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- Tasks: Develop and optimise Python tool flows for next-gen AI hardware design.
- Company: Join a leading tech firm focused on innovative AI solutions.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 3+ years in Python development and experience with automation tools.
- Other info: Collaborative team environment with exciting projects and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Python Software Developer to support the development of software tool flows used in next-generation AI chip hardware design. You will work closely with hardware engineers, toolchain specialists, and cross-functional engineering teams to build, enhance, and maintain automation flows, data pipelines, and development tools that accelerate hardware development cycles.
This is a remote role with a mandatory Day 1 on-site visit for laptop collection and onboarding.
Key Responsibilities- Develop, maintain, and optimise Python-based tool flows supporting AI hardware and silicon development.
- Build robust automation frameworks for data processing, simulation, testing, and verification workflows.
- Integrate tools with existing EDA environments, internal build systems, and CI/CD frameworks.
- Collaborate with hardware designers and verification teams to understand workflow requirements and deliver effective software solutions.
- Troubleshoot toolchain issues and contribute to improving development efficiency across the hardware organisation.
- Produce high-quality, well-documented, and maintainable code following best practices.
- Strong professional experience in Python software development (3+ years desirable).
- Demonstrable experience building automation, tooling, or workflow software for hardware, silicon, or embedded development.
- Familiarity with EDA tools, hardware design concepts, or related engineering workflows.
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
- Strong understanding of software engineering best practices, version control (Git), and code quality principles.
- Excellent problem-solving ability and ability to collaborate in cross-disciplinary engineering teams.
- Experience with AI chip, accelerator, or SoC development environments.
- Knowledge of hardware description languages (Verilog, VHDL) or hardware verification flows.
- Experience with scripting languages beyond Python (e.g., Bash, Tcl).
- Background in high-performance computing or data pipeline automation.
- Must be based in the UK and eligible to work under an inside IR35 contract.
- Must be able to attend Cambridge or Bristol on Day 1 for equipment pickup and team introduction.
Python Software Developer (Tool Flow Development – AI Hardwa employer: microTECH Global Limited
Contact Detail:
microTECH Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Software Developer (Tool Flow Development – AI Hardwa
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AI hardware or Python development. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to automation or tool flows. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of EDA tools and CI/CD frameworks. Be ready to discuss how you've used these in past projects, as it shows you're not just a coder but someone who understands the whole workflow.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Python Software Developer (Tool Flow Development – AI Hardwa
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your automation and tooling expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working with us at StudySmarter and how your background in AI hardware development makes you a perfect fit for the team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think critically and collaborate effectively with cross-functional teams.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at microTECH Global Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to build automation tools or workflows, especially in relation to hardware development.
✨Familiarise Yourself with EDA Tools
Since the role involves working with EDA environments, it’s crucial to have a good understanding of these tools. Do some research on common EDA tools and be prepared to talk about how you’ve integrated them into your previous projects.
✨Show Off Your Collaboration Skills
This position requires working closely with hardware engineers and cross-functional teams. Think of examples from your past experiences where you successfully collaborated with others to solve problems or improve processes.
✨Prepare for Technical Questions
Expect technical questions related to CI/CD tools and software engineering best practices. Brush up on your knowledge of version control systems like Git and be ready to explain how you ensure code quality in your projects.
