At a Glance
- Tasks: Design and optimise GPU kernels in CUDA for high-performance AI workloads.
- Company: Join a dynamic team pushing the boundaries of GPU technology.
- Benefits: Competitive daily rate, remote work, and potential for contract extension.
- Other info: Remote role with opportunities for growth in cutting-edge tech.
- Why this job: Be at the forefront of AI innovation and tackle complex challenges.
- Qualifications: Strong C++ and CUDA experience with a passion for GPU performance.
Job Description
CUDA Backend Developer - Contract
Remote | £400-£500 per day | Outside IR35 | 6-Month Initial Engagement
Overview
We're looking for an experienced CUDA Backend Developer to join a high-performance engineering team working on GPU-accelerated simulation and AI workloads. You'll collaborate with C++ systems engineers and research scientists to design, implement, and optimize GPU-intensive Back End modules that push the limits of performance and scalability.
What You'll Do
- Design and implement GPU kernels in CUDA C, focusing on:
- Kernel fusion
- On-device operations
- GPU memory optimization
- Build and use profiling tools (eg, Nsight) to measure and improve GPU utilization, inference latency, and training throughput.
- Optimize custom models for deployment with TensorRT or similar inference engines.
- Integrate GPU functionality into Back End APIs and orchestration layers.
- Work closely with research and engineering teams to translate models into performant CUDA implementations.
What We're Looking For
- Strong experience in C++ (11/14/17) and CUDA C programming.
- Proven track record using GPUs for compute-intensive applications in production environments.
- Hands-on with CUDA profiling, debugging, and Kernel optimization.
- Deep understanding of multi-threaded/multi-process architectures and Linux systems development.
- Proficiency in low-level I/O, memory management, and performance tuning
Nice to Have
- Experience with distributed training/inference pipelines.
- Familiarity with Docker and Kubernetes.
- Exposure to Embedded systems or hardware-level software integration.
Start: ASAP
Duration: 6 months (strong potential to extend)
Location: Remote (UK or EU-based preferred)
IR35: Outside
If you're a GPU performance enthusiast who thrives on complex Back End challenges and wants to contribute to cutting-edge AI systems, we'd love to hear from you.
Apply now or get in touch directly for a confidential conversation.
C++ Developer - CUDA, Kernel, TensorRT, GPU in Leeds employer: dcoded
Join a dynamic and innovative team as a C++ Developer, where you'll have the opportunity to work remotely while collaborating with top-tier engineers and researchers on groundbreaking GPU-accelerated projects. Our company fosters a culture of continuous learning and growth, offering competitive daily rates and the flexibility of remote work, making it an ideal environment for those passionate about pushing the boundaries of technology in AI and simulation. With a focus on employee development and cutting-edge projects, we provide a unique platform for you to enhance your skills and make a significant impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land C++ Developer - CUDA, Kernel, TensorRT, GPU in Leeds
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at dcoded or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to dcoded.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like dcoded.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like dcoded that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace C++ Developer - CUDA, Kernel, TensorRT, GPU in Leeds
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at dcoded.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at dcoded and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at dcoded
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If dcoded uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
