IBM Quantum is an industry first initiative to build universal quantum computers for business, engineering and science. This effort includes advancing the entire quantum computing technology stack and exploring applications to make quantum broadly usable and accessible. With a worldwide network of Fortune 500 companies, academic institutions, researchers, educators, and enthusiasts, we are committed to driving innovation for our clients in the IBM Quantum Network and the Qiskit Community.
Your Role And Responsibilities
IBM is seeking a skilled AI Software Engineer, specialized in AI for Quantum, for a position in Spain, reporting to the T.J. Watson Research Center in Yorktown Heights, NY. This role will focus on designing, implementing, and maintaining robust solutions in the domain of AI for Quantum, using modern frameworks, tools, and practices, while leveraging existing resources in the AI field. The ideal candidate should possess hands-on experience in applying Reinforcement Learning to Quantum Computing problems, professional programming experience in Python and Rust, knowledge of Qiskit and its transpiler, familiarity with CI/CD systems and microservices architectures, and expertise in complex R&D projects. The candidate is expected to work closely with interdisciplinary engineering and research teams.
Good communication skills and the ability to handle fast-paced, complex work are essential. The ideal candidate should be a self-motivated and driven individual who can work independently as well as in multi-team settings.
Preferred Education
Doctorate Degree
Required Technical And Professional Expertise
- Knowledge of Reinforcement Learning fundamentals
- Practical experience with RL-based projects
- Programming skills in Python, Rust, and other relevant languages
- Familiarity with Qiskit and Quantum Computing concepts
- Proficiency in source code management using GitHub
- Experience with monitoring tools like LogDNA, Sysdig, or similar alternatives
- Knowledge of containerization and orchestration tools, including Docker and Kubernetes
- Familiarity with CI/CD environments, such as Tekton, Argo CD, Travis CI, and others
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Hands-on experience with major cloud platforms, including IBM Cloud, Azure, and AWS
- Proven expertise in Reinforcement Learning, with experience in conceptualizing, implementing, and resolving classical problems using RL
- In-depth knowledge of RL-based algorithm implementation
- Hands-on experience with Qiskit and Quantum Computing concepts, with a strong understanding of their applications
- Ability to leverage distributed environments for AI tasks, including training, inference, and related activities
- Practical experience applying AI techniques to quantum computing challenges in the AI for Quantum domain
- A track record of contributing to developer ecosystems, communities, and open-source projects, with a commitment to collaboration and knowledge sharing
- Excellent communication skills, with the ability to collaborate across teams and clearly articulate complex ideas
- Strong analytical and problem-solving skills, with attention to detail and a systematic approach to resolving complex issues
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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