Junior C++ Engineer — GPU-Accelerated ML Performance
Junior C++ Engineer — GPU-Accelerated ML Performance

Junior C++ Engineer — GPU-Accelerated ML Performance

Entry level 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Maintain and optimise high-performance C++ codebases for GPU-accelerated platforms.
  • Company: Groundbreaking tech company in Greater London with a focus on innovation.
  • Benefits: Mentorship, training, and a supportive work environment.
  • Why this job: Join a team making waves in AI solutions and enhance your skills.
  • Qualifications: 1–4 years of experience in modern C++ and a passion for technology.
  • Other info: Great opportunity for career growth in a dynamic field.

The predicted salary is between 28800 - 48000 £ per year.

A groundbreaking technology company in Greater London is seeking a Junior C++ Engineer to join their ML performance team. This entry-level position is ideal for candidates with 1–4 years of experience in modern C++. You will maintain high-performance C++ codebases and work closely with senior engineers to optimize software for GPU-accelerated platforms.

This role offers mentorship, training on performance optimization, and a chance to contribute to innovative AI solutions, along with a supportive work environment.

Junior C++ Engineer — GPU-Accelerated ML Performance employer: Hunter Bond

Join a pioneering technology company in Greater London, where innovation meets opportunity. As a Junior C++ Engineer, you'll benefit from a collaborative work culture that prioritises mentorship and professional growth, allowing you to enhance your skills in GPU-accelerated machine learning. With a focus on cutting-edge AI solutions, this role offers a unique chance to make a meaningful impact while enjoying a supportive environment that values your contributions.
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Contact Detail:

Hunter Bond Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior C++ Engineer — GPU-Accelerated ML Performance

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. You never know who might have a lead on that Junior C++ Engineer role.

Tip Number 2

Show off your skills! Create a GitHub profile showcasing your C++ projects, especially those related to GPU acceleration or ML. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for technical interviews by brushing up on your C++ knowledge and understanding GPU concepts. Practice coding challenges and be ready to discuss your thought process during problem-solving.

Tip Number 4

Apply through our website! We make it easy for you to find and apply for the Junior C++ Engineer position. Plus, it shows you're genuinely interested in joining our innovative team.

We think you need these skills to ace Junior C++ Engineer — GPU-Accelerated ML Performance

C++
GPU Acceleration
Performance Optimisation
Software Development
Collaboration
Mentorship
AI Solutions
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with modern C++. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the Junior C++ Engineer position and how you can contribute to our ML performance team. Keep it engaging and personal.

Showcase Your Passion for AI: We love candidates who are passionate about AI and performance optimisation. Mention any personal projects or experiences that demonstrate your enthusiasm for GPU-accelerated technologies.

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 Hunter Bond

Know Your C++ Inside Out

Make sure you brush up on your modern C++ skills before the interview. Be prepared to discuss key concepts like memory management, templates, and the Standard Template Library (STL). Practising coding problems related to these topics can really help you demonstrate your knowledge.

Understand GPU Acceleration

Since this role focuses on GPU-accelerated platforms, take some time to learn about how GPU computing differs from CPU computing. Familiarise yourself with frameworks like CUDA or OpenCL, and be ready to discuss how you would optimise code for performance in a GPU context.

Show Enthusiasm for AI Solutions

This company is all about innovative AI solutions, so make sure to express your passion for the field. Share any personal projects or experiences that relate to machine learning or AI, and be ready to discuss how you see your role contributing to the team’s goals.

Ask Insightful Questions

Prepare some thoughtful questions to ask your interviewers. This could be about the team’s current projects, the technologies they use, or how they approach mentorship and training. It shows you’re genuinely interested in the role and eager to learn from the senior engineers.

Junior C++ Engineer — GPU-Accelerated ML Performance
Hunter Bond

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