Top Software Engineer Jobs in Lyon

The role involves maintaining and modernizing the Rails stack, improving performance and reliability, and building internal tooling to support scalable infrastructure.

The Senior Software Engineer will design and build backend systems for data science features, focusing on scalable solutions for processing streaming data and enhancing core products.

Design and implement distributed systems for data pipelines, focusing on durability, availability, low latency, and scalability. Collaborate in a hybrid work environment.

As a Staff Engineer, you will lead architecture design, take ownership of system delivery, and improve performance efficiency at Datadog.

Lead the technical direction of the user analytics platform, architect backend systems for product analytics workloads, and mentor engineers.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

As a Software Engineer II at Tech Soft 3D, you will maintain and enhance C/C++ SDKs for CAD applications, solve complex issues, collaborate in an Agile environment, and contribute to product quality and documentation.

As an Ubuntu Core Software Engineer, you will design and implement features for the embedded Linux operating system, maintain boot mechanisms, debug system-level issues, and collaborate with a global team.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

The Python Software Engineer will develop and maintain test automation tools for hardware certification and improve Linux testing methods.

You will build and maintain container images, automate CI/CD processes, engage with the community, and mentor junior team members in a collaborative environment.

Lead Python Software Engineer responsible for developing solutions, collaborating on designs, mentoring team members, and enhancing engineering practices.

Develop and enhance dqlite, a distributed SQLite database, including debugging, implementing features, and engaging with the open source community.

The Full Stack Software Developer will design, develop, and maintain software applications, optimize performance, collaborate with teams, and support deployment processes.

As a Senior Software Engineer, you will develop observability features for macOS, tackle system telemetry challenges, and lead product decisions while mentoring peers.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.