing product revisions and new systems • Develop software/models systems that supports human-in-the-loop and human-on-the-loop autonomy workflows for distributed operations • Build infrastructure enabling deterministic builds, reproducible environments, and configuration management to ensure traceability and maintainability • Implement and maintain systems with over-the-air (OTA) update mechanisms for field-deployed systems - virtual machines, containers, and embedded packages • Integrate software with microcontroller peripherals and hardware buses (SPI, I2C, UART, Ethernet, USB, AXI, etc.) • Develop and execute comprehensive experiment and test strategies including: • Unit testing • Software-in-the-Loop (SITL) • Hardware-in-the-Loop (HITL) • Functional, end-to-end system/field/scale testing • Collaborate with mission heroes and multidisciplinary teams to deploy and sustain systems, supporting integration and various exercises and operational events • Optimize systems for performance, reliability, power consumption, and maintainability

We’re looking for a strong Go / GCP Engineer to help build backend applications in a Google Cloud Platform environment. This role requires hands-on experience developing in Golang along with deep, practical knowledge of GCP services and how applications interact with them. This is a remote, W-2 long-term contract engagement with a Fortune 50 enterprise org. There is potential for long-term growth and additional opportunities, based on performance and business needs.

We’re looking for a strong Go / GCP Engineer to help build backend applications in a Google Cloud Platform environment. This role requires hands-on experience developing in Golang along with deep, practical knowledge of GCP services and how applications interact with them. This is a remote, W-2 long-term contract engagement with a Fortune 50 enterprise org. There is potential for long-term growth and additional opportunities, based on performance and business needs.