Design, develop, and deliver production-grade agentic AI systems that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows.
Compensation
The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).
Responsibilities
Architect modular, reusable AI application patterns
Integrate multiple model providers such as cloud-hosted, local, and hybrid
Define the direction of mission-critical agentic systems by selecting and combining prompting strategies, RAG architectures, agentic workflows, and fine-tuned or foundation models
Embed with internal teams to map workflows, find the largest bottlenecks, and redesign the whole workflow around AI rather than speeding up a single step.
Compensation
competitive benefits and compensation
Responsibilities
Embed with internal teams to map workflows, find the largest bottlenecks, and redesign the whole workflow around AI rather than speeding up a single step.
Build internal tools that replace manual processes.
Automate multi-step workflows end to end: validation, approvals, notifications, status tracking, and exception handling.
Prototype in days with AI coding tools and LLMs, then harden what sticks with testing, logging, error handling, and documentation.
Measure results: cycle time, tickets deflected, hours saved, and error rates.
Requirements
Bachelor's degree in a related field or equivalent practical experience
Contribute to real projects by preparing and refining raw datasets, assisting in training and fine-tuning machine learning models, and validating model performance for production readiness.
Own and grow internal web tools that coordinate the rollout of Zoox's robotaxi service to new cities, managing dashboards, integrations, and workflows.
Oversee daily operations of the team, motivate team members, encourage their personal development, and ensure alignment with organizational goals, while owning the technical architecture of the Data Hub.
Locations (3)
Germering, Bavaria, Germany
New York, United States
Sofia, Sofia-Capital, Bulgaria
Responsibilities
Oversee daily operations of the team
Motivate team members and encourage personal development
Ensure alignment with organizational goals
Address issues and facilitate communication
Report on team performance to upper management
Requirements
University degree in Data Engineering, Business Informatics, or a comparable field of study
Firmware Engineer student worker focusing on diagnostic infrastructure for the Core Firmware System Services team, working on the full development cycle of robot firmware development.
Compensation
$30 per hour.
Responsibilities
Work on the development of UDS, DoIP, and XCP clients and servers for current and next generation platforms
Develop and test embedded software for reporting diagnostic and configuration
Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation
Collaborate with system, software, hardware, and test engineers to define, implement, and validate diagnostic requirements
Laser validation engineer role is a part of product development team and is focused on engineering and design validation tests of critical components implemented in multiwavelength source for optical IO. Candidates will set up the validation capabilities, carry out validation tests, and provide data sets and analysis needed for semiconductor laser design and optimization.
Compensation
Salary Range: $160,000 to $187,000
Responsibilities
Work closely with architecture, design, product engineering, and external vendors to verify and understand expected component capabilities and testing needs.
Close the design feedback and identify critical performance metrics with product development, perform feasibility studies to optimize laser source performance.
Develop and implement test protocols to evaluate and compare different engineering approaches.
Maintain testing equipment and develop processes to improve test efficiency.
Analyze test data, document results, and provide feedback to the development team.
Join the Neuromodulation Software Development team as a Sr. Software Development Engineer in Test, focusing on test automation and connectivity projects to improve patient outcomes through cutting-edge neuromodulation technologies.
Responsibilities
Extract and create a Test Plan by reviewing design documents, technical requirements, and Jira stories, and maintaining it during the project lifecycle
Creating, maintaining, and refactoring the testing frameworks, implementing test libraries for Android and iOS mobile applications
Creating automated tests in Python using Pytest for Surface Pro application and mobile integration tests
Familiar with test case management tools like JIRA and Zephyr to create test suites and detailed test steps to ensure requirements traceability and test coverage
Familiar with using general mobile devices to interact with devices via Bluetooth, NFC, Wi-Fi, and using mobile applications to interact with our devices