Software Engineer – Hardware Dataflow

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NVIDIA Hungary Kft.
Munkavégzés helye

Országos lefedettség

Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
Elvárt technológiák
- HARDWARE NETWORK CLOUD HARDWARE– C++ TESTING
Elvárások
- Nem kell nyelvtudás
- 1-3 év tapasztalat
- Egyetem

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Deliver end-to-end Hardware/Software solutions bridging the gap between the world and our accelerators.
Build and operate real-time, distributed compute frameworks and runtimes to deliver planet-scale inference for LLMs and advanced AI applications at ultra-low latency, optimized for heterogeneous hardware and dynamic global workloads.
Develop deterministic, low-overhead hardware abstractions for thousands of synchronously coordinated accelerators across a software-scheduled interconnection network; prioritize fault tolerance, real-time diagnostics, ultra-low-latency execution, and mission-critical reliability.
Future-proof our software stack for next-gen silicon, innovative multi-chip topologies, emerging form factors, and heterogeneous co-processors.
Foster collaboration across cloud, compiler, infra, data centers, and hardware teams to align engineering efforts, enable seamless integrations, and drive progress towards shared goals.

Requirements

MSc or higher degree in CS/EE/CE/Mathematics or equivalent experience
Deep curiosity about system internals – from kernel-level interactions to hardware dependencies – and the ability to solve problems across abstraction layers down to the hardware details of our chips.
Minimum 2 years of relevant experience, preferably in computer architecture, compiler backends, algorithms, and hardware–software interfaces.
System-level programming (Haskell, C++, or similar) with emphasis on low-level optimizations and hardware-aware design.
Track record of shipping high-impact, production-ready code while collaborating effectively with cross-functional teams.
Experience profiling and optimizing systems for latency, throughput, and efficiency, with zero tolerance for wasted cycles or resources.
Commitment to automated testing and CI/CD pipelines.
Pragmatic technical judgement, balancing short-term velocity with long-term system health.
Empathetic, maintainable code with strong version control and modular design, prioritizing readability and usability for future teammates.

Nice-to-have

Experience with FPGA development, VFIO drivers, or HDL languages., Experience shipping complex projects in fast-paced environments while maintaining team alignment and stakeholder support., Hands-on optimization of performance-critical applications using GPUs, FPGAs, or ASICs (e.g., memory management, kernel optimization)., Familiarity with ML frameworks (e.g. PyTorch) and compiler tooling (e.g. MLIR) for AI/ML workflow integration., You initiate without derailing, value "code in prod" over "perfect slides", and own outcomes from whiteboard to deployment.

Company info

NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.