Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build advanced platforms for high-performance computing and data processing.
- Company: Leading quantitative research and technology firm with a collaborative culture.
- Benefits: Competitive salary, flexible benefits, health insurance, and generous leave policies.
- Why this job: Join a team that turns ambitious ideas into reality using cutting-edge technology.
- Qualifications: Experience in software engineering and a passion for innovation.
- Other info: Dynamic environment with excellent career growth opportunities and a supportive culture.
The predicted salary is between 28800 - 48000 £ per year.
Our engineers design and build advanced platforms and infrastructure that power high-performance solutions, turning complex challenges into real-world results. Our quantitative engineers, also known as research engineers, are the driving force behind our success. Working side-by-side with researchers at the cutting edge, they leverage near-infinite compute power to help us pursue our ultimate goal: predicting the future.
From machine learning and data engineering to high-performance computing and low-latency systems, our specialist teams build the foundations that turn ambitious ideas into reality. Our infrastructure is built to handle and process extraordinary volumes of data every day – reliably, efficiently and at scale. Driven by a mindset of automation and innovation, we explore cloud technologies, scalable storage, grid computing and infrastructure as code to accelerate our teams’ most powerful ideas.
Responsibilities
- Design, build and operate platforms and infrastructure that support high-performance computing, low-latency systems and large-scale data processing.
- Collaborate with researchers and data scientists to apply machine learning, data engineering and HPC techniques to real-world problems.
- Implement automation and infrastructure-as-code practices to improve reliability, scalability and efficiency.
- Evaluate and adopt cloud technologies, storage solutions and grid computing to meet evolving needs.
- Ensure robust operations and performance of data pipelines and runtime environments.
Benefits
Leading benefits, designed for you. Alongside highly competitive compensation and an annual discretionary bonus scheme, we offer a wide range of benefits and perks tailored to your needs. From health and family to lifestyle and more, we take care of our people.
Our benefits are designed with our people in mind, with a wide range of flexible options tailored to your needs.
Finance and Health Benefits
- Company pension scheme
- Annual discretionary bonus scheme
- Season ticket loan
- Give as you Earn (GAYE)
- Risk protection benefits
- Charity fundraising matching scheme
- Generous relocation and immigration assistance
Health and Lifestyle Benefits
- Comprehensive private health insurance, including GP access, dental and vision
- Enhanced health support for male and female health, fertility, family forming, maternity and menopause journeys
- Healthcare cash plan covering a wide range of routine and complimentary healthcare expenses
- Employee Assistance and Wellness Programmes
- 30 days’ annual leave, with an extra five days for those who are office based
- Enhanced leave policies to support families
- Back-up dependent care for children, adults and pets
- Complimentary travel insurance for our people and their families
- Cycle schemes
- Gym and Fitness membership subsidies
- Free lunch and complimentary barista bar
- Regular company socials
- Informal dress code and excellent work-life balance
People and Culture
We look for world-class engineers with varied experience. Learn more about our assessment process. We share testimonials highlighting our collaborative, supportive environment and opportunities for growth.
Our opportunities
Looking to make an impact at one of the world’s leading quantitative research and technology firms? See our open roles and apply now.
Additional notes
Quantitative research & machine learning: We find patterns in noisy, real-world datasets to predict movement in financial markets. We identify, test and onboard the latest tech, enabling researchers and engineers to keep innovating. We partner with and invest in the open-source community.
Software Engineer in Cambridge employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in Cambridge
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, tech conferences, or even online webinars. The more you engage with others, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects and contributions. Whether it's GitHub repos or personal projects, let your work speak for itself. This is your chance to shine and demonstrate your expertise in software engineering!
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. Don’t forget to brush up on your soft skills too – communication and teamwork are key in our collaborative environment!
✨Apply Through Our Website
Don’t miss out on opportunities! Head over to our website to check out open roles and apply directly. We’re always on the lookout for talented engineers like you to join our innovative team.
We think you need these skills to ace Software Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight your experience in high-performance computing, machine learning, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the role and how your background makes you a great fit. Don’t just repeat your CV; give us insights into your problem-solving approach and your enthusiasm for innovation.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially in areas like automation and infrastructure-as-code.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people and shows us you're serious about joining our team!
How to prepare for a job interview at G-Research
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like machine learning, data engineering, and cloud technologies. Brush up on your coding skills and be ready to discuss specific projects where you've applied these techniques.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've tackled in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you’ve designed and built solutions that align with high-performance computing and data processing.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of examples where you’ve worked closely with researchers or data scientists. Be ready to explain how you contributed to team success and how you can bring that collaborative spirit to their environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to automation, infrastructure as code, and their latest projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
