Top Software Engineer Jobs in Bristol

Develop kernel and user space software for maximum hardware performance. Write code, conduct tests, participate in reviews, and contribute to design discussions.

The role involves testing AI/ML systems, creating workloads, building CI/CD pipelines, and improving test strategies while collaborating with development teams.

Design and implement features, optimize software performance, manage code quality, conduct code reviews, and mentor team members in developing machine learning frameworks like Triton.

Join the Triton frameworks team to design, implement, optimise and support software enabling Graphcore accelerators to work with ML frameworks (PyTorch, Triton, JAX, TensorFlow). Responsibilities include feature development, testing, performance profiling, code reviews, documentation, working with upstream open-source communities, and resolving regressions and defects.

As a System Software Engineer in Test, you will design and execute tests for firmware, collaborate with hardware teams, and mentor junior members.

Responsible for ensuring the correctness and reliability of numerical libraries, improving tests, debugging issues, and mentoring team members.

The role involves designing, implementing, testing, and documenting OS Kernel and Device Driver software, collaborating within an agile scrum team, and ensuring tight integration with hardware engineering to optimize performance.

Develop tools and services for building, testing, and integrating Machine Learning Software. Collaborate with QA and development teams, focusing on best practices and troubleshooting integration issues.

As a Graduate Engineer, you'll develop profiling tools for optimizing applications on Graphcore hardware and collaborate with the team.

Contribute to the design, implementation, and testing of software for future AI hardware, collaborating with teams to integrate and scale environments.

As a Graduate Software Engineer, you will develop and maintain software for ML frameworks, optimize performance, conduct code reviews, and support users.

As a Software Engineer II at Affirm, you will develop backend systems, collaborate with product teams, and support operations, ensuring timely project delivery while fostering team engagement and growth.

The Software Engineer will develop airborne software components, ensuring compliance with safety standards and certifications. Responsibilities include generating software, reviewing lifecycle data, collaborating with stakeholders, and monitoring project progress.

Develop and maintain high-volume exchange connectivity software, work within an agile team, write efficient code, and mentor team members.

The Graduate Software Engineer will develop high-performance ML kernels, optimize compute for AI hardware, and ensure software quality and functionality through debugging and testing.

The Senior Software Engineer will design and build backend services for health data, improve reliability, and deliver robust solutions to enhance patient care.

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.

Design and build a planetary-scale sensing platform using a clean software stack to manage drones and data, while integrating AI for insights.

The Software Engineer (Python) will develop and maintain software for The Uncertainty Engine, applying machine learning principles and collaborating in a cross-functional team.

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.