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- Tasks: Lead the architectural vision for cutting-edge ML accelerator software.
- Company: Innovative tech company based in Bristol with a focus on AI.
- Benefits: Flexible working, competitive salary, and a supportive environment.
- Why this job: Shape the future of AI technology and work on impactful projects.
- Qualifications: Expertise in firmware, drivers, and ML frameworks required.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 60000 - 84000 £ per year.
A technology company in Bristol is seeking a Principal Architect to define and drive the architectural vision for their ML accelerator software stack. This role requires expertise in firmware, drivers, and ML frameworks, alongside excellent communication and collaborative skills.
Responsibilities include:
- Overseeing the software architecture
- Ensuring alignment with engineering teams
- Adapting the architecture as products evolve
The position offers competitive benefits, including flexible working and a supportive environment.
Principal Software Architect - AI Stack for ML (Flexible) in Bristol employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Software Architect - AI Stack for ML (Flexible) in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to ML frameworks and software architecture. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly and concisely, as communication is key in this role. We want to see how you collaborate and adapt!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Principal Software Architect - AI Stack for ML (Flexible) in Bristol
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your experience with firmware, drivers, and ML frameworks in your application. We want to see how your skills align with our needs, so don’t hold back!
Communicate Clearly: Since this role requires excellent communication skills, ensure your written application is clear and concise. We appreciate straightforwardness, so keep it professional yet approachable.
Tailor Your Application: Take the time to customise your application for the Principal Software Architect position. We love seeing candidates who understand our architectural vision and can adapt as products evolve.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Cerebras
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest ML frameworks, firmware, and drivers. Brush up on your knowledge of architectural principles and be ready to discuss how you've applied them in past projects. This will show that you’re not just familiar with the tech but can also drive the architectural vision.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering teams, prepare examples of how you've successfully collaborated in the past. Think about specific projects where your communication made a difference. Highlighting these experiences will demonstrate that you can align the software architecture with team goals.
✨Be Ready for Adaptability Questions
The job requires adapting architecture as products evolve, so expect questions about how you've handled changes in previous roles. Prepare to discuss a time when you had to pivot your approach and how you managed that transition. This will illustrate your flexibility and problem-solving skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s future. Inquire about their vision for the ML accelerator stack or how they foresee the role evolving. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
