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- Tasks: Develop digital hardware/FPGA's using SystemVerilog for machine learning applications.
- Company: Join a leading machine learning business in the heart of Cambridge's tech hub.
- Benefits: Enjoy hybrid working, competitive salaries, and a fantastic benefits package.
- Why this job: Be part of an innovative team tackling exciting challenges in AI technology.
- Qualifications: Experience in FPGA design, SystemVerilog, and exposure to Quartus or Vivado required.
- Other info: Visa sponsorship available for qualified candidates.
The predicted salary is between 48000 - 72000 £ per year.
A leading machine learning business involved in developing incredible financial industry technology are seeking skilled Senior FPGA Engineers to join their HQ in Cambridge. This company offers fantastic benefits, an enjoyable work culture and a real challenge, with exciting investment into new innovation.
As a Senior FPGA Engineer you will develop digital hardware / FPGAs using SystemVerilog. You'll work closely with software and machine learning experts to help build low-latency / high-throughput applications.
What skills and experience is required:
- FPGA Design, development and testing experience
- Previous experience in using SystemVerilog, VHDL and/or Verilog
- Exposure to Quartus and/or Vivado
- Any exposure or understanding of low latency, machine learning, or neural network architectures would be beneficial but not essential.
Visa Sponsorship is available if required.
Senior FPGA Engineer - Machine Learning employer: Octagon Group
Contact Detail:
Octagon Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior FPGA Engineer - Machine Learning
✨Tip Number 1
Network with professionals in the FPGA and machine learning fields. Attend industry meetups or online webinars to connect with potential colleagues and learn more about the latest trends and technologies.
✨Tip Number 2
Showcase your hands-on experience with FPGA design tools like Quartus and Vivado. If you have personal projects or contributions to open-source projects, be ready to discuss them during networking events or interviews.
✨Tip Number 3
Stay updated on advancements in machine learning and AI, particularly how they relate to FPGA applications. This knowledge can set you apart and demonstrate your genuine interest in the role.
✨Tip Number 4
Prepare to discuss specific challenges you've faced in previous FPGA projects and how you overcame them. This will highlight your problem-solving skills and technical expertise during interviews.
We think you need these skills to ace Senior FPGA Engineer - Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your FPGA design and development experience, particularly with SystemVerilog, VHDL, and Verilog. Emphasise any relevant projects or roles that showcase your skills in low-latency applications and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical skills but also expresses your enthusiasm for the role and the company. Mention how your background aligns with their focus on machine learning and financial technology.
Showcase Relevant Projects: If you have worked on specific projects involving FPGA development or machine learning, include these in your application. Detail your contributions and the technologies used to demonstrate your hands-on experience.
Highlight Soft Skills: In addition to technical expertise, highlight soft skills such as teamwork and communication. Since you'll be collaborating with software and machine learning experts, showcasing your ability to work in a team is crucial.
How to prepare for a job interview at Octagon Group
✨Showcase Your FPGA Expertise
Be prepared to discuss your previous FPGA design and development experiences in detail. Highlight specific projects where you used SystemVerilog, VHDL, or Verilog, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Knowledge of Machine Learning
Even if you don't have extensive experience in machine learning, showing a basic understanding of low-latency applications and neural network architectures can set you apart. Brush up on relevant concepts and be ready to discuss how they relate to FPGA design.
✨Familiarise Yourself with Tools
Make sure you're comfortable discussing tools like Quartus and Vivado. If you've used them in past projects, prepare to talk about how you utilised these tools to achieve your design goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and culture. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Consider asking about their approach to innovation in machine learning technology.
