Define and execute AI strategies focused on RAG-based retrieval, code generation, and AI-assisted software engineering while leading a team of AI engineers.
Responsibilities
Define and execute AI strategies focused on RAG-based retrieval, code generation, and AI-assisted software engineering
Work with stakeholders to align AI capabilities with business objectives and software development needs
Research and integrate cutting-edge LLMs and autonomous AI agent architecture into development processes
Develop RAG pipelines that enhance AI‘s ability to retrieve relevant knowledge and generate context-aware responses
Build and optimize agentic AI systems that can interact with APIs, databases, and development environments
Requirements
Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field
Liaison with Japan OEM customer acting as technical interface between customer and GKN ECU software team. Leads ECU software reporting, issue tracking, and timeline management while supporting low voltage power electronics designs forUs.
Locations (3)
Nagoya, Aichi, Japan
Toyota, Aichi, Japan
Tochigi, Tochigi, Japan
Responsibilities
Verify and debug the overall base software (e.g. E-Electrical Diagnostics)
Support the development team by architectural and detailed designs including Technical Safety Concept for Software and CyberSecurity
Support SW-PL on detailed planning and customer coordination
Interface with the customer on vehicle design FMEAs and diagnostics interfaces
Reporting, meeting, explanation, and presentation within OEM
Build the foundation other engineers stand on, including service frameworks, shared libraries, observability, and resilience for Nominal’s mission-critical software.
Responsibilities
Build service frameworks and shared libraries for Nominal services
Lead engineering strategy for AI-enabled solutions across the Software Delivery Lifecycle, driving enterprise standards, automation, and developer productivity.
Responsibilities
Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
Creates ideas on designing complex technology and solution development approaches
Leads the technical oversight for teams in solution development including design reviews and code within own domain
Defines the technology tool stack for the solution within range of internally approved and supported technologies
Requirements
Bachelor’s degree in computer science, Engineering, Information Systems, Applied Mathematics, or a related technical field
Nice to have: Advanced degree in a technical discipline
Nice to have: Senior engineering experience in developer tooling
Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.
Responsibilities
Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.
Work closely with Product Owners to develop beautiful, usable UIs and creative visualizations.
Stay abreast of latest on the technology trends and industry best practices to hone and maintain your talent.
Participate in architectural discussions, iteration planning, and feature sizing meetings.
Develop code of high quality with customer focussed approach.
Senior Director of Engineering for Developer Platform, responsible for building and scaling Uber’s modern software factory and leading a distributed engineering organization across the US, Netherlands, and India.
Locations (4)
San Francisco, California, United States
Seattle, Washington, United States
Amsterdam, North Holland, Netherlands
India
Compensation
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits.
Responsibilities
Own the overarching vision, technical roadmap, and execution for Uber’s developer platform
Design, develop, and integrate the embedded software platform for feature applications in Ford's next-generation ADAS systems, including validation and verification of new features.
Compensation
This position is a salary grade 7-8 and ranges from $84,480- $166,200.
Responsibilities
Design, develop, and integrate the embedded software platform for feature applications in Ford's next-generation ADAS systems.
Demonstrate commitment to quality by applying best practices to modelling/coding standards, static analysis, model/requirement/code coverage, model- testcase reviews.
Support real-world testing of ADAS features, working closely with partner teams.
Support the SW requirement development, modeling , code generation and different levels of testing for the developed features.
Flash, validate and debug your code in bench and HIL setups, and in pre-production and prototype vehicles.
Requirements
Bachelor’s Degree in Software Engineering, Electrical Engineering or Computer Science
Software Engineer, Runtime InfrastructureNewNominal · New York, US
Software Engineer II - Java Full stack with AIMastercard · Pune, India
Sr. Software Engineer, Training/Inference (C++)SpaceXAI · Palo Alto, US
Sr Director, Engineering - Dev PlatformUber · San Francisco, US+3 more