Senior ISV DevRel Lead for AI/Compute Platforms in Reading

Senior ISV DevRel Lead for AI/Compute Platforms in Reading

Reading Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Engage with developers and promote NVIDIA's cutting-edge AI platforms.
  • Company: Join NVIDIA, a leader in AI technology and innovation.
  • Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with a chance to influence emerging technologies.
  • Why this job: Be at the forefront of AI technology and shape the future of developer ecosystems.
  • Qualifications: Strong technical background and experience in developer relations.

The predicted salary is between 70000 - 90000 £ per year.

NVIDIA AI is looking for a Senior Developer Relations Manager to engage with developer ecosystems across emerging technologies. This role involves working directly with software solution providers and industry professionals to promote NVIDIA's AI platforms.

The successful candidate will possess deep technical expertise combined with commercial experience, and will work to foster developer advocacy while addressing technical challenges and driving adoption strategies.

Senior ISV DevRel Lead for AI/Compute Platforms in Reading employer: NVIDIA AI

NVIDIA AI is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development in the rapidly evolving field of AI and compute platforms. Our commitment to fostering a supportive environment ensures that every team member can contribute meaningfully while enjoying the unique advantages of working at the forefront of technology in a vibrant location.

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Contact Details:

NVIDIA AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ISV DevRel Lead for AI/Compute Platforms in Reading

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 NVIDIA AI 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 NVIDIA AI.

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 NVIDIA AI.

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 NVIDIA AI 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 Senior ISV DevRel Lead for AI/Compute Platforms in Reading

Developer Relations
Technical Expertise
Commercial Experience
Advocacy Skills
Technical Problem-Solving
Adoption Strategies
Engagement with Developer Ecosystems

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 NVIDIA AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at NVIDIA AI 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 NVIDIA AI

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 NVIDIA AI 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.