NVIDIA
Principal Developer Technology Engineer

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Principal Developer Technology Engineer
Principal Developer Technology Engineer – Advanced Rendering & AI in Games
About the Role
For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU—the engine of modern visual computing—the field has expanded to encompass PC gaming, movie production, product design, medical diagnosis, scientific research, and AI. Today, AI and visual computing are becoming central to how people interact with technology, and there has never been a more exciting time to join our team.
We are now seeking a Principal Developer Technology Engineer to focus on advanced rendering, including path tracing and neural graphics, as well as the broader adoption of AI technology in gaming.
Key Responsibilities
Collaborate with some of the most innovative AAA developers globally to:
- Optimize GPU and system performance for fastest and most fluid gameplay, with path-traced neural rendering and complex AI behaviors.
- Develop, profile, optimize, and tune neural rendering algorithms and AI models to maximize computing resources.
- Work closely with NVIDIA’s architecture and driver teams to enhance performance on current and next-gen hardware.
- Explore cutting-edge GPU technology, create technical demos, write whitepapers, and present work at industry conferences.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
See the following as minimum essential qualifications:
Education & Experience
- Master’s degree in Computer Science, Computer Engineering, or a related computationally focused field (or equivalent ** industry experience**).
- 15+ years of relevant work experience or research.
Technical Skills
- Proficient in C++ with strong software development, optimization, and debugging expertise.
- Exceptional math skills, including linear algebra, calculus, and performance modeling.
- Deep knowledge of:
- Real-time rendering (including ray/ path tracing).
- GPU technologies (shaders, shading languages like GLSL/HLSL, APIs like DirectX or Vulkan).
- Hands-on experience with low-level performance optimizations.
- In-depth expertise in CPU and GPU architecture.


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AI & Development Expertise
- Strong understanding of AI fundamentals, with experience applying ML tools for programming productivity and designing custom AI solutions.
- Familiarity with Neural Graphics techniques is a strong-plus.
Soft Skills & Other Requirements
- Strong communication, organization, and prioritization skills.
- Willingness to travel for on-site visits and conferences.
Preferred Qualifications (Ways to Stand Out)
- Professional experience in machine learning algorithms and applications.
- Experience optimizing inference / training workloads.
- Windows or Linux driver development back ground.
- Deep exposure to Neural Graphics methodologies.
Compensation Note
Base salary will be location- and experience-dependent. For Poland, the range is 483,750 PLN – 838,500 PLN (J R2013547).
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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